KR100378796B1 - Digital audio encoder and decoding method - Google Patents

Abstract

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to a digital audio reproducing technique, which enables effective reproduction of high pitched digital audio. To this end, the present invention includes an FFT unit for converting an audio signal into a spectrum of a frequency domain; A psychoacoustic unit for obtaining a masking threshold value using the spectrum output from the FFT unit; An MDCT for selecting a frequency band sample having a long transform or a short transform according to a masking threshold of the psychoacoustic unit; A quantization unit configured to perform a quantization operation on the frequency band sample through internal and external iteration loops according to a masking threshold of the psychoacoustic unit; A linear predictive coefficient extracting unit which receives a spectrum output from the FFT and extracts a linear predictive coefficient from the spectrum; An additional information output unit for outputting additional information used in the quantization operation; A Huffman encoding unit for Huffman encoding and outputting the quantized signal in each subband; And a coding audio output unit configured to add an envelope using a linear prediction coefficient to the additional information and the Huffman coded signal, and output an MPEG audio frame.

Description

DIGITAL AUDIO ENCODER AND DECODING METHOD

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to digital audio reproduction technology, and more particularly, to a digital audio encoder and a decoding method capable of effectively reproducing digital audio.

Generally referred to as Moving Picture Experts Group (MPEG) audio, digital audio is the standard of the International Organization for Standardization (ISO / IEC) for high quality, high efficiency stereo encoding.

The MPEG audio is combined with MPEG video to realize high-efficiency multimedia information compression, and recently, digital TV (DTV), DVD (DVD), digital music broadcasting (DAB), MP-3 player, etc. Various application products are emerging.

MP3 audio is encoded in the manner of MPEG-1 audio layer 3 in a manner having a .mp3 extension which is widely used recently.

In addition, the compression principle of MPEG audio uses a "Perceptual Coding" method that reduces the amount of code by omitting detailed information with low sensitivity by using human sensory characteristics.

Here, the perceptual encoding is a method of using a minimum audible limit, which is the minimum level of sound that can be sensed by hearing, and a masking phenomenon in which other sounds are hard to be heard by a specific sound.

In this case, the minimum audible limit depends on the frequency of the sound (high and low), and the masking phenomenon depends on the frequency of the masking sound and the masked sound.

In particular, the frequency width at which the masking effect occurs is called a "critical band", and the perceptible signal-to-noise ratio (S / N) within this critical band is very low.

Therefore, in MPEG audio, the above properties are used to mix quantization noise generated by digitalization in a critical band so that the quantization noise is not heard.

Hereinafter, a description will be given of a digital audio reproduction technique with reference to the accompanying drawings.

Fig. 1 is a block diagram showing the configuration of a general digital audio coder, and a filter bank 1 for subdividing an audio signal into 32 subbands as shown therein; An MDCT (Modified Discrete Cosine Transform) unit (2) for dividing the subband into finer frequency bands; A fast fourier transform (FFT) unit (3) for converting the audio signal into a spectrum in a frequency domain; A psychoacoustic unit 4 for calculating a masking curve by using the frequency spectrum output from the FFT unit 3; A quantization unit 5 for receiving a DCT coefficient output from the MDCT unit 2 and a masking curve output from the psychoacoustic unit 4 and performing a quantization operation through an inner loop 5b and an outer loop 5a; ; An additional information output section 6 for outputting additional information used in the quantization operation; A Huffman encoding unit (7) for Huffman encoding and outputting the quantized signal in each subband; A coded audio output unit 8 for outputting MPEG audio frames by adding an error check bit or the like to the additional information and the Huffman coded signal will be described.

First, the filter bank 1 receives an audio signal, subdivides it into 32 subbands, and outputs it. The FFT unit 3 converts the audio signal into a spectrum of a frequency domain and outputs the same.

At this time, the psychoacoustic unit 4 obtains a masking curve which is a limit that can be detected while actually listening to the original sound from the curve of the original sound and the minimum audible limit, and the MDCT unit 2 outputs the subband output from the filter bank 1. Split into finer frequency bands.

Subsequently, the quantization unit 5 encodes the quantization noise to be equal to or less than the masking curve by adjusting the scale factor and the quantization step size for each subband, that is, for each frequency band.

That is, the scale factor is determined in accordance with the degree of quantization noise of each band, and the quantization step size of each subband is adjusted so that the quantization noise generated by quantization is smaller than the masking curve for each subband.

Here, the larger the quantization step size is, the higher the compression ratio is, but the quantization noise level is larger, and a smaller step size results in a smaller compression ratio instead of a smaller quantization noise level.

Therefore, the quantization step is reduced by reducing the quantization step in the part where hearing sensitivity is high and the masking is hardly affected, and the quantization step is increased in the part which is heavily influenced by the masking.

In particular, the quantizer 5 uses two iterative loops consisting of an outer loop 5a and an inner loop 5b to minimize quantization noise at a fixed bit rate.

Here, the outer loop 5a adjusts the noise level lower by increasing the scale factor for a band whose noise level obtained in the frequency domain is larger than the masking curve, and the inner loop 5b adjusts the bit rate of Huffman coded data. Since the rate) is not constant, if it is larger than the available bits, it serves to adjust by increasing the quantization step size.

At this time, if the quantization step size is increased, the noise is also increased, so the process of turning the outer loop 5a is repeated again until the value is satisfied.

After Huffman encoding the result obtained through the iterative process in the Huffman encoding unit 7, it is combined with the additional information of the additional information output unit 6 in the coding audio output unit 8 to obtain an MP3 bit stream.

However, the psycho-volume model used in the MP3 algorithm is obtained based on the average value of each individual's hearing ability, and does not provide a satisfactory reconstruction sound for everyone. Since the absolute audible limit has a value of about 60 dB or more, it is difficult to recover most audio signals, and sufficient reproduction is difficult even in a band of 10 to 15 kHz.

SUMMARY OF THE INVENTION The present invention has been made in view of the above problems, and an object thereof is to provide a digital audio encoder and a decoding method for improving the sound of reconstructed sound by encoding and reproducing digital audio high-pitched bits.

1 is a block diagram showing the configuration of a conventional digital audio encoder.

Fig. 2 is a block diagram showing the configuration of the digital audio encoder of the present invention.

3 is a flowchart of operation of the digital audio decoding method of the present invention.

4 shows Huffman coding frequency domain division;

***** Description of the symbols for the main parts of the drawings *****

1: filter bank 2: MDCT section

3: FFT section 4: psychoacoustic section

5: quantization unit 6: additional information output unit

7: Huffman encoding section 8: Coding audio output section

100: linear predictive coefficient extraction unit

The present invention for achieving the above object is an FFT unit for converting an audio signal into the spectrum of the frequency domain; A psychoacoustic unit for obtaining a masking threshold value using the spectrum output from the FFT unit; An MDCT for selecting a frequency band sample having a long transform or a short transform according to a masking threshold of the psychoacoustic unit; A quantization unit configured to perform a quantization operation on the frequency band sample through internal and external iteration loops according to a masking threshold of the psychoacoustic unit; A linear predictive coefficient extracting unit which receives a spectrum output from the FFT and extracts a linear predictive coefficient from the spectrum; An additional information output unit for outputting additional information used in the quantization operation; A Huffman encoding unit for Huffman encoding and outputting the quantized signal in each subband; And a coded audio output unit configured to add an envelope using a linear prediction coefficient to the additional information and the Huffman coded signal, and output an MPEG audio frame.

The present invention for achieving the above object comprises a first step of decoding the header information and the additional information when the MP3 bitstream is input; A second process of restoring an audio signal of a high frequency band if the linear predictive coefficient exists in the MP3 bit stream; A third process of decoding the scale factor and Huffman data and then inversely quantizing the decoded data; A fourth step of integrating the divided frequency band into subbands and then passing the integrated subbands through a synthesis filter to obtain an MP3 reconstruction sound; The MP3 reconstruction sound may be added to the high frequency band audio signal to obtain a reconstruction signal reproduced with high sound.

Hereinafter, operations and effects of the digital audio encoder and the decoding method according to the present invention will be described in detail with reference to the accompanying drawings.

Fig. 2 is a block diagram showing the configuration of the digital audio encoder of the present invention, and a filter bank 1 for subdividing an audio signal into 32 subbands as shown therein; An FFT unit 3 for converting an audio signal into a spectrum in a frequency domain; A psychoacoustic unit (4) for obtaining a masking threshold value using the spectrum output from the FFT unit (3); An MDCT unit (2) for selecting a frequency band sample having a long transform or a short transform in accordance with a masking threshold value of the psychoacoustic unit 4; A quantization unit (5) for performing a quantization operation on the frequency band sample through an inner loop (5b) and an outer loop (5a) according to a masking threshold of the psychoacoustic unit (4); A linear predictive coefficient extracting unit (100) for receiving a spectrum output from the FFT unit (3) and extracting a linear predictive coefficient from the spectrum; An additional information output section 6 for outputting additional information used in the quantization operation; A Huffman encoding unit 7 for Huffman encoding and outputting the quantized signal in each subband; A coding audio output unit 8 is configured to output an MPEG audio frame by adding an envelope using a linear prediction coefficient to the additional information and the Huffman coded signal.

FIG. 3 is a flowchart illustrating a digital audio decoding method of the present invention. As shown in FIG. 3, first steps S1 and S2 of decoding an header information and additional information when an MP3 bitstream is input; A second process (S9 to S11) of restoring an audio signal of a high frequency band if the linear predictive coefficient is present in the MP3 bit stream; A third process (S3 to S5) of decoding the scale factor and Huffman data and then inversely quantizing the decoded data; A fourth step (S6, S7) of integrating the divided frequency band into subbands and then passing the integrated subbands through a synthesis filter to obtain an MP3 reconstruction sound; A fifth process S8 is performed to add the MP3 reconstruction sound to the audio signal of the high frequency band to obtain a reconstruction signal reproduced with high sound. The operation of the present invention will be described.

First, the filter bank 1 subdivides the audio signal into 32 subbands, and the FFT unit 3 converts the audio signal into a spectrum in the frequency domain and outputs the converted audio signal.

At this time, the psychoacoustic unit 4 obtains a masking threshold value using the spectrum output from the FFT unit 3, that is, masking characteristics of the spectrum output for each critical band by modeling the spectrum output from the FFT unit 3. After convolution with the spreading function, an offset is added to the convolution value to obtain a masking threshold.

In addition, the MDCT unit 2 selects a frequency band sample having a long transform or a short transform in order to improve the frequency resolution according to the masking threshold of the psychoacoustic unit 4. Select it and apply it to the quantization unit 5.

Accordingly, the quantization unit 5 receives 576 frequency domain samples output from the MDCT unit 2 and quantizes them, and then outputs the quantized signals in each subband by Huffman encoding unit 7 by Huffman encoding. The additional information output section 6 outputs additional information used in the quantization operation.

In this case, the quantization unit 5 performs an inner loop 5b or an outer loop 5a according to two constraints.

The inner loop 5b adjusts the bit rate by adjusting the scale factor so as not to exceed the available bit rate in the frame. When the bit rate is exceeded after Huffman encoding, the inner loop 5b satisfies the bit rate.

The outer loop 5a transforms the quantization noise below the masking threshold in each threshold band so that the noise is inaudible.

In this case, when the masking threshold is a high frequency band, the masking threshold has a value of about 60 dB or more, and thus is not encoded in most audio signals and sufficient reproduction is difficult even in a 10-15 KHz band signal.

Accordingly, the present invention uses a linear predictive coefficient to encode a high frequency band with only a few bits, which will be described.

First, the linear predictive coefficient extracting unit 100 receives a spectrum output from the FFT unit 3 and extracts a linear predictive coefficient from the spectrum. In addition, the linear predictive coefficient extracting unit 100 can obtain the linear predictive coefficient from the time-domain audio signal passing through the high frequency band filter. However, the linear predictive coefficients have sufficient effect even with less than 4th order.

Thereafter, the coding audio output unit 8 adds an envelope using a linear prediction coefficient to the additional information and the Huffman coded signal, and outputs an MPEG audio frame.

4 shows the Huffman coding frequency domain division, and the frequency domain is divided into three parts. In the case of the high frequency domain, the frequency domain is divided into '0' values, and the decoder can know only the number of '0' values. High frequency band audio signals cannot be recovered.

Therefore, in order to decode an audio signal of a high frequency band, if the spectral envelope is modeled using the linear predictive coefficient and convoluted with white noise, the audio signal of the removed band is restored.

More specifically, the digital audio decoding method will be described with reference to FIG.

First, when an MP3 bitstream is input, header information and additional information including information on sampling frequency, bit rate, and layer are decoded (S1 and S2).

Then, if a linear predictive coefficient exists in the MP3 bitstream, the linear predictive coefficient is restored to an audio signal of a high frequency band (S9 to S11).

That is, the spectral envelope signal is modeled by decoding the linear predictive coefficient (S9), and the spectral envelope signal is convolved with white noise to restore an audio signal of a high frequency band (S10) and (S11).

In this case, the high frequency band audio signal passes a smoothing filter to prevent a sudden level change between frames.

On the other hand, in the audio signal from which the additional information is decoded, the scale factor and Huffman data included therein are decoded (S3 and S4), and the decoded data is dequantized (S5), and the divided frequency band is subbanded. After integrating into (S6), this integrated subband is passed through a synthesis filter to obtain an MP3 reconstruction sound (S7).

Thereafter, the MP3 reconstruction sound is added to the audio signal of the high frequency band to obtain a reconstruction signal reproduced with high sound (S8).

As described in detail above, the present invention has an effect of improving the reconstructed sound quality of the MP3 audio compression by transmitting the envelope of the spectrum using the linear prediction coefficient to the additional bit information of the MP3 bit stream and reproducing the high-pitched portion in the decoder. have.

Claims (9)

An FFT unit for converting an audio signal into a spectrum of a frequency domain; A psychoacoustic unit for obtaining a masking threshold value using the spectrum output from the FFT unit; An MDCT for selecting a frequency band sample having a long transform or a short transform according to a masking threshold of the psychoacoustic unit; A quantization unit configured to perform a quantization operation on the frequency band sample through internal and external iteration loops according to a masking threshold of the psychoacoustic unit; A linear predictive coefficient extracting unit which receives a spectrum output from the FFT and extracts a linear predictive coefficient from the spectrum; An additional information output unit for outputting additional information used in the quantization operation; A Huffman encoding unit for Huffman encoding and outputting the quantized signal in each subband; And a coded audio output unit configured to add an envelope using a linear prediction coefficient to the additional information and the Huffman coded signal, and output an MPEG audio frame. The digital sound receiver according to claim 1, wherein the psychoacoustic unit convolves the spectrum output from the FFT unit with a spreading function modeling masking characteristics for each critical band, and then adds an offset to the convolution value to obtain a masking threshold value. Audio encoder. The digital audio encoder of claim 1, wherein the inner loop adjusts the bit rate by adjusting a scale factor so as not to exceed the bit rate available in the frame. 2. The digital audio encoder of claim 1 wherein the outer loop transforms quantization noise below a masking threshold in each threshold band. The digital audio encoder of claim 1, wherein the linear predictive coefficient extractor extracts the linear predictive coefficient using an audio signal in a time domain that has passed through a high frequency band filter. A first step of decoding the header information and the additional information when the MP3 bitstream is input; A second process of restoring an audio signal of a high frequency band if the linear predictive coefficient exists in the MP3 bit stream; Decoding the scale factor and Huffman data, and then inversely quantizing the decoded data; A fourth step of integrating the divided frequency band into subbands and then passing the integrated subbands through a synthesis filter to obtain an MP3 reconstruction sound; And performing a fifth process of adding the MP3 reconstructed sound to the high frequency band audio signal to obtain a reconstructed signal reproduced with high sound. 7. The method of claim 6, further comprising: modeling a spectral envelope signal by decoding the linear predictive coefficients; And restoring an audio signal of a high frequency band by convolving the spectral envelope signal of the step with white noise. 8. The digital audio decoding method according to claim 6 or 7, wherein an audio signal of a high frequency band passes through a smoothing filter to prevent a sudden level change between frames. 7. The digital audio decoding method of claim 6, wherein the header information includes sampling frequency, bit rate, and layer information.