JP3216529B2 - Performance data analyzer and performance data analysis method - Google Patents

Description

DETAILED DESCRIPTION OF THE INVENTION

[0001]

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to an apparatus for analyzing performance data in electronic musical instruments, computer music, and the like, and to performance data analysis for detecting a key from melody information composed of data corresponding to notes of the performance data. The present invention relates to a device and a performance data analysis method.

[0002]

2. Description of the Related Art Conventionally, in order to add a chord (chord) to a melody or arrange music in an electronic musical instrument, computer music, or the like, it is necessary to detect the key of performance data. As a method of detecting the key of such performance data,
There is a method of detecting the key by considering the final sound of the melody indicated by the performance data as the main tone.However, this method cannot be applied when transposing in the middle of the melody, and it requires a detailed key change that can determine the chord progression. There is a problem that it cannot be detected. Therefore, there is a method of dividing the melody into blocks of a predetermined length, such as for each passage, and detecting a key in each block. However, it is still insufficient and accurate key detection cannot be performed.

[0003]

SUMMARY OF THE INVENTION It is an object of the present invention to perform accurate key detection from melody information of performance data.

[0004]

According to a first aspect of the present invention, there is provided a performance data analyzing apparatus for solving the above-mentioned problems, wherein performance data input means for inputting performance data indicating a sequence of musical notes; Input by performance data input means
The applied performance data is added to the section occupied by one chord.
Section dividing means for dividing into corresponding variable-length predetermined sections;
Performance data of each section divided by the section dividing means
Key detecting means for detecting the key of the key.

According to a second aspect of the present invention, there is provided a performance data analyzer, wherein performance data input means for inputting performance data indicating a sequence of musical notes;
Therefore, one chord occupies the input performance data.
Section division to divide into predetermined sections of variable length corresponding to the section
Means, a note name string storing means for storing a note name string comprising a main note name characterizing each of the plurality of keys,
A note name string extracting means for extracting, from the note name string storage means, a note name string at least partially included in the plurality of note names included in the performance data of the section divided by the interval dividing means; a harmony sound extraction means for extracting a harmonic sound included in the performance data inputted by the input means, and sound name string extracted by the pitch name string extraction means, the sum
Key detecting means for detecting a key based on the harmony extracted by the voice extracting means .

According to a third aspect of the present invention, there is provided a performance data analyzer, wherein performance data input means for inputting performance data indicating a sequence of musical notes, and performance data input by the performance data input means are combined into one. Code occupies
A section dividing means for dividing into a predetermined section of variable length corresponding to the section, a note name string storing means for storing a note name string comprising a main note name characterizing each key in a plurality of tones; A note name string extracting means for extracting, from the note name string storing means, a note name string at least partially included in the plurality of note names included in the performance data of the section divided by the means; Key detecting means for detecting a key for each section based on a note name string extracted by the means.

According to a fourth aspect of the present invention, there is provided a performance data analyzer, wherein performance data input means for inputting performance data indicating a sequence of musical notes;
Therefore, one chord occupies the input performance data.
Section division to divide into predetermined sections of variable length corresponding to the section
Means, an embroidery sound detection means for detecting an embroidery sound pattern from the performance data of the section divided by the section division means, and a part of the detected embroidery sound pattern. The harmony sound is determined as a harmony sound, the remaining portion of the embroidery sound pattern is determined as a non-harmony sound as an embroidery sound, and the performance data having a predetermined pitch relationship with the determined harmony sound is determined as a harmony sound. Determining means.

Further, performance data analysis method according to claim 5 of the present invention, receives performance data showing the sequence of sound marks, the performance data is the input, one code occupies
Divided into predetermined sections of variable length corresponding to the section
Detecting the key of the performance data of each divided section .

In a performance data analysis method according to a sixth aspect of the present invention, for each of a plurality of tones, a note name string comprising a main note name characterizing each key is stored in a note name string storage means, Performance data indicating a sequence of notes is input, and the input performance data is stored in a section occupied by one chord.
Divide into corresponding variable-length predetermined sections, and
A plurality of note names included in the performance data of the section divided by the stage are extracted from the note name string storage means, and a harmony tone included in the input performance data is extracted. Is extracted, and a key is detected based on the extracted tone name sequence and harmony.

In the performance data analysis method according to a seventh aspect of the present invention, for each of a plurality of tones, a note name string comprising a main note name characterizing each key is stored in a note name string storage means. Performance data indicating a sequence of notes is input, and the input performance data is stored in a section occupied by one chord.
Dividing into corresponding sections of variable length and extracting a note name string at least partially included in the plurality of note names included in the performance data of the divided section from the note name string storage means, A key is detected for each section based on the extracted note name sequence.

In the performance data analysis method according to the present invention, performance data indicating a sequence of musical notes is input, and one code occupies the input performance data.
Divided into predetermined sections of variable length corresponding to the section
An embroidery sound pattern is detected from the performance data of the divided section, a part of the detected embroidery sound pattern is determined to be a harmonious sound, and the remaining part of the embroidery sound pattern is embroidered. The sound is determined to be a non-harmonic sound, and the performance data having a predetermined pitch relationship with the determined harmonic sound is determined to be a harmonic sound. According to a ninth aspect of the present invention, there is provided a performance data analyzer, wherein performance data input means for inputting performance data indicating a sequence of notes, and a section for dividing the performance data input by the performance data input means into predetermined sections. dividing means, that and a harmony sound extracting means for extracting information on the performance data of each section divided small nodal lines, the number of notes, the note name number, the sound generation timing pattern thus the harmonic tones by the section dividing means It is characterized by. Further, performance data analyzer according to claim 10 of the present invention, the performance data input means for inputting performance data indicating a sequence of notes, sound marks number performance data input by the performance data input means, note length, characterized in that it comprises a section dividing means for dividing the sound generation timing <br/> pattern to result section, and a detecting means for detecting a tone and / or code of the performance data of each section divided by the section dividing means And The performance according to claim 11 of the present invention.
The data analyzer is a performance data showing a sequence of notes.
Data input means for inputting the performance data;
The performance data input by the means
Section divided into predetermined sections of variable length corresponding to the occupied section
An interval dividing unit, and each of the segments divided by the section dividing unit.
Harmonic sound extraction means for extracting the harmonic sound of the performance data of the section
And the following. Claims of the present invention
Twelve performance data analyzers show a sequence of notes
Performance data input means for inputting performance data;
One piece of performance data input by the data input means
Variable length corresponding to the section occupied by
Segment dividing means for dividing, and dividing by the section dividing means.
Code to detect the code of the performance data of each divided section
And a detecting means. In addition, the present invention
The performance data analysis method according to claim 13, wherein the musical note sequence
Input the performance data indicating the performance data.
Is divided into predetermined sections, and the performance of each of the divided sections is performed.
Bar lines, number of notes, note names, pronunciation timing
Extracting harmony sounds by using
You. A performance data analysis method according to claim 14 of the present invention.
Inputs performance data indicating a sequence of notes,
The input performance data is converted into the number of notes, note length,
Divided into sections according to the
To detect key and / or chord of performance data
And

A key in the performance data is detected based on a harmony tone and a note name string in the performance data. Since the harmony and the tone sequence show the characteristics of the key of the melody, the tones can be detected from the tone sequence extracted by the tone sequence extracting means, or the harmony tones extracted by the harmony tone sequence extracting means can be detected. When the key is detected from the tone sequence, an accurate key can be detected. According to the ninth aspect, the number of notes in an arbitrary section of the performance data corresponds to the note density, and when the note density is low, the note in that section includes a non-harmonic tone, so that the note in the section is a harmony note. If the note density is high, the degree of non-harmonic sound included in the section is high, and the note in the section is unlikely to be a harmonic sound. Also, when the number of pitch names is small, the degree of non-harmonic sounds included in the section is low, so there is a high possibility that the notes in that section are harmonic sounds. Since the degree of inclusion is high, the likelihood of the note in that section being a harmony is reduced. Furthermore, if the note length is long, it is likely to be a harmonious sound, and if the note length is short, it is likely to be a non-harmonic sound. Thus, the bar, the number of notes, note name number, extracting the sound generation timing pattern thus the harmonic tone becomes easy to extract the harmonic sound. It is preferable that the performance data analyzing apparatus according to the ninth aspect analyzes the performance data, divides the performance data into the detection sections, and extracts the harmony sound from the divided detection sections. It is characterized by the following. Furthermore, a preferred embodiment of the performance data analyzer according to claim 9 is to extract a harmony sound from the beginning of the melody in each of the divided detection sections in order, and to add a harmony from the end of the melody to the detection section where the harmony sound could not be extracted. It is characterized in that voice sounds are extracted. Further, performance data analyzer according to claim 10, the input performance data, the number of notes, note length is divided into sections according to the tone generation timing patterns, detect tone and / or code for the divided sections I do. Since the number of notes, the note length, and the sounding timing pattern show the characteristics of the timing at which the key and chord of the melody change, accurate keys and chords can be detected. It is preferable that the performance data analysis device of the tenth aspect extracts a candidate key for each of the divided sections and detects a key in the performance data based on the extracted candidate key. It is a feature. Further, a preferred embodiment of the performance data analyzer according to the present invention is such that a candidate code is extracted for each of the divided sections, and a code in the performance data is detected based on the extracted candidate code. It is a feature.

[0013]

FIG. 2 is a block diagram of an electronic musical instrument to which a performance data analyzer according to an embodiment of the present invention is applied.
U1 controls the entire electronic musical instrument using the working area of the working memory 3 based on the control program stored in the program memory 2, operates the controls 4 such as panel switches, and performs display processing on the display device 5. By
Operate in normal mode or melody analysis mode.

In the normal mode, the CPU 1 fetches a key code, touch data, a key-on signal (or a key-off signal) or the like corresponding to a key event of the keyboard 6 and outputs the key code and a note-on or note-off to the sound source 7. Performs sound generation processing and mute processing corresponding to keyboard performance. The sound source 7 generates a tone signal corresponding to the data input from the CPU 1, and the sound system 8 generates a tone by performing D / A conversion and amplification of the tone signal.

In the melody analysis mode, first, the CPU 1
Captures key codes, touch data, key-on signals (or key-off signals), etc., corresponding to key events on the keyboard 6, and generates performance data based on these data.
The processing for generating the performance data is performed by inputting one note at a time by the mode of a real-time record for generating the performance data in accordance with the normal performance operation on the keyboard 6 or operating the keyboard 6 and the operating element 4 to generate the performance data. In the step record mode.

Further, from the performance data, a variation or the like of the pitch during the input performance is corrected (quantized) to generate pitch data indicating the note length of the note, and the pitch data, the pitch data,
Melody data composed of rest data and rest length data is formed and stored in the data memory 9 (RAM). And
When the melody data is stored, the CPU 1 analyzes the stored melody data, as described later in detail, and analyzes the section analysis data obtained by dividing the melody data, the data of the detection tone, and the data of the detection chord (chord) into the analysis data. And stored in the data memory 9.

FIG. 3 is a diagram showing each format of the melody data and the section analysis data in the analysis data. Same figure
The melody data shown in (A) represents one note with pitch data corresponding to pitch and pitch data corresponding to note length, and rest data and rest length corresponding to rest note length. Data represents one rest. The pitch data is a key code, and the rest data is a predetermined specific identification code. The note length data and rest length data are data representing the time length by the number of clocks in units of a predetermined clock (for example, a clock obtained by dividing a quarter note into 24).

In an actual performance, the actual sounding time may be different between the case where the same note is played with a slur and the case where the same note is played with a staccato, as described above. Is processed so that the number of clocks is equal to the note length regardless of the actual sounding time. Therefore, the position of the bar line is determined by adding the note length data and the rest length data from the beginning of the melody data, and thereby the melody data can be searched in a measure unit or a phrase unit.

The section analysis data shown in FIG. 3B is obtained by dividing the melody data into chord rhythm sections according to the result of the melody analysis, as will be described later.
It is recorded in the format in which the divided data indicating the boundary of each chord rhythm section is inserted into the melody data of (A). Note that end data is recorded at the end of the melody data and the section analysis data.

FIG. 1 is a conceptual diagram for explaining the flow of melody analysis in the embodiment. First, the melody data in the data memory 9 is divided into phrases (# 1 to #N), and each of these phrases is further finely divided into chord rhythms (# 11 to # 1M,.
1 to #NL). Here, the phrase is a unit section when the melody data is divided into a predetermined length with a good separation, and the manner of division will be described later. A chord rhythm is a section smaller than a phrase, such as one bar or two beats, and means a unit section occupied by one chord in the chord progression. The manner of division is determined according to the characteristics of the melody as described later.

Next, a chord sound is extracted from each chord rhythm section, and based on the chord sound, chord rhythms are combined as necessary to form a detection section for key detection, and the chord having a changed section is obtained. Rhythm (# 11 to # 1M ', ~, # N1 to #N
L '). A harmony tone and a tone name string are extracted for each detection section of the reconstructed chord rhythm, and a candidate key is extracted based on the harmony tone and the tone name string.

In this embodiment, for example, as shown in Table 1 below, note name strings composed of main note names characterizing the key corresponding to the scale of each key are represented by I, II, III, and IV. When the candidate tones are extracted from the harmony tone and the note name string in the program memory 2, the scales included in the note name string of the detection section are extracted from the harmony note and the note name string. A note string is searched, and a key of a note including this note string and a harmony in a detection section is set as a candidate key. Then, the key of the detection section is determined from the candidate keys.

[0023]

[Table 1]

In this embodiment, the chord (chord) of the detection section divided from the detection section divided for key detection and the harmony of the detection section is used.
And a code is detected based on the chord progression data stored in the code sequence DB (database) 10 (FIG. 2). At this time, the chord to be determined is determined by matching with the chord progression data while checking whether the determined chord is suitable as the first or last chord of the phrase.

FIG. 5 is a diagram showing an example of the chord progress data. The chord progression data indicates a typical chord progression.
There are three chord progressions composed of one chord and two chord progressions composed of two chords. The 4-chord progression, 3-chord progression, and 2-chord progression are classified into chord progression data corresponding to major and minor, respectively.
Further, the four chord progression is classified into a synchronous type in which one chord corresponds to one bar and an asynchronous type in which a chord does not correspond to a bar. Each chord of these chord progressions is indicated by a combination of root (I) and type (maj), such as Imaj. Here, the root note is represented by a frequency based on the key of the key, so that the chord progression data is 1
The tones of two tones (C, C♯, D,..., B) can be commonly handled.

Also, similar code progress data are assigned a priority level. For example, in the case of the four-code progression (synchronous) DB shown in FIG.
m7 → V7 ”(in C major, Cmaj → Amin → Dm7 → G7
) Has the highest priority level, and “IIIm7 → IVmin → IIm7 → V
7 (in C major, Em7 → Fmin → Dm7 → G7), “I
maj → IIm7 → V7 → Imaj ”(in C major, Cmaj → Dm7
→ G7 → Cmaj), the priority level is lower.

FIG. 6 is a flowchart of the melody analysis process of the control program in the melody analysis mode in the embodiment, and FIGS. 7 to 17 are flowcharts of subroutines. The operation of the embodiment will be described based on each flowchart.

When the melody analysis mode is designated by operating the operation element 4, the melody analysis process shown in FIG. 6 is started.
In step S1, the melody data is stored by performing the data input process of FIG. 7, and if there is a chord rhythm input, the melody data is also stored. In step S1-1, it is determined whether or not the mode is the chord rhythm automatic setting mode.
Otherwise, the process proceeds to step S4. Step S2
Then, the melody data is divided into phrases by performing the section provisional division processing shown in FIG. Next, in step S3, the chord rhythm section extraction processing of FIG. 9 is performed to divide each phrase into chord rhythm sections. In step S4, the harmony sound extraction processing of FIG. 10 is performed, and in step S5, the harmony sound re-extraction of FIG. Processing is performed to extract a harmony, and in step S6, the chord rhythm combining process of FIG. 14 is performed to determine a chord rhythm section as a detection section for key detection. Then, step S7
The key is determined by performing the key detection processing of FIG. In step S8, a code is determined by performing the code detection process shown in FIG.

In the data input process shown in FIG.
In step 1, a melody is input based on a performance operation from the keyboard 6, and the melody data is stored in the data memory 9. Next, in step S12, manual input processing of time signature data such as quarter time signature and three quarter time signature is performed by the operator 4, and in step S13, there is no manual designation input of the chord rhythm section by the operator 4. In such a case, the chord rhythm is automatically set in the automatic setting mode. If there is a manual designation input, the break of the designated chord rhythm section is stored.

In the section temporary division processing of FIG.
In step 1, when a note equal to or longer than a half note (a note having a note length longer than the note length of a half note) is located immediately before a measure line, the position of the measure line is determined as a phrase division position. When the phrase has four or more measures, the melody data is re-divided into phrases with the position of the bar line every four measures from the beginning as the phrase division position. At this time, as in the case of FIG. 3B, the division position is stored by inserting the division data of the phrase different from the chord rhythm into the melody data.

Here, in the chord rhythm extraction process of FIG. 9 described later, each of the stored phrases is further provisionally divided into chord rhythm sections of one bar or two beats according to the melody pattern. Are switched according to the note density in the phrase. For this purpose, a flag DV corresponding to each phrase is used.
(FN) (FN is a phrase number) and the flag DV (FN) is used when the note density of the phrase is low as in the following processing.
N) is set to “1” and the flag DV (F
N) is stored as “2”.

First, at step S22, it is determined whether or not the currently set time signature is 3/4 time.
If it is time signature, in step S23 all flags DV (all) corresponding to all phrases are set to "1" and the routine returns to the original routine. If it is not 3/4 time signature, the read pointer (step S24) A read pointer in the data memory 9 (the same applies hereinafter) is set, and attention is paid to the first phrase, and the flow advances to step S25.

In step S25, it is determined whether or not the ratio of the total of note lengths of eighth notes or more of the notes in the phrase to the length of the phrase is 0.6 or more. For example, the flag DV (FN) is set to "1", otherwise the flag DV (FN) is set to "2". Then, in step S26, it is determined whether or not the current phrase is the last phrase. If not, the read pointer is updated to the next phrase in step S27, and step S2 is executed.
The process proceeds to step 5, and if it is the last phrase, the process returns to the original routine.

According to the above processing, when the ratio of the total length of the eighth note or more to the length of the phrase is 0.6 or more in the case of 3/4 time and other than 3/4 time, the phrase If the ratio of the total note length of 8th note or more to the phrase length is less than 0.6 except for 3/4 time, it is considered that there are many notes with long note lengths (note density is low). It is considered that there are many notes with short note lengths (note density is high), and the melody pattern is inspected by switching the inspection conditions according to the note density in the chord rhythm extraction processing of FIG.

In FIG. 9, first, in step S31, a read pointer is set, and attention is paid to the first bar. In step S32, it is determined whether DV (FN) = 1.
If DV (FN) = 1 (note density is low), it is determined in step S33 whether or not the number of notes included in the current bar is two or less. If it is two or less, step S37 is performed.
To divide the data into one bar chord rhythm section. If it is not two or less in step S33, a trill pattern is searched in step S34 to check whether the trill pattern extends over one bar. Note that the trill pattern is a pattern in which a musical note of a pitch a and a pitch b (the pitch difference between a and b is within one tone) is repeated twice or more as abab.

If it is determined in step S35 that the pattern is a one-measure trill pattern, it is divided into one-measure chord rhythm sections in step S37. If not, the procedure proceeds to step S36. In step S36, it is determined whether or not all the notes in one measure are quarter notes. If all the notes are quarter notes, it is divided in step S37 into one measure chord rhythm section. In step S305, the divided data is inserted into the bar to divide the chord rhythm into two chord rhythm sections, and the process proceeds to step S306.

On the other hand, in step S32, DV (FN) = 1
If not (note density is high), at step S38 FIG.
Is searched in the current bar, and it is determined in step S39 whether or not this special pattern is present. This special pattern is a two-beat sounding timing pattern that appears from the first beat to the second beat or from the third beat to the fourth beat, and a pattern that extends over two beats and three beats is ignored. This special pattern is 1
They are united. In addition, it checks both the original melody pattern of the melody data that has been input first and the tone generation timing pattern resulting from combining continuous sounds of the same pitch as one sound. Fig. 4 (A)
In the case of (1), there is a condition that the vehicle travels sequentially and travels in the same direction. Note that the progressive progress means that the pitch difference between adjacent notes progresses upward or downward by two degrees (whole tone or semitone), and the same direction is a case where the pitch rises or falls. . 4 (B) and 4 (c) are unconditional.

If this special pattern is present, it is a unitary pattern having a length of two beats, so that it is divided into chord rhythm sections of two beats at step S305, and if there is no special pattern, it is not decided at every two beats yet but at step S301. Search for a 4-beat long trill pattern. Then, step S30
If there is a 4-beat long trill pattern in the determination of step 2, step S
At 37, it is divided into one bar chord rhythm section, and if there is no 4-beat long trill pattern, it is determined at step S303 whether or not all of them have the same tone name. If all the notes have the same note name, it is divided into one bar chord rhythm section in step S37, and if at least one is an odd note name, it is determined in step S304 whether or not there is a note having a note length equal to or shorter than an eighth note. And 8
If there is no note below the 1/8 note, it is divided into 1 bar chord rhythm sections in step S37, and if there is a note below 8th note, it is divided into 2 beat chord rhythm sections in step S305.

When the processing for one bar is completed, it is determined in step S306 whether or not the current bar of interest is the last bar. If the bar is not the last bar, the read pointer is set to the next bar in step S307. After updating to a bar, the process proceeds to step S32, and if it is the last bar, the process returns to the original routine.

According to the above processing, if the trill pattern extends over one bar, if all the notes in one bar are quarter notes, if there is a trill pattern with a length of 4 beats in one bar, then all bars have the same note name. If there is no change in key (or chord change) within one bar, for example, the barcode is divided into one bar chord rhythm section. Also, when there is a possibility that the key changes within one bar, such as when there is a set of special patterns with two beat lengths, when there is no long trill pattern, or when note names are dispersed, a two beat length chord rhythm is used. It is divided into sections. In this way, each phrase is provisionally divided into chord rhythm sections of one measure or two beats according to the melody pattern and note length. In the above-mentioned division into chord rhythm sections, if a note of the original melody pattern extends over two chord rhythm sections, the note length of the note (the last note of the previous chord rhythm section) is cut at the division position. And
Tie information (see FIG. 3B) indicating the remaining note length cut before the first note in the chord rhythm section is added.

Next, the harmony sound of the chord rhythm section is extracted from the beginning of the melody by the harmony sound extraction processing of FIG. 10 (and the harmony sound extraction rule processing of FIG. 11 and the prefetch sound processing of FIG. 12). For the chord rhythm section where the chord rhythm cannot be obtained, the harmony is re-extracted sequentially from the back of the melody by the harmony re-extraction processing of FIG. Therefore, a detection flag indicating whether or not a chord sound has been detected corresponding to each chord rhythm section is used, a non-detection state of the chord sound is stored as a detection flag “0”, and a detection state of the chord sound is detected. Store as "1".

In the harmony sound extraction processing of FIG.
At 41, a read pointer is set to pay attention to the first chord rhythm section. At step S42, a detection flag of the target chord rhythm section is set to "0" (not detected) in advance, and the routine proceeds to step S43. In step S43, if the beginning of the chord rhythm section of interest is a rest, there is a note in the immediately preceding chord rhythm section, and the note is not a harmony,
This rest is absorbed by the immediately preceding note. That is, the rest data is deleted, and the note length of the rest is added to the note length of the immediately preceding note to make the note length data.

Next, in step S44, a melody in which the notes of pitch a and pitch b are arranged in aba in the focused chord rhythm section, that is, a pattern including an embroidery sound is detected (between ab and between ba). Even if there is a rest, this rest is ignored.) In step S45, it is determined whether or not the embroidery sound pattern is detected. If an embroidery sound pattern has been detected, the note at pitch a is set as a harmony tone at step S46, and the note at pitch b is set as embroidery tone at step S47. If there is a third sound, if there is no third sound, there is a sixth sound, and if there is no fourth sound, a search is made with a priority level, and the sound detected at this priority level is set as a harmony sound. Then, in step S48, other notes are set as other non-harmonic sounds, and in step S49, the detection flag of the focused chord rhythm section is set to "1", and step S402 is performed.
Proceed to.

As described above, while the harmony sound is detected by focusing on the embroidery sound pattern, if the embroidery sound pattern is not detected in step S45, the harmony sound extraction rule process shown in FIG. A harmony is extracted according to a rule other than the above, and the process proceeds to step S402. When the process for one chord rhythm section is completed, it is determined in step S402 whether or not the current focused chord rhythm section is the last chord rhythm section. If not, the readout is performed in step S403. The pointer is updated to the next chord rhythm section and step S
Proceeding to step 42, if it is the last chord rhythm section, the program returns to the original routine.

In the harmony sound extraction rule process of FIG. 11, it is determined in step S410 whether or not the chord rhythm section of interest is only a rest, and if there is only a rest, the process returns to the original routine. If not, it is determined in step S411 whether or not the pitch name is one type. If there is only one kind of note name, all notes are set as harmony in step S412, and the process proceeds to step S418.

On the other hand, if the sound name is not one in step S411, the prefetch sound processing of FIG. 12 is performed in step S413. Here, the prefetching sound processing in FIG. 12 is processing for a note called anticipation in which, for example, when the chord changes, the constituent sounds of the subsequent chord precede the last beat of the previous chord. First, in step S420, it is determined whether or not a condition that "the beginning of the next chord rhythm section is a note and has a note length of a quarter note or more" is satisfied. If the condition is not satisfied, the process returns to the original routine. When the condition is satisfied, if the last note of the current focused chord rhythm section is a note, the note is returned to the original routine as the first note of the next chord rhythm section in step S421. Thereby, the notes of the anticipation are arranged in the same chord rhythm section.

When this prefetching sound processing is completed, in FIG. 11, it is determined in step S414 whether or not the number of notes in the chord rhythm section of interest is three.
At 415, the two sounds having the largest pitch difference among the three sounds are set as the harmony sounds, and the process proceeds to step S418. If it is not three notes, it is determined in step S416 whether or not there is a note having a note length equal to or more than half the length of the chord rhythm section (hereinafter, note i). If there is no note i, the routine returns to the original routine. If there is a note i, in step S417, the note i is set as a harmony, and if there is another chord constituent sound having the note i as a chord constituent sound, these are set. And proceeds to step S418. Then, in step S418, other notes are set as other non-harmonic sounds, and in step S419, the detection flag of the noticed chord rhythm section is set to "1", and the process returns to the original routine.

As described above, by the harmony extraction processing of FIG. 10, the harmony extraction rule processing of FIG. 11, and the prefetching processing of FIG. 12, the harmony of the chord rhythm section is extracted from the beginning of the melody, and the harmony is extracted. The detected flag becomes "1" in the chord rhythm section where the chord rhythm sound has not been extracted, and the detection flag becomes "0" in the chord rhythm section where the chord tone has not been extracted. Therefore,
The melody is extracted from the end of the melody by the harmony re-extraction process of FIG. 13 and the harmony is re-extracted for the chord rhythm section where the detection flag is “0”.

First, in step S51, a read pointer is set and attention is paid to the last chord rhythm section. In step S52, it is determined whether or not the detection flag of the noticed chord rhythm section = 0. If the detection flag is not 0, a harmony has already been detected, so the process proceeds to step S501.
If the detection flag is 0, no harmony is detected, and the harmony is detected in step S54 and thereafter.

In step S54, the condition that the chord rhythm section of interest satisfies the condition that "two tones, the first sound of the succeeding chord rhythm section is a harmony, and these three sounds proceed in the same direction sequentially". It is determined whether or not the condition is satisfied. If the condition is satisfied, the leading sound of the three sounds is set as a harmony in step S55, and the process proceeds to step S59.

On the other hand, if the condition is not satisfied in step S54, in step S56, the target chord rhythm section is set to "2".
And the following chord rhythm section is one sound ", and if the condition is satisfied, the flow advances to step S59 assuming that the second note is a harmony in step S57. If the condition is not satisfied, in step S58, the pitch difference between any two tones in the chord rhythm section of interest is 3 degrees, if it is not, it is 6 degrees, and if it is not, it is increased.
The priority level is used to determine whether or not there is a degree, and two tones having a pitch difference detected at the priority level are defined as harmony sounds. When there are two or more sets having the same frequency of the highest priority level among the sets having these pitch differences, the bass side is prioritized. Then, step S5
At 9, other notes are made other non-harmonic sounds.

As described above, when the detection of the harmony for one chord rhythm section is completed, it is determined in step S501 whether or not the currently focused chord rhythm section is the first chord rhythm section. If it is not a chord rhythm section, the read pointer is updated to the immediately preceding chord rhythm section in step S53, and the process proceeds to step S52. If it is the first chord rhythm section, the process returns to the original routine.

By the above processing, a chord sound in a chord rhythm section obtained by temporarily dividing a phrase into one bar or two beats is extracted. Next, since the temporary division into the chord rhythm section may be unnecessarily divided for key detection, the chord rhythm section shown in FIG. The combining process is performed based on the harmony to be performed.

In the chord rhythm combining process shown in FIG. 14, a read pointer is set in step S61 to focus on the first measure, and in step S62, it is determined whether or not the measure of interest is divided into chord rhythm sections every two beats. I do. If it is not divided into chord rhythm sections for every two beats, step S
At step 64, one measure is set as the detection section for the measure of interest, and the flow advances to step S66.

On the other hand, if the bar of interest is divided into chord rhythm sections for every two beats, then at step S63, "the chord of the constituent sound that matches all the harmony sounds of the bar of interest exists and has been set. It is determined whether or not the condition that the tempo is a quarter note> 46 (tempo exceeding 46 beats per minute when one quarter note is one beat) is satisfied. If the condition is satisfied, one bar is set as a detection section for the bar of interest in step S64. If the condition is not satisfied, every two beats is set as a detection section for the bar of interest in step S65. When the processing for one measure is completed, it is determined in step S66 whether or not the measure of interest is the last measure.
In step 67, the read pointer is updated to the next measure, and step S
Proceeding to step 62, if it is the last bar, the process returns to the original routine.

In the above-mentioned chord rhythm combining process, when a bar is provisionally divided into chord rhythm sections every two beats, and there is a chord of a constituent sound that matches all the harmony tones in that bar. Further, when the tempo is relatively fast, it is considered that there is a high possibility that the key does not change in the bar, and the chord rhythm section for every two beats is combined into one bar to be a detection section. I have.

As described above, when the melody data is divided into one bar or two beats and the detection section is determined, the key detection is performed by the key detection processing of FIG. First, in step S71, a read pointer is set and attention is paid to the first detection section, and in step S72, it is determined whether or not the key of the immediately preceding detection section is determined. If the key of the immediately preceding detection section is not determined (including the case where the attention detection section is the first detection section and the immediately preceding detection section does not exist), the candidate key extraction processing of FIG. A candidate tone for the section is extracted, and the process proceeds to step S77.

On the other hand, if the key of the immediately preceding detection section is determined in step S72, it is determined in step S73 whether there is an out-of-key sound (a sound not in the key scale) for the determined key in the target detection section. And if there is an out-of-control sound, step S
In step S74, if there is no out-of-range sound, the key of the target detection section is determined to be the key of the immediately preceding detection section.
Proceed to 705.

Here, the candidate tone extraction processing of FIG. 16 will be described first. First, in step S81, note names of notes in the target detection section are picked up and sorted, and in step S82,
In the scale note sequence table of Table 1 described above, a search is made for a scale note string that includes three or more note names in the sorted note name string, and step S8 is performed.
In step 3, if there is a matched scale note sequence, a search is made for a key of a scale including each matched scale note string and the harmony of the attention detection section, and the detected tones (a plurality of tones if there are a plurality of notes) are noticed. It is stored as a candidate tone of the section. Then, step S84
Then, the process returns to the original routine except for the candidate key that has the fifth and seventh minor tones in the target detection section from the stored candidate keys. When the candidate tones are extracted as described above, the keys are determined if the predetermined conditions are satisfied in step S77 and subsequent steps in FIG.

First, in step S77, condition (A) “candidate key of major key (maj) having first and seventh tones of the key scale from the detection section where the key is not determined to the detection section of interest”. In step S78, the condition (B) “the minor, fifth, and seventh tones of the key scales from the detection section where the key is not determined to the target detection section” A candidate tone is picked up, and in step S79, condition (C)
"From the detection section where the key is not determined to the detection section of interest, there is a minor (minor, 6th and 7th) of the key scale.
or) candidate tones.

Next, conditions (A) to (C) are set in step S701.
It is determined whether or not there is a candidate key picked up in step S702. If there is no candidate key, it is determined in step S702 whether or not the target detection section is the last detection section. If it is the last detection section, in step S703, the range from the detection section in which the key is not determined to the target detection section is determined to be the key determined immediately before, and the process returns to the original routine. The process proceeds to step S75 without determining the key.

On the other hand, if there is a candidate key picked up under the conditions (A) to (C), in step S704, the candidate key is most frequently selected from the detection section where the key is not determined to the target detection section. The key is determined and stored as a key from the undetermined detection section to the target detection section, and the process proceeds to step S705. When there are a plurality of keys that are listed most frequently, they are determined based on the condition that the same key as that of the previous detection section (the detection section that was finally determined) and the close relative key have priority. If the previous key has not been determined, (A) (B) (C)
To the key picked up at the priority level of.

When the processing for one detection section is completed, it is determined in step S705 whether or not the target detection section is the last detection section. If not, the read pointer is set to the next in step S75. And the process proceeds to step S72. If it is the last detection period, the process returns to the original routine.

As described above, the melody is divided into two beats or one bar detection section according to the harmony and the melody pattern, and the candidate tone is extracted for each detection section by the harmony and the note name string. The key is determined for each detection section based on the key. In steps S77 to S79, S703, and S704 in FIG. 15, “from a detection section in which the key is not determined to the target detection section” means that when the key is determined until the immediately preceding detection section, the target detection is performed. If it indicates only the section and at least the key can be determined, the key is determined for each detection section.

In the code detection process shown in FIG.
In step 91, processing is performed in the case where there is a portion where four or more detection sections are continuous in units of one bar (including the case where all are in units of one bar). That is, four codes of four code progression (synchronization) in the code progression data correspond to four detection sections,
When the harmony of each detection section is included in the constituent sound of the corresponding chord, and when one of the detection sections is the beginning or end of a phrase, it is a chord suitable for the beginning or end of the phrase. The code of the section is determined to each of the four codes of the four code progress (synchronous).
At this time, whether to use the DB for the major key or the DB for the minor key is determined by the key (major or minor) obtained as described above, and is expressed in degrees by considering the tonic of the key. Chords can be converted to real chords. If there are a plurality of such 4-chord progressions (synchronization), they are determined according to the priority level. Also, a chord group suitable for the beginning or end of the phrase is stored in the program memory 2 in advance, and it is determined whether or not the phrase is suitable by comparing them. Here, assuming that four codes progressing (synchronous) in four certain detection sections correspond to the four detection sections, the next four new detection sections correspond to the new four sections.
Similar processing is performed for one detection section. On the other hand, when the correspondence between the four codes and the four detection sections cannot be obtained,
The same processing is performed in the four detection sections even after the four detection sections are shifted backward by one, and the last three sections + the new one section. By repeatedly executing such a process, the case where the four-code progress (synchronous) code is applied to all the detection sections is determined.

Next, in step S92, processing is performed for a detection section in which the code could not be determined in step S91. That is, for a detection section in which a code has not been determined (a detection section which has not been processed in step S91), four chord progressions (asynchronous) in the chord progression data are performed.
Are associated with the four detection intervals, and the harmony of each detection interval is included in the constituent sound of the corresponding code, and if one of the detection intervals is the beginning or end of a phrase, the beginning or end of the phrase When the code is the last suitable code, the codes in the four detection sections are respectively determined as the four codes in the four code progression (asynchronous). When there are a plurality of such 4-chord progressions (asynchronous), they are determined according to the priority level. Here, asynchronous means that four code progressions do not always correspond to four detection intervals. That is, one code may extend over a plurality of detection sections. For example, assume that there is an asynchronous code progression of C → Am → Dm7 → G7. This chord progression may correspond to eight detection sections and may be assigned as C → C → C → C → Am → Am → Dm7 → G7. Therefore, the aforementioned step S9
When associating asynchronous code progression with four or more consecutive detection sections that could not be determined in step 1, it is first determined whether or not there is a code progression corresponding to the first four sections. It is decided to proceed, and if not, the section is increased by one to five sections. Then, these five sections are arbitrarily grouped into four sections, and it is determined whether or not the four sections thus grouped match the chord progression. Thereafter, every time it is determined that there is no matching chord progression, the same processing is performed by increasing the section by one. If no matching chord progression is found even after reaching the end of the continuous section, the section is shifted backward by one and the same processing is performed.
This is repeated until the last four sections of the continuous section are reached. If no matching chord progression is found, the process proceeds to the next step S93.

Next, in step S93, processing is performed on a part where at least three detection sections are continuous in a part where the code has not been determined. That is, three chords in three chord progressions in the chord progression data and three detection sections are made to correspond to the detection section in which the chord is not determined, and the harmony of each detection section corresponds to the constituent sound of the corresponding chord. When included, the codes of these three detection sections are determined to be three codes of three code progresses, respectively. When there are a plurality of such three chord progressions, they are determined according to the priority level. In the case of three chord progression, similarly to the case of four chord progression (synchronization), if the correspondence with the detection section cannot be obtained, the processing is repeated while shifting the detection section by one backward.

Next, in step S94, processing is performed on a portion where at least two detection sections are continuous in the portion where the code has not been determined. That is, two chords of two chord progressions in the chord progression data and two detection sections are made to correspond to the detection section in which the chord is not determined, and the harmony of each detection section corresponds to the constituent sound of the corresponding chord. When included, the codes of these two detection sections are determined as the two codes of the two-code progress. When there are a plurality of such two chord progressions, they are determined according to the priority level. The processing procedure for the two chord progression is the same as that for the four chord progression (synchronization).

Next, at step S95, 4 chord progression, 3 chord progression
The processing of the chord not determined in the chord progression and the chord progression is performed. That is, for each detection section for which a chord has not been determined, the harmony of each detection section includes,
The code with the highest priority level is determined. By this processing, there is no code undecided section, and the code decision for all sections is completed.

In the above-described code determination, for example, codes competing with the melody as shown in the following Table 2 are excluded. The table shows the case where the root is "C", but the other roots have the same pitch relationship with the chord competing with the melody as in the table.

[0071]

[Table 2]

In this embodiment, the chord suitable for the beginning or end of the phrase is checked. However, the chord suitable for the beginning or end of the song may be checked. Further, the chord progression data may be a different database depending on the rhythm type, song style, tempo, time signature, and the like.

As described above, the harmony tone and the tone sequence of the melody data are extracted, and the tone is detected from the scale containing the harmony tone and the tone sequence, so that the tone detection faithful to the melody can be performed. it can. In addition, the melody data is divided into two beats or one bar detection section shorter than the phrase according to the harmony and melody pattern, and at least the detectable detection section detects the key for each detection section, so that accurate key detection is performed. It can be performed.

In the embodiment, the chord rhythm section is set to 2
Although it is divided into beats or one bar, the length of this division may be switched according to the tempo.

Further, in the embodiment, the melody data is divided into phrases by the provisional section division processing and is divided into detection sections of one bar or two beats by the chord rhythm section extraction processing. (Each bar, one beat, etc.) may be used.

Further, in the embodiment, the performance data is inputted from the keyboard, but the performance data or the melody data may be supplied from the outside by, for example, MIDI data. At this time, communication interfaces such as MIDI and various networks, FD and CD-RO
The melody data can be supplied from a storage medium such as M. In the embodiment of the present invention, the control program is stored in the program memory. However, the program is stored in an external storage medium, and the
U may be loaded on a device having U and used.

[0077]

As described above, according to the first aspect of the present invention,
6. A performance data analyzer according to claim 5 or a performance data analyzer according to claim 5.
According to the method, the input performance data is converted into one chord.
Is divided into predetermined sections of variable length corresponding to the section occupied by
Detect the key of the performance data of each divided section
Therefore, at the time of key detection, one code
By occupying a variable length section, one code occupies
Songs that vary in length (most songs have one
Even if the length occupied by the key changes)
can do. The performance data according to claim 2 of the present invention.
And a performance data analysis method according to claim 6.
For example, in a plurality of tones, the key name that characterizes each key
Is stored in the note name string storage means.
Performance data corresponding to the section occupied by one chord
Divided into predetermined sections of variable length, and the performance of the divided sections
Multiple note names included in data at least partially included
The note name string to be extracted from the note name string storage
Extract the harmony contained in the
Since the key is detected based on the extracted harmony,
When a key is detected, one code occupies an analysis unit.
The length occupied by one code by using a variable length section
Even if the song changes, the more accurate key is detected.
Can be The performance data according to claim 3 of the present invention.
An analysis device or a performance data analysis method according to claim 7.
For example, in a plurality of tones, the key name that characterizes each key
Is stored in the note name string storage means.
Performance data corresponding to the section occupied by one chord
Divided into predetermined sections of variable length, and
Data contains at least some of the pitch names
Extracted from the note name string storage means,
To detect the key of each section based on the note name string
Therefore, at the time of key detection, the analysis unit is one code
Occupies a variable length section, so that one code
Even for songs that occupy varying lengths, more accurate
The key can be detected. Further, according to claim 4 of the present invention.
Playing performance data analyzer or claim 8 Data content 析方
According to the method, the input performance data is converted into one chord.
It is divided into predetermined sections of variable length corresponding to the
The embroidery sound pattern is detected from the performance data of the divided section.
Out, and sum up some of the detected embroidery sound patterns.
Determined to be the voice sound and the rest of the embroidery sound pattern
Is determined as a non-harmonic sound as an embroidery sound,
Performance data that has a predetermined pitch relationship with the
The embroidery sound pattern is determined when the embroidery sound pattern is detected.
Variable length section where one code occupies an analysis unit
So that the length occupied by one code changes
Detecting embroidery sound patterns accurately
To accurately determine non-harmonic and harmony sounds.
Can be. Further, according to the performance data analysis device of the ninth aspect of the present invention or the performance data analysis method of the thirteenth aspect ,
Dividing the inputted performance data to a predetermined interval, the divided small nodal lines with the performance data of each section, the number of notes, note name number, since to extract the sounding timing pattern thus harmony sound The harmony can be extracted faithfully to the melody while using simple rules to easily extract the harmony. A performance data analyzer according to claim 10 of the present invention.
Or according to the performance data analysis method according to claim 14, the input performance data, sounds marks number, note length, divided into sounding timing <br/> patterns depending on the section, the performance for the divided sections Since the key and / or chord of the data is detected, accurate key detection and chord detection can be performed from the melody information of the performance data. In addition,
According to the performance data analyzer of claim 11, the performance data
Data of variable length corresponding to the section occupied by one code.
Performance data of each section divided into predetermined sections
Is extracted, so when extracting the harmony
Variable length section where one code occupies an analysis unit.
By changing the length, the length occupied by one code changes
Harmonic sounds can be accurately extracted even for songs
You. Further, the performance data analyzer of claim 12 of the present invention
According to this, performance data is assigned to a section occupied by one chord.
Divided into predetermined sections of corresponding variable length, and
Since the chord of the performance data between
One code occupies the analysis unit when detecting code
That, by the variable length section occupied by one code
More accurate chords for songs that vary in length
Can be detected.

[Brief description of the drawings]

FIG. 1 is a conceptual diagram illustrating a flow of a melody analysis according to an embodiment of the present invention.

FIG. 2 is a block diagram of an electronic musical instrument to which the performance data analyzer of the embodiment is applied.

FIG. 3 is a diagram showing each format of melody data and section analysis data in the embodiment.

FIG. 4 is a diagram showing a special pattern having two beats in the embodiment.

FIG. 5 is a diagram showing an example of chord progression data in the embodiment.

FIG. 6 is a flowchart of a melody analysis process in the embodiment.

FIG. 7 is a flowchart of a data input process in the embodiment.

FIG. 8 is a flowchart of a section temporary division process in the embodiment.

FIG. 9 is a flowchart of chord rhythm section extraction processing in the embodiment.

FIG. 10 is a flowchart of a harmony sound extraction process in the embodiment.

FIG. 11 is a flowchart of a harmony extraction rule process in the embodiment.

FIG. 12 is a flowchart of a prefetch sound process in the embodiment.

FIG. 13 is a flowchart of a harmony sound re-extraction process in the embodiment.

FIG. 14 is a flowchart of a chord rhythm combining process in the embodiment.

FIG. 15 is a flowchart of a key detection process in the embodiment.

FIG. 16 is a flowchart of a code detection process in the embodiment.

FIG. 17 is a flowchart of pitch conversion processing for a base pattern in the embodiment.

[Explanation of symbols]

DESCRIPTION OF SYMBOLS 1 ... CPU, 2 ... program memory, 3 ... working memory, 4 ... operator, 6 ... keyboard, 9 ... data memory, 10
... Code sequence DB.

Continuation of the front page (56) References JP-A-5-273976 (JP, A) JP-A-6-124088 (JP, A) JP-A-58-87593 (JP, A) JP-A-6-124087 (JP) JP-A-6-124089 (JP, A) JP-A-58-114097 (JP, A) JP-A-63-316096 (JP, A) JP-A-1-255880 (JP, A) 1-2555881 (JP, A) JP-A-1-296287 (JP, A) JP-A-1-89934 (JP, U) (58) Fields investigated (Int. Cl. ⁷ , DB name) G10H 1/36 G10H 1/00 102

Claims (14)

(57) [Claims] 1. A and performance data input means for inputting performance data indicating a note sequence, the performance data inputted by said performance data input means
With a variable length corresponding to the section occupied by one code
A section dividing means for dividing the interval, the performance data of each section divided by the section dividing means
Performance data analysis apparatus characterized by comprising: a synchronization failure detector for detecting a tone data. 2. Performance data input means for inputting performance data indicating a sequence of musical notes, and performance data input by said performance data input means.
With a variable length corresponding to the section occupied by one code
Section dividing means, a plurality of tones, a note name string storing means storing a note name string comprising a main note name characterizing each key, and a performance of the section divided by the section dividing means. A plurality of note names included in the data, a note name string at least partially included in the note name string extracting means for extracting the note name string from the note name string storing means, and a plurality of note names included in the performance data input by the performance data input means. Harmony sound extraction means for extracting a harmony sound to be extracted, a sound name string extracted by the sound name string extraction means ,
A performance data analysis device, comprising: a key detection means for detecting a key based on a harmony extracted by a harmony extraction means . 3. Performance data input means for inputting performance data indicating a sequence of musical notes; and performance data input by said performance data input means being converted into a predetermined section of variable length corresponding to a section occupied by one chord. Section dividing means for dividing, in each of a plurality of tones, a note name string storing means for storing a note name string comprising a main note name characterizing each key; and a performance data of the section divided by the section dividing means. A plurality of note names, a note name string at least partially included, a note name string extracting means for extracting from the note name string storing means, and a note name string extracted by the note name string extracting means. And a key detecting means for detecting a key for each section. 4. Performance data input means for inputting performance data indicating a sequence of musical notes, and performance data input by said performance data input means.
With a variable length corresponding to the section occupied by one code
Section dividing means, an embroidery sound detecting means for detecting an embroidery sound pattern from the performance data of the section divided by the section dividing means, and a part of the detected embroidery sound pattern. The sound is determined to be a harmony, the remaining part of the embroidery sound pattern is determined to be a non-harmonic as an embroidery sound, and the performance data having a predetermined pitch relationship with the determined harmony is determined to be a harmony. A performance data analyzer, comprising: a harmony sound determining means. 5. receives performance data showing the sequence of sound marks, the performance data is the input, occupied by one code districts
Dividing the musical data into predetermined sections of variable length corresponding to the interval, and detecting the key of the performance data in each of the divided sections . 6. A plurality of the tone, a sound name string consisting of the main pitch name characterizing each tone may be stored in the tone name string storage means, receives performance data indicating a sequence of notes, is the input Of the performance data occupied by one chord
A plurality of note names included in the performance data of the section divided by the section dividing means are divided into predetermined sections of variable length corresponding to the interval, and a note name string at least partially included in the note name string extracted from the storage means, performance data analysis method of extracting a harmonic sound included in the performance data is the input, detecting the tone on the basis of said extracted pitch name column and harmony sound, characterized by. 7. In a plurality of tones, a note name string comprising a main note name characterizing each key is stored in a note name string storage means, and performance data indicating a sequence of notes is input. Of the performance data occupied by one chord
Variable length is divided into predetermined intervals corresponding to between, a plurality of pitch names included in the performance data of the divided sections, a sound name column that contains at least a portion, extracted from the pitch name string storage means Detecting a key of each section based on the extracted note name sequence. 8. Performance data indicating a sequence of musical notes is input, and the input performance data is divided into sections occupied by one chord.
The embroidery sound pattern is detected from the performance data of the divided section, and a part of the detected embroidery sound pattern is converted into a harmony sound. And determining the remaining part of the embroidery sound pattern as a non-harmonic sound as the embroidery sound, and determining the performance data having a predetermined pitch relationship with the determined harmony sound as a harmony sound. Performance data analysis method. 9. Performance data input means for inputting performance data indicating a sequence of musical notes, interval division means for dividing performance data input by the performance data input means into predetermined sections, division by the interval division means been small nodal lines with the performance data of each section, the number of notes, note name number, play, characterized in that it comprises a harmonic sound extracting means for extracting the sound generation timing path <br/> coater emission Therefore harmonic sounds, the Data analyzer. 10. Performance data input means for inputting performance data indicating a sequence of musical notes, and performance data input by said performance data input means.
Sound marks number, note length, and section dividing means for dividing the result into the interval sounding timing pattern, a detector for detecting a tone and / or code of the performance data of each section divided by the section dividing means, A performance data analyzer, comprising: 11. Performance data indicating a note sequence
Performance data input means for inputting, and performance data input by the performance data input means
With a variable length corresponding to the section occupied by one code
A section dividing means for dividing the interval, the performance data of each section divided by the section dividing means
And a harmony sound extracting means for extracting a harmony sound of the performance data. 12. Performance data indicating a sequence of musical notes.
Performance data input means for inputting, and performance data input by the performance data input means
With a variable length corresponding to the section occupied by one code
A section dividing means for dividing the interval, the performance data of each section divided by the section dividing means
And a chord detecting means for detecting chords of the performance data. 13. Performance data indicating a sequence of musical notes.
Input, the performance data is the input is divided into a predetermined interval, the divided bar lines for performance data of each section, the sound
Harmony depending on the number of notes, number of note names, and sounding timing pattern
Performance data analysis method that is characterized in that to extract. 14. Performance data indicating a sequence of musical notes.
And input the performance data as the number of notes, note length,
The performance data of each of the divided sections is divided into sections according to the
A performance data analysis method , comprising detecting a chord .