CN101466056B - Method and device for eliminating noise of microphone - Google Patents
Method and device for eliminating noise of microphone Download PDFInfo
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- CN101466056B CN101466056B CN2008102421014A CN200810242101A CN101466056B CN 101466056 B CN101466056 B CN 101466056B CN 2008102421014 A CN2008102421014 A CN 2008102421014A CN 200810242101 A CN200810242101 A CN 200810242101A CN 101466056 B CN101466056 B CN 101466056B
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Abstract
The invention discloses a noise elimination method for a microphone. The method comprises the following steps: a first omnidirectional microphone and a second omnidirectional microphone are placed front and back, and the spacing is d; a signal received by the second omnidirectional microphone is taken as a second signal after prolonging time for t2, the energy of the second signal and a third signal is calculated, and a second signal short-time energy and a third signal short-time energy are obtained; the third signal short-time energy can be compared with the second signal short-time energy; according to the comparative result, a first parameter, a second parameter and a parameter of a self-adapting filter are obtained; the second signal processed by the self-adapting filter is negated and a noise elimination signal is obtained by adding the second signal to the third signal; an output signal is obtained through multiplying the noise elimination signal by the second parameter, thus greatly improving the effect of the noise elimination.
Description
Technical field
The present invention relates to a kind of noise-eliminating method and device of microphone.
Background technology
Mobile communication technology has obtained fast development in recent years.The consumer uses mobile communication equipment more and more, and for example portable phone, the portable phone that can surf the Net, personal digital assistant, laptop computer, laptop computer, figure input card maybe can be through other equipment public or that dedicated communications network communicates.The technical progress of the expansion at honeycomb networking and mobile communication aspect makes more consumers use mobile communication equipment.
The consumer not only is satisfied with and can converses the requirement of mobile communication equipment; And want high-quality communication effect can be provided; Especially the development of mobile multimedia technology; The speech quality of mobile phone becomes more important, and the microphone of mobile phone is as the voice device of mobile phone, and its design quality directly influences speech quality.Therefore how to improve speech quality, becoming needs the actively problem of solution in the industry.
Summary of the invention
The technical matters that the present invention will solve is to provide a kind of eliminating noise of microphone method, and a kind of eliminating noise of microphone device is provided simultaneously.
For solving the problems of the technologies described above, the technical scheme that the present invention adopts is:
A kind of eliminating noise of microphone method comprises the steps:
Step S11: the first full directional microphone, second full directional microphone and the sef-adapting filter are provided, and the initial parameter value that variable first parameter, second parameter and sef-adapting filter are set is 0;
With placing before and after the first full directional microphone and the second full directional microphone, its spacing is d;
Step S12: with negate behind the signal lag time t1 of the second full directional microphone reception; First signal plus that receives with the first full directional microphone then; Obtain the 3rd signal with multiply by gain coefficient after the low pass signal filtering after the addition, said gain coefficient is a constant;
Be input to sef-adapting filter as secondary signal behind the signal lag t2 with the second full directional microphone reception;
Step S13: carry out energy statistics as secondary signal and said the 3rd signal behind the signal lag t2 with the said second full directional microphone reception; Obtain secondary signal short-time energy and the 3rd signal short-time energy, time-delay t2 makes that secondary signal and the 3rd signal can be synchronously;
Step S14: the 3rd signal short-time energy and secondary signal short-time energy are compared, obtain the parameter of first parameter, second parameter and sef-adapting filter according to result relatively;
Secondary signal negate and the 3rd signal plus after auto adapted filtering is handled are obtained noise cancellation signal;
Step S15: noise cancellation signal and second parameter multiplied each other obtains exporting signal, execution in step S12;
Step S16: when the first full directional microphone or the second full directional microphone no longer receive signal, finish.
Preferably, step S14 comprises the steps:
Step S141: if the 3rd signal short-time energy greater than secondary signal short-time energy, execution in step S142 then, otherwise execution in step S147;
Step S142: first parameter is put 1;
Step S143: judge whether second parameter is 1, if second parameter is not 1, second parameter=second parameter+Δ m then, Δ m is the arbitrary number between 0 to 1, if second parameter is 1, execution in step S144 then;
Step S144: the negate after sef-adapting filter is handled of the secondary signal after will delaying time with the 3rd signal plus, obtains first noise cancellation signal then;
Step S145: first noise cancellation signal is fed back to said sef-adapting filter, the parameter change of sef-adapting filter, execution in step S15;
Step S147: first parameter is put 0;
Step S148: judge whether second parameter is 0, if second parameter is not 0, second parameter=second parameter-Δ n then, Δ n is the arbitrary number between 0 to 1;
Step S149:, with the 3rd signal plus, obtain second noise cancellation signal then with secondary signal negate after sef-adapting filter is handled; Execution in step S12.
Preferably, in step S11, the first full directional microphone and the second full directional microphone be between 1 centimetre to 4 centimetres apart from d.
Preferably, in step S143, Δ m is 0.1; At step S148, Δ n is 0.1.
Preferably, in step S12, delay time t1 is directly proportional with distance between the first full directional microphone and the second full directional microphone, is inversely proportional to the velocity of sound.
Preferably, in step S12, said gain coefficient is the numerical value between 8 to 11.
The present invention also provides a kind of eliminating noise of microphone device, comprising:
The first full directional microphone, the second full directional microphone, with placing before and after the first full directional microphone and the second full directional microphone, its spacing is d;
First signal processing apparatus; Negate behind the signal lag time t1 that is used for the second full directional microphone is received; First signal plus that receives with the first full directional microphone then obtains the 3rd signal with multiply by gain coefficient after the low pass signal filtering after the addition, and said gain coefficient is a constant;
Be input to sef-adapting filter as secondary signal behind the signal lag t2 with the second full directional microphone reception, time-delay t2 makes secondary signal and the 3rd signal Synchronization;
The energy statistics comparison means is used for said secondary signal and said the 3rd signal are carried out energy statistics, obtains secondary signal short-time energy and the 3rd signal short-time energy;
The 3rd signal short-time energy and secondary signal short-time energy are compared, obtain the parameter of first parameter, second parameter and sef-adapting filter according to result relatively;
Energy processing device with secondary signal filtering, and obtains noise cancellation signal with filtered secondary signal negate and the 3rd signal plus;
Output unit, being used for noise cancellation signal and second parameter multiplied each other obtains exporting signal.
Preferably, said energy processing device comprises:
First energy processing device if be used for the 3rd signal short-time energy greater than secondary signal short-time energy, then puts 1 with first parameter; Judge whether second parameter is 1, if second parameter is not 1, second parameter=second parameter+Δ m then, Δ m is the arbitrary number between 0 to 1; With secondary signal negate after sef-adapting filter is handled, with the 3rd signal plus, obtain first noise cancellation signal then; First de-noising is fed back to said sef-adapting filter, the parameter change of sef-adapting filter; First noise cancellation signal and second parameter are multiplied each other, obtain exporting signal;
Second energy processing device if be used for the 3rd signal short-time energy less than secondary signal short-time energy, then puts 0 with first parameter; Judge whether second parameter is 0, if second parameter is not 0, second parameter=second parameter-Δ n then, Δ n is the arbitrary number between 0 to 1; With secondary signal negate after sef-adapting filter is handled, with the 3rd signal plus, obtain second noise cancellation signal then; Second noise cancellation signal and second parameter are multiplied each other, obtain exporting signal.
Preferably, the first full directional microphone and the second full directional microphone is between 1 centimetre to 4 centimetres apart from d; Delay time t1 is directly proportional with distance between the first full directional microphone and the second full directional microphone, is inversely proportional to the velocity of sound; Said gain coefficient is the numerical value between 8 to 11.
Preferably, Δ m is 0.1, and Δ n is 0.1.
Description of drawings
Fig. 1 is the noise-eliminating method process flow diagram of microphone provided by the invention;
Fig. 2 is the process flow diagram that the 3rd signal short-time energy and secondary signal short-time energy are compared provided by the invention;
Fig. 3 is the circuit diagram of an embodiment provided by the invention;
Fig. 4 is the synoptic diagram of an embodiment provided by the invention;
Fig. 5 a does not adopt method provided by the invention to obtain device, when the effect of the voice signal of noise source when 90 spend;
Fig. 5 b is after adopting method provided by the invention to obtain device, when the effect of the voice signal of noise source when 90 spend.
Embodiment
Below in conjunction with accompanying drawing the present invention is further specified.
Referring to Fig. 1, the noise-eliminating method of microphone provided by the invention is:
Step S 11: the first full directional microphone, second full directional microphone and the sef-adapting filter are provided; The initial parameter value that variable first parameter, second parameter and sef-adapting filter are set is 0; I.e. first parameter=0, the second parameter=0, the parameter of sef-adapting filter=0;
With placing before and after the first full directional microphone and the second full directional microphone, its spacing is d; Spacing is that d is between 1 centimetre to 4 centimetres;
Step S12: with negate behind the signal lag time t1 of the second full directional microphone reception; First signal plus that receives with the first full directional microphone then; Obtain the 3rd signal with multiply by gain coefficient after the low pass signal filtering after the addition, said gain coefficient is a constant; Wherein delay time t1 is directly proportional with distance between the first full directional microphone and the second full directional microphone, is inversely proportional to the velocity of sound; Gain coefficient is the arbitrary value between the 8-11, and gain coefficient is a constant.
Be input to sef-adapting filter as secondary signal behind the signal lag t2 with the second full directional microphone reception; The signal lag t2 that the second full directional microphone is received is in order to make secondary signal and the 3rd signal Synchronization;
Step S13: carry out energy statistics as secondary signal and said the 3rd signal behind the signal lag t2 with the said second full directional microphone reception; Obtain secondary signal short-time energy and the 3rd signal short-time energy, time-delay t2 makes that secondary signal and the 3rd signal can be synchronously;
Step S14: the 3rd signal short-time energy and secondary signal short-time energy are compared, obtain the parameter of first parameter, second parameter and sef-adapting filter according to result relatively;
Secondary signal negate and the 3rd signal plus after auto adapted filtering is handled are obtained noise cancellation signal;
Step S15: noise cancellation signal and second parameter multiplied each other obtains exporting signal, execution in step S12;
Step S16: when the first full directional microphone or the second full directional microphone no longer received signal, this process finished.
Referring to Fig. 2, Fig. 2 is the process of above-mentioned steps S12:
Step S141: if the 3rd signal short-time energy greater than secondary signal short-time energy, execution in step S142 then, otherwise execution in step S147;
Step S142: first parameter is put 1; I.e. first parameter=1;
Step S143: judge whether second parameter is 1, if second parameter is not 1, second parameter=second parameter+Δ m then, Δ m is the arbitrary number between 0 to 1, if second parameter is 1, execution in step S144 then; In one embodiment, Δ m=0.1;
Step S144:, with the 3rd signal plus, obtain first noise cancellation signal then with secondary signal negate after sef-adapting filter is handled;
Step S145: first noise cancellation signal is fed back to said sef-adapting filter, the parameter change of sef-adapting filter, execution in step S15;
Step S147: first parameter is put 0; I.e. first parameter=0;
Step S148: judge whether second parameter is 0, if second parameter is not 0, second parameter=second parameter-Δ n then, Δ n is the arbitrary number between 0 to 1; In one embodiment, Δ n=0.1;
Step S149:, with the 3rd signal plus, obtain second noise cancellation signal then with secondary signal negate after sef-adapting filter is handled; Execution in step S12.
Wherein, among the step S145, the parameter of sef-adapting filter is such:
If M=filter length (M is any amount between the 1-200), b=step parameter, b are the arbitrary value between 0.001 to 1,
Suppose that u (n) is the value of the secondary signal of a certain moment input adaptive wave filter, the input vector U (n) of this moment sef-adapting filter is defined as currency and the value of M-1 before so, U (n)=[u (n), u (n-1) ... u (n-M+1)]
T, next input value constantly is u (n+1), next input vector constantly be exactly U (n+1)=[u (n+1), u (n) ... u (n-M+2)]
T,
The definition secondary signal is e (n) through the difference of subtracting each other with the 3rd signal d (n) after the filtering,
Define the current time adaptive filter parameters
The next parameter is
So
The present invention also provides a kind of eliminating noise of microphone device, referring to Fig. 3, comprising:
The first full directional microphone, the second full directional microphone, with placing before and after the first full directional microphone and the second full directional microphone, its spacing is d;
First signal processing apparatus; Negate behind the signal lag time t1 that is used for the second full directional microphone is received; First signal plus that receives with the first full directional microphone then obtains the 3rd signal with multiply by gain coefficient after the low pass signal filtering after the addition, and said gain coefficient is a constant;
Be input to sef-adapting filter as secondary signal behind the signal lag t2 with the second full directional microphone reception, time-delay t2 makes secondary signal and the 3rd signal Synchronization;
The energy statistics comparison means is used for said secondary signal and said the 3rd signal are carried out energy statistics, obtains secondary signal short-time energy and the 3rd signal short-time energy;
The 3rd signal short-time energy and secondary signal short-time energy are compared, obtain the parameter of first parameter, second parameter and sef-adapting filter according to result relatively;
Energy processing device carries out secondary signal, and filtered secondary signal negate and the 3rd signal plus are obtained noise cancellation signal;
Output unit, being used for noise cancellation signal and second parameter multiplied each other obtains exporting signal.
Wherein, energy processing device comprises:
First energy processing device if be used for the 3rd signal short-time energy greater than secondary signal short-time energy, then puts 1 with first parameter; Judge whether second parameter is 1, if second parameter is not 1, second parameter=second parameter+Δ m then, Δ m is the arbitrary number between 0 to 1; With secondary signal negate after sef-adapting filter is handled, with the 3rd signal plus, obtain first noise cancellation signal then; First de-noising is fed back to said sef-adapting filter, the parameter change of sef-adapting filter; First noise cancellation signal and second parameter are multiplied each other, obtain exporting signal;
Second energy processing device if be used for the 3rd signal short-time energy less than secondary signal short-time energy, then puts 0 with first parameter; Judge whether second parameter is 0, if second parameter is not 0, second parameter=second parameter-Δ n then, Δ n is the arbitrary number between 0 to 1; With secondary signal negate after sef-adapting filter is handled, with the 3rd signal plus, obtain second noise cancellation signal then; Second noise cancellation signal and second parameter are multiplied each other, obtain exporting signal.
Wherein the first full directional microphone and the second full directional microphone is between 1 centimetre to 4 centimetres apart from d; Delay time t1 is directly proportional with distance between the first full directional microphone and the second full directional microphone, is inversely proportional to the velocity of sound; Said gain coefficient is the numerical value between 8 to 11.
Wherein, Δ m is 0.1, and Δ n is 0.1.
Referring to Fig. 5 a and Fig. 5 b; Be to have adopted method and apparatus provided by the invention and do not adopted method and apparatus provided by the invention under single-frequency 1khz noise circumstance; Noise source is on the position of 90 degree, and speech source is different de-noising results on the position of 0 degree, and is visible; After adopting method and apparatus provided by the invention, obtained good de-noising effect.
Referring to Fig. 4, suppose to have a people to make a phone call on the engine next door of a running.The first full directional microphone and the second full directional microphone are mounted on the phone receiver, face the direction of mouth, and engine is then on other direction.Mouth is the signal source mouth, and engine is a noise source, and the people speaks sometimes, and is sometimes silent, and engine turns round always.
The first full directional microphone and the second full directional microphone are through time-delay, negate.Constitute a virtual uni-directional microphone after multiply by gain coefficient after addition, the LPF, the signal of the uni-directional microphone that this is virtual is represented with the 3rd signal.
When the people is dumb when having only engine running; Can be regarded as having only a noise source; Because noise source is not just to make progress, so the short-time energy of the signal that virtual unidirectivity microphone receives statistics is littler than the energy statistics of omni-directional microphone.This time first, parameter put 0; Second parameter is decremented to 0; First parameter put 0 just allow sef-adapting filter coefficient update, constantly make the result of the signal filtering of omni-directional microphone approach the output of virtual unidirectivity microphone, thereby make both signals cancel out each other.Even there is the part that to offset fully to exist, also can become 0 because of the relation that multiplies each other with second parameter.This time, total system was output as 0.
And when the people loquiturs; The virtual uni-directional microphone and the second full directional microphone can receive the signal that noise source and signal source are sent simultaneously; But because so being the intensity of pressing close to the signal of microphone, mouth is far longer than the intensity of noise, this time, the short-time energy statistics of the signal that virtual unidirectivity microphone receives was greater than the energy statistics of omni-directional microphone.This time first, parameter put 1; Second parameter is incremented to 1; First parameter is put 1 and is not just allowed the coefficient update of sef-adapting filter; Situation is done the numerical value of counteracting before still keeping to pure noise signal; The ratio of the intensity of the noise that the intensity of the noise that this time, omni-directional microphone received and virtual unidirectivity microphone receive does not have change; Ratio before still being situation the time, thus the signal that omni-directional microphone is accepted through after the filtering with the signal subtraction of virtual unidirectivity microphone, the composition of residual signal the inside noise signal should be suppressed; And since this moment the useful signal that receives of omni-directional microphone the ratio of intensity and the intensity of the useful signal that virtual unidirectivity microphone receives be not equal to it before the ratio of situation noise intensity, so the composition of useful signal can not be suppressed inside the residual signal.So this time, the output of system was exactly the useful signal of having eliminated noise.
Method provided by the invention is again to realize on the ADSP-21161 plate of ADI company.The first full directional microphone is placed on the place ahead, and the second full directional microphone is placed on the rear, its spacing 2cm.The signal wire of the first full directional microphone and the second full directional microphone is directly connected to the input end of analog signal mouth of DSP, and last output signal is from the analog signal output mouth output of DSP.
Protection scope of the present invention is not exceeded with above-mentioned embodiment, as long as the equivalence that those of ordinary skills do according to disclosed content is modified or changed, all should include in the protection domain of putting down in writing in claims.
Claims (10)
1. an eliminating noise of microphone method is characterized in that: comprise the steps:
Step S11: the first full directional microphone, second full directional microphone and the sef-adapting filter are provided, and the initial parameter value that variable first parameter, second parameter and sef-adapting filter are set is p;
With placing before and after the first full directional microphone and the second full directional microphone, its spacing is d;
Step S12: with negate behind the signal lag time t1 of the second full directional microphone reception; First signal plus that receives with the first full directional microphone then; Obtain the 3rd signal with multiply by gain coefficient after the low pass signal filtering after the addition, said gain coefficient is a constant;
Be input to sef-adapting filter as secondary signal behind the signal lag t2 with the second full directional microphone reception;
Step S13: carry out energy statistics as secondary signal and said the 3rd signal behind the signal lag t2 with the said second full directional microphone reception; Obtain secondary signal short-time energy and the 3rd signal short-time energy, time-delay t2 makes that secondary signal and the 3rd signal can be synchronously;
Step S14: the 3rd signal short-time energy and secondary signal short-time energy are compared, obtain the parameter of first parameter, second parameter and sef-adapting filter according to result relatively;
Secondary signal negate and the 3rd signal plus after auto adapted filtering is handled are obtained noise cancellation signal;
Step S15: noise cancellation signal and second parameter multiplied each other obtains exporting signal;
Step S16: when the first full directional microphone or the second full directional microphone no longer receive signal, finish; Otherwise, execution in step S12.
2. eliminating noise of microphone method according to claim 1, it is characterized in that: step S14 comprises the steps:
Step S141: if the 3rd signal short-time energy greater than secondary signal short-time energy, execution in step S142 then, otherwise execution in step S147;
Step S142: first parameter is put 1;
Step S143: judge whether second parameter is 1, if second parameter is not 1, second parameter=second parameter+Δ m then, Δ m is the arbitrary number between 0 to 1, if second parameter is 1, execution in step S144 then;
Step S144: the negate after sef-adapting filter is handled of the secondary signal after will delaying time with the 3rd signal plus, obtains first noise cancellation signal then;
Step S145: first noise cancellation signal is fed back to said sef-adapting filter, the parameter change of sef-adapting filter, execution in step S15;
Step S147: first parameter is put 0;
Step S148: judge whether second parameter is 0, if second parameter is not 0, second parameter=second parameter-Δ n then, Δ n is the arbitrary number between 0 to 1;
Step S149:, with the 3rd signal plus, obtain second noise cancellation signal then with secondary signal negate after sef-adapting filter is handled; Execution in step S12.
3. eliminating noise of microphone method according to claim 1 is characterized in that: in step S11, the first full directional microphone and the second full directional microphone be between 1 centimetre to 4 centimetres apart from d, p is 0.
4. eliminating noise of microphone method according to claim 2 is characterized in that: in step S143, Δ m is 0.1; At step S148, Δ n is 0.1.
5. eliminating noise of microphone method according to claim 1 is characterized in that: in step S12, delay time t1 is directly proportional with distance between the first full directional microphone and the second full directional microphone, is inversely proportional to the velocity of sound.
6. eliminating noise of microphone method according to claim 1 is characterized in that: in step S12, said gain coefficient is the numerical value between 8 to 11.
7. eliminating noise of microphone device is characterized in that: comprising:
The first full directional microphone, the second full directional microphone, with placing before and after the first full directional microphone and the second full directional microphone, its spacing is d;
First signal processing apparatus; Negate behind the signal lag time t1 that is used for the second full directional microphone is received; First signal plus that receives with the first full directional microphone then obtains the 3rd signal with multiply by gain coefficient after the low pass signal filtering after the addition, and said gain coefficient is a constant;
Be input to sef-adapting filter as secondary signal behind the signal lag t2 with the second full directional microphone reception, time-delay t2 makes secondary signal and the 3rd signal Synchronization;
The energy statistics comparison means is used for said secondary signal and said the 3rd signal are carried out energy statistics, obtains secondary signal short-time energy and the 3rd signal short-time energy;
The 3rd signal short-time energy and secondary signal short-time energy are compared, obtain the parameter of first parameter, second parameter and sef-adapting filter according to result relatively;
Energy processing device obtains noise cancellation signal with secondary signal filtering and with filtered secondary signal negate and the 3rd signal plus;
Output unit, being used for noise cancellation signal and second parameter multiplied each other obtains exporting signal.
8. eliminating noise of microphone device according to claim 7 is characterized in that, said energy processing device comprises:
First energy processing device if be used for the 3rd signal short-time energy greater than secondary signal short-time energy, then puts 1 with first parameter; Judge whether second parameter is 1, if second parameter is not 1, second parameter=second parameter+Δ m then, Δ m is the arbitrary number between 0 to 1; With secondary signal negate after sef-adapting filter is handled, with the 3rd signal plus, obtain first noise cancellation signal then; First de-noising is fed back to said sef-adapting filter, the parameter change of sef-adapting filter; First noise cancellation signal and second parameter are multiplied each other, obtain exporting signal;
Second energy processing device if be used for the 3rd signal short-time energy less than secondary signal short-time energy, then puts 0 with first parameter; Judge whether second parameter is 0, if second parameter is not 0, second parameter=second parameter-Δ n then, Δ n is the arbitrary number between 0 to 1; With secondary signal negate after sef-adapting filter is handled, with the 3rd signal plus, obtain second noise cancellation signal then; Second noise cancellation signal and second parameter are multiplied each other, obtain exporting signal.
9. eliminating noise of microphone device according to claim 7 is characterized in that: the first full directional microphone and the second full directional microphone be between 1 centimetre to 4 centimetres apart from d; Delay time t1 is directly proportional with distance between the first full directional microphone and the second full directional microphone, is inversely proportional to the velocity of sound; Said gain coefficient is the numerical value between 8 to 11.
10. eliminating noise of microphone device according to claim 8 is characterized in that: Δ m is 0.1, and Δ n is 0.1.
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| CN102300140B (en) | 2011-08-10 | 2013-12-18 | 歌尔声学股份有限公司 | Speech enhancing method and device of communication earphone and noise reduction communication earphone |
| CN102779525B (en) * | 2012-07-23 | 2014-12-03 | 华为终端有限公司 | Noise reduction method and terminal |
| CN103219012B (en) * | 2013-04-23 | 2015-05-13 | 中国人民解放军总后勤部军需装备研究所 | Double-microphone noise elimination method and device based on sound source distance |
| CN105471992B (en) * | 2015-11-30 | 2019-10-01 | 北京汉能华科技股份有限公司 | A kind of terminal device and communication system applied to wind power plant |
| WO2020103035A1 (en) * | 2018-11-21 | 2020-05-28 | 深圳市欢太科技有限公司 | Audio processing method and apparatus, and storage medium and electronic device |
| CN114257921A (en) * | 2021-04-06 | 2022-03-29 | 北京安声科技有限公司 | Sound pickup method and device, computer readable storage medium and earphone |
| CN114257908A (en) * | 2021-04-06 | 2022-03-29 | 北京安声科技有限公司 | Method and device for reducing noise of earphone during conversation, computer readable storage medium and earphone |
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