CN100337270C - Device and method for eliminating voice communication terminal background noise - Google Patents
Device and method for eliminating voice communication terminal background noise Download PDFInfo
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- CN100337270C CN100337270C CNB2004100585789A CN200410058578A CN100337270C CN 100337270 C CN100337270 C CN 100337270C CN B2004100585789 A CNB2004100585789 A CN B2004100585789A CN 200410058578 A CN200410058578 A CN 200410058578A CN 100337270 C CN100337270 C CN 100337270C
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- G—PHYSICS
- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10L—SPEECH ANALYSIS OR SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING; SPEECH OR AUDIO CODING OR DECODING
- G10L21/00—Processing of the speech or voice signal to produce another audible or non-audible signal, e.g. visual or tactile, in order to modify its quality or its intelligibility
- G10L21/02—Speech enhancement, e.g. noise reduction or echo cancellation
- G10L21/0208—Noise filtering
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04R—LOUDSPEAKERS, MICROPHONES, GRAMOPHONE PICK-UPS OR LIKE ACOUSTIC ELECTROMECHANICAL TRANSDUCERS; DEAF-AID SETS; PUBLIC ADDRESS SYSTEMS
- H04R1/00—Details of transducers, loudspeakers or microphones
- H04R1/10—Earpieces; Attachments therefor ; Earphones; Monophonic headphones
- H04R1/1083—Reduction of ambient noise
Abstract
The present invention discloses a device for eliminating the background noise of a voice communication terminal. The device comprises a D/A transformation module, a player, a sound sensor, an A/D transformation module, a self-adaptive filter, a noise estimation module and an accumulator module. The present invention simultaneously discloses a method for eliminating the background noise of the voice communication terminal. The method comprises the following steps: a. voice signals transmitted by a voice communication terminal and background noise signals of a recipient are collected; b. the background noise signals of the recipient are estimated from obtained signals; c. the phase of the background noise signals of the recipient obtained through estimation is reversed, the background noise signals are superposed with voice signals of a sender received by the voice communication terminal, and the superposed signals and the background noise of the recipient are treated by noise cancellation. The device and the method provided by the present invention can perfectly counteract background noise around headphones and can reduce the interference of the background noise of the recipient to the recipient.
Description
Technical field
The present invention relates to the communication terminal voice processing technology, particularly relate to a kind of cancellation element and method of voice communication terminal ground unrest.
Background technology
Along with the develop rapidly of the communication technology and universal day by day, communication has become a kind of important means of the daily exchanging contact of people, and therefore, people also have higher requirement to the voice quality of conversation.In practical communication, the communication user both sides usually converse under some noisy background environments.At this moment, the sound that take over party user hears not only comprises transmit leg user's the speech of speaking, and also comprises other sound around transmit leg and the take over party user, the sound that sends such as other people speech, footsteps, article clash, music and the vehicles etc.These sound except communication user both sides' the speech of speaking are called ground unrest, are positioned at transmit leg user ground unrest on every side and are called the transmit leg ground unrest, are positioned at take over party user's ground unrest on every side and are called take over party's ground unrest.
Fig. 1 is the voice delivery process synoptic diagram of mobile communication terminal, wherein, the transmit leg microphone receives transmit leg voice and transmit leg ground unrest simultaneously, through the sound of receiving is sampled and is encoded, after the transmission, decoding processing, send take over party's earphone or loudspeaker to, the take over party listens to by earphone or loudspeaker and transmits the sound of coming, and also hears take over party's ground unrest simultaneously.This shows that the dual interference of transmit leg ground unrest and take over party's ground unrest received in voice at transmittance process.Under many circumstances, ground unrest has been covered communication speaker's speech, makes take over party hearer can not correctly obtain the voice messaging that the speaker sends, thereby causes the difficulty of communication.
Based on the voice delivery process of mobile communication terminal shown in Figure 1, existing mobile communication terminal before calling party's vocoder is encoded to voice, all adopts auto-adaptive filtering technique to eliminate the transmit leg ground unrest such as CDMA mobile phone and GSM mobile handset.Fig. 2 is that the cancellation element structure of transmit leg ground unrest in the prior art mobile communication terminal is formed synoptic diagram, comprising: microphone 201, sampling module 202, sef-adapting filter 203 and voice coding module 204.
Wherein, microphone 201 receives transmit leg voice and ground unrest, sends transmit leg voice and the ground unrest of receiving to sampling module 202 then; Sampling module 202 is sampled to it after receiving transmit leg voice and ground unrest, is about to analog signal conversion and becomes digital signal, and the digital signal that obtains is exported to sef-adapting filter 203; 203 pairs of signals of receiving of sef-adapting filter carry out the elimination of ground unrest, and remaining voice signal is exported to voice coding module 204; 204 pairs of voice signals of receiving of voice coding module are encoded.
Wherein, the concrete structure of sef-adapting filter 203 as shown in Figure 3.Wherein, x (n) comprises transmit leg voice signal s (n) and transmit leg ambient noise signal v (n), i.e. x (n)=s (n)+v (n) for the input signal that the microphone through sampling processing receives.X (n) obtains x (n-Δ)=s (n-Δ)+v (n-Δ) through postponing behind the Δ, x (n-Δ) is by the filter segment of sef-adapting filter 203, the estimated value (n) of output voice signal s (n), and estimated value (n) and input signal x (n) subtracted each other obtain error signal e (n).Additive operation wherein is not that general algebraically subtracts each other, but needs corresponding algorithm carry out computing, such as the power spectral-density analysis of related power etc.
Sef-adapting filter 203 adopts least mean-square error (LMS, Least Mean Square) algorithm, its weight w
i(n) regulated by error signal e (n)=x (n)- (n)=v (n)+(s (n)- (n)), wherein, 0≤i≤M-1, M are the exponent numbers of wave filter.If definition weighted vector W (n) and input vector X (n) are respectively:
W(n)＝[w
0(n) w
1(n) … w
M-2(n) w
M-1(n)]
T
X(n)＝[x
0(n) x
1(n) … x
M-2(n) x
M-1(n)]
T
Then the LMS algorithm of sef-adapting filter can be expressed as:
(n)＝W
T(n)X(n-Δ)＝W
T(n)S(n-Δ)+W
T(n)V(n-Δ)
e(n)＝x(n)-(n)
W(n+1)＝W(n)+μX(n)e(n)。
Wherein, μ is the step factor when searching for according to minimum mean square error criterion.
Because voice have quasi periodic, so voice signal s (n) and s (n-Δ) strong correlation, think that simultaneously noise signal v (n) and v (n-Δ) are uncorrelated, and think that also noise signal is uncorrelated with voice signal.Based on this hypothesis, can estimate the stronger composition of correlativity among the input signal x (n).Simultaneously, adjust the weight w of wave filter
i(n) make the square error minimum of e (n), just can obtain the best estimate (n) of voice signal s (n) under minimum mean square error criterion.
Though the scheme of the elimination transmit leg ground unrest that prior art provides can reduce the interference of ground unrest to voice, but prior art is only considered and is eliminated the transmit leg ground unrest, and take over party's ground unrest is not carried out any processing, ignored the interference of the sound that take over party's ground unrest sends the take over party earphone, particularly when the take over party was in noisy environment, take over party's ground unrest disturbed especially serious to speaker's voice.And the method that present mobile communication terminal overcomes take over party's ground unrest is to adopt the volume that improves earphone, and this method is subjected to the restriction of earphone max volume, and the effect in noisy environment is still very poor.Similarly, also there are the problems referred to above in the existing fixed communication terminal.
Summary of the invention
In view of this, fundamental purpose of the present invention is to provide a kind of cancellation element of voice communication terminal ground unrest, can carry out denoising Processing to take over party's ground unrest, reduces the interference of take over party's ground unrest to the recipient.
Another object of the present invention is to provide a kind of removing method of voice communication terminal ground unrest, can reduce of the interference of take over party's ground unrest the recipient.
For achieving the above object, technical scheme of the present invention is achieved in that
The invention discloses a kind of cancellation element of voice communication terminal ground unrest, comprising:
The D/A conversion module is used for digital signal is converted to simulating signal and output;
Player is used to receive the simulating signal of described D/A conversion module output and play;
This device also comprises:
The sound sensor device is used to gather sound and take over party's ground unrest of described player plays and export;
The A/D conversion module is used for the analog signal conversion of described sound sensor device output is become digital signal and output;
Sef-adapting filter is used to receive the digital signal of transmit leg voice signal and described A/D conversion module output, estimates noise signal and output in the digital signal of described A/D conversion module output;
The Noise Estimation module is used for take over party's ambient noise signal prediction current time take over party's ambient noise signal and output according to the noise signal and the previous moment of described sef-adapting filter output;
Adder Module is used for the current time take over party ambient noise signal and the transmit leg voice signal of described Noise Estimation module output are carried out the antiphase stack, and exports to described D/A conversion module.
Wherein, described sound sensor device can comprise at least one microphone.
In the such scheme, this device may further include superimposer, and described superimposer is used for the simulating signal that a plurality of microphones are exported being superposeed and exporting to the A/D conversion module between microphone and A/D conversion module;
Perhaps described superimposer is used for that a plurality of microphones are exported to the signal A/D conversion module, that carried out respectively after the analog to digital conversion by the A/D conversion module and superposes, and export to sef-adapting filter between A/D conversion module and sef-adapting filter.
In addition, described A/D conversion module can carry out the A/D conversion module that analog to digital conversion is also exported to sef-adapting filter respectively for the signal to a plurality of microphone outputs respectively; Described sef-adapting filter can be multiple signals that receive described A/D conversion module output and the sef-adapting filter that carries out Filtering Processing respectively.
Described player can comprise at least one earphone or loudspeaker.
The present invention discloses a kind of removing method of voice communication terminal ground unrest, this method comprises:
A. gather voice signal and take over party's ambient noise signal that voice communication terminal sends;
B. estimate noise signal the voice signal that sends from the voice communication terminal that collects and the take over party's ambient noise signal, and according to take over party's ambient noise signal prediction current time take over party ambient noise signal of described noise signal and previous moment
C. the transmit leg voice signal that receives with voice communication terminal after the take over party's ambient noise signal antiphase that prediction is obtained superposes, and the signal after will superposeing carries out noise with actual take over party's ground unrest and disappears mutually.
Wherein, described step a may further include:
Gather multiple signals simultaneously, and the multiple signals that collect are superposeed, then stack result is carried out analog to digital conversion and output;
Perhaps, gather multiple signals simultaneously, respectively the multiple signals that collect are carried out analog to digital conversion, then transformation result is superposeed and export.
In the such scheme, described step b can comprise: the reference signal that the transmit leg voice signal of receiving with voice communication terminal is handled as auto adapted filtering, utilize auto adapted filtering to handle the noise signal estimated value that obtains in the digital signal, utilize the estimated value of this noise signal estimated value prediction take over party ambient noise signal then.
In addition, described step a may further include: gather multiple signals simultaneously, respectively multiple signals are carried out analog to digital conversion and output respectively; Correspondingly, described step b further comprises: the every way word signal to output carries out the auto adapted filtering processing respectively, obtain the noise signal estimated value in every way word signal, utilize the estimated value of the noise signal estimated value prediction take over party ambient noise signal that obtains.
Wherein, described utilize method that auto adapted filtering handle to obtain noise signal can for: utilize least-mean-square error algorithm to obtain the estimated value of noise signal.
In the such scheme, this method may further include: the multichannel input signal is carried out auto adapted filtering respectively handle, and select to handle maximal value in resulting a plurality of result or this all result sums estimated value as noise signal through auto adapted filtering.
In the such scheme, the method for described prediction take over party ambient noise signal estimated value can be the ambient noise signal estimated value of previous moment and handle the noise signal estimated value sum that obtains through auto adapted filtering for: the ambient noise signal estimated value of current time.
By such scheme as can be seen, key of the present invention is: apparatus of the present invention mainly comprise sef-adapting filter and the Noise Estimation module that is used for estimating background noise comprising, estimate ground unrest by sef-adapting filter and Noise Estimation module, to superpose with voice signal after the ground unrest estimated value antiphase, the voice signal that will comprise this ground unrest estimated value then plays back by earphone, ground unrest estimated value is wherein cancelled out each other with actual take over party's ground unrest, thereby obtain the voice signal after the de-noising.
Therefore, the cancellation element of this voice communication terminal ground unrest provided by the present invention and method, can offset earphone ground unrest on every side well, reduce of the interference of take over party's ground unrest, make the take over party under the little situation of earpiece volume, also can clearly not hear the speech of transmit leg the recipient.
Description of drawings
Fig. 1 is the voice delivery process synoptic diagram of mobile communication terminal;
Fig. 2 is that the cancellation element structure of transmit leg ground unrest in the prior art mobile communication terminal is formed synoptic diagram;
Fig. 3 is the structural representation of sef-adapting filter in the transmit leg ground unrest cancellation element shown in Figure 2;
Fig. 4 forms synoptic diagram for the structure of an embodiment of the cancellation element of take over party's ground unrest in the mobile communication terminal of the present invention;
Fig. 5 is the structural representation of sef-adapting filter among the embodiment of take over party's ground unrest cancellation element shown in Figure 4;
Fig. 6 is the arrangement mode synoptic diagram of earphone and microphone among the embodiment of the cancellation element of take over party's ground unrest of the present invention;
Fig. 7 is used to eliminate the method realization flow figure of the ground unrest of voice communication terminal for the present invention;
Fig. 8 forms synoptic diagram for the structure of an embodiment of the cancellation element of take over party's ground unrest in the fixed communication terminal of the present invention.
Embodiment
The present invention is further described in more detail below in conjunction with drawings and the specific embodiments.
Device provided by the invention mainly comprises sef-adapting filter and the Noise Estimation module that is used for estimating background noise comprising, estimate ground unrest by sef-adapting filter and Noise Estimation module, to superpose with voice signal after the ground unrest estimated value antiphase, the voice signal that will comprise this ground unrest estimated value then plays back by earphone, ground unrest estimated value is wherein cancelled out each other with actual take over party's ground unrest, thereby obtain the voice signal after the de-noising.
Fig. 4 forms synoptic diagram for the structure of an embodiment of the cancellation element of take over party's ground unrest of the present invention, comprising: adder Module 401, D/A conversion module 402, earphone 403, voice transfer passage 404, microphone 405, A/D conversion module 406, sef-adapting filter 407 and Noise Estimation module 408.Wherein, adder Module 401 is used for transmit leg voice signal s (n) that voice communication terminal is received and take over party's ambient noise signal estimated value of antiphase
Superpose; D/A conversion module 402 is used for digital signal is converted to simulating signal, abbreviates digital-to-analog conversion as; Earphone 403 is players of a kind of signal that plays sound, is used to play the signal after take over party's ambient noise signal stack of voice signal and antiphase, also can substitute earphone as player with loudspeaker; Voice transfer passage 404 is used for giving the take over party with transmission of sound signals, and voice and noise superpose on voice transfer passage 404; Microphone 405 is sensing devices of a kind of collected sound signal, is used for received speech signal and offsets the remaining ground unrest in back; A/D conversion module 406 is used for simulating signal is sampled, and being about to analog signal conversion is digital signal, abbreviates analog to digital conversion as; Sef-adapting filter 407 is used for estimating the noise signal value of the signal that collects; Noise Estimation module 408 is used for the estimated value of projected background noise.
As shown in Figure 4, the transmit leg voice signal that voice communication terminal is received sends D/A conversion module 402 to through adder Module 401,402 pairs of signals of receiving of D/A conversion module carry out the conversion of digital signal to simulating signal, and the simulating signal after will changing is exported to earphone 403.Earphone 403 plays back the simulating signal of receiving, and sends take over party and microphone 405 to by voice transfer passage 404, and voice transfer passage 404 also sends take over party's ground unrest v to take over party and microphone 405 simultaneously.
The estimated value of 401 couples of voice signal s of adder Module (n) and ambient noise signal
Superpose, obtain signal
And this signal exported to D/A conversion module 402, play back by earphone 403 again.Ground unrest estimated value in the signal that earphone 403 plays out
V cancels out each other with take over party's ground unrest, and making the sound that is sent to take over party and microphone 405 mainly is voice signal and some remaining noises in counteracting back.
The concrete structure of sef-adapting filter 407 as shown in Figure 5.Wherein, the x (n) that comprises voice signal and noise signal, filter segment through sef-adapting filter 407, recover the best estimate (n) of voice signal s (n), the inhibit signal s (n-Δ) of the best estimate (n) of voice signal s (n) and voice signal s (n) subtracts each other, and obtains the error signal of being asked
Sef-adapting filter 407 adopts LMS algorithm, its weight w
i(n) by error signal
Regulate, wherein, 0≤i≤M-1, M are the exponent numbers of wave filter.Because voice signal is uncorrelated with ambient noise signal, adjust the weight w of wave filter
i(n) make
The square error minimum, just can obtain the best estimate (n) of voice signal s (n) among the x (n) under minimum mean square error criterion, also just think simultaneously
It is the best estimate of residual noise signal after ground unrest disappears mutually.Wherein Δ is the delay of voice signal, can obtain according to the minimum mean square error criterion search.Certainly, sef-adapting filter 407 also can adopt other adaptive algorithm and optimum criterion.
In order to make the better effects if of noise cancellation, the quantity of earphone 403 and microphone 405 can be for a plurality of among Fig. 4, and the quantity of earphone and microphone (MIC) can be different, and the position of microphone is the zone of offsetting noise in hope.Usually, wish that the zone of offsetting noise is meant around the earphone when answering the call, but when other is used, exception is arranged also.Such as, in bed, iff mobile phone being treated as an instrument that reduces ambient noise, this zone just can be bigger.With an earphone and three microphones is example, and the arrangement mode between them as shown in Figure 6.Wherein, in the middle of earphone was positioned at, three microphones became 120 degree angular distribution around being positioned at earphone.
The signal that a plurality of microphones receive simultaneously sends sef-adapting filter to after can superposeing, and also can send sef-adapting filter separately to, is handled respectively by sef-adapting filter.Stack if desired then need increase a superimposer in corresponding position in apparatus of the present invention.Such as, the output signal of a plurality of microphones can be superimposed before carrying out the A/D conversion, then superimposer is arranged between microphone and the A/D conversion module; Also can be superimposed after the A/D conversion carrying out, then superimposer is arranged between A/D conversion module and the sef-adapting filter.In addition, can also deliver to sef-adapting filter respectively after carrying out the A/D conversion handles respectively.
Based on device shown in Figure 4, the ground unrest removing method that the present invention is used for voice communication terminal may further comprise the steps as shown in Figure 7:
Wherein, the microphone that is used for acquired signal can be one or more, and just acquired signal can be one or more.When using a plurality of microphone acquired signal, the signal of a plurality of microphones outputs can be stacked up earlier, carry out A/D conversion and output again; Also the signal of a plurality of microphone outputs can be carried out the A/D conversion respectively earlier, output again stacks up; Perhaps also the signal of a plurality of microphone outputs can be carried out the A/D conversion respectively, output respectively then.
Signal for a plurality of microphone outputs carries out the situation that sef-adapting filter is exported in the A/D conversion more respectively respectively, need carry out auto adapted filtering respectively to each road signal and handle.Here be that example is carried out simple declaration with earphone of three microphones.
For example, the signal of three microphone receptions is handled under minimum mean square error criterion through sef-adapting filter respectively, obtains the estimated value of three noise signals
With
Calculate then
Or
Wherein max is the maximizing computing, and sum is a summation operation.That is to say, can select auto adapted filtering to handle the maximal value in three estimated values that the back obtains or three estimated values stacks are exported as the auto adapted filtering result.Because the delay difference of each road signal needs elder generation to each road noise signal estimated value, such as
With
Carry out synchronous processing, select again or stack.
Because people's ear feels not to be that power with sound is directly proportional to sound, but and the decibels of sound be directly proportional, so, also can be right
Absolute value take the logarithm, promptly
Then so that
Minimum is an optiaml ciriterion.Correspondingly, for the situation of multichannel input, also can be to each
Absolute value take the logarithm, again the summation, promptly
Then so that
Minimum is an optiaml ciriterion.
The estimated value of the noise signal prediction real background noise signal that step 703, basis obtain; The simplest Forecasting Methodology is:
Wherein,
Be current ambient noise signal estimated value,
Be the ambient noise signal estimated value of previous moment,
Best estimate for the noise signal that obtains through auto adapted filtering.
Voice signal and take over party's ground unrest of step 705, earphone output superpose when voice transfer, offset ground unrest wherein, and the take over party obtains the transmit leg voice signal after the de-noising.
Such scheme goes for the fixed communication terminal equally, its difference only is: because the signal that the existing fixed communication terminal is received is a simulating signal, therefore, need earlier the analog signal conversion of receiving to be become digital signal, carry out Noise Estimation and denoising Processing again; Correspondingly, as shown in Figure 8, need increase an A/D modular converter 800 before apparatus of the present invention transmit leg voice signal input end, the analog signal conversion that is used for input is a digital signal.
From such scheme as can be seen, handle the residual noise that can obtain after the process noise disappears mutually by auto adapted filtering, handle constantly stack by noise prediction again, just can estimate take over party's ground unrest, take over party's ground unrest with the take over party's ground unrest estimating to obtain and reality offsets processing then, and then can reduce the interference of ground unrest to the recipient.
In a word, the above only is preferred embodiment of the present invention, and is in order to restriction the present invention, within the spirit and principles in the present invention not all, any modification of being done, is equal to replacement, improvement etc., all should be included within protection scope of the present invention.
Claims (12)
1, a kind of cancellation element of voice communication terminal ground unrest comprises:
The D/A conversion module is used for digital signal is converted to simulating signal and output;
Player is used to receive the simulating signal of described D/A conversion module output and play;
It is characterized in that this device also comprises:
The sound sensor device is used to gather sound and take over party's ground unrest of described player plays and export;
The A/D conversion module is used for the analog signal conversion of described sound sensor device output is become digital signal and output;
Sef-adapting filter is used to receive the digital signal of transmit leg voice signal and described A/D conversion module output, estimates noise signal and output in the digital signal of described A/D conversion module output;
The Noise Estimation module is used for take over party's ambient noise signal prediction current time take over party's ambient noise signal and output according to the noise signal and the previous moment of described sef-adapting filter output;
Adder Module is used for the current time take over party ambient noise signal and the transmit leg voice signal of described Noise Estimation module output are carried out the antiphase stack, and exports to described D/A conversion module.
2, device according to claim 1 is characterized in that, described sound sensor device comprises at least one microphone.
3, device according to claim 2 is characterized in that, this device further comprises superimposer, and described superimposer is used for the simulating signal that a plurality of microphones are exported being superposeed and exporting to the A/D conversion module between microphone and A/D conversion module;
Perhaps described superimposer is used for that a plurality of microphones are exported to the signal A/D conversion module, that carried out respectively after the analog to digital conversion by the A/D conversion module and superposes, and export to sef-adapting filter between A/D conversion module and sef-adapting filter.
4, device according to claim 2 is characterized in that, described A/D conversion module carries out analog to digital conversion respectively for the signal to a plurality of microphone outputs and exports to the A/D conversion module of sef-adapting filter respectively; Described sef-adapting filter is multiple signals that receive described A/D conversion module output and the sef-adapting filter that carries out Filtering Processing respectively.
5, device according to claim 1 is characterized in that, described player comprises at least one earphone or loudspeaker.
6, a kind of removing method of voice communication terminal ground unrest is characterized in that, this method may further comprise the steps:
A. gather voice signal and take over party's ambient noise signal that voice communication terminal sends;
B. estimate noise signal the voice signal that sends from the voice communication terminal that collects and the take over party's ambient noise signal, and according to take over party's ambient noise signal prediction current time take over party ambient noise signal of described noise signal and previous moment;
C. the transmit leg voice signal of receiving with voice communication terminal after the take over party's ambient noise signal antiphase that prediction is obtained superposes, and the signal after will superposeing carries out noise with actual take over party's ground unrest and disappears mutually.
7, method according to claim 6 is characterized in that, described step a further comprises:
Gather multiple signals simultaneously, and the multiple signals that collect are superposeed, then stack result is carried out analog to digital conversion and output;
Perhaps, gather multiple signals simultaneously, respectively the multiple signals that collect are carried out analog to digital conversion, then transformation result is superposeed and export.
8, method according to claim 6, it is characterized in that, described step b comprises: the reference signal that the transmit leg voice signal of receiving with voice communication terminal is handled as auto adapted filtering, utilize auto adapted filtering to handle the noise signal estimated value that obtains in the digital signal, utilize the estimated value of this noise signal estimated value prediction take over party ambient noise signal then.
9, method according to claim 6 is characterized in that, described step a further comprises: gather multiple signals simultaneously, respectively multiple signals are carried out analog to digital conversion and output respectively; Correspondingly, described step b further comprises: the every way word signal to output carries out the auto adapted filtering processing respectively, obtain the noise signal estimated value in every way word signal, utilize the estimated value of the noise signal estimated value prediction take over party ambient noise signal that obtains.
10, according to Claim 8 or 9 described methods, it is characterized in that, describedly utilize auto adapted filtering to handle the method that obtains noise signal to be: utilize least-mean-square error algorithm to obtain the estimated value of noise signal.
11, method according to claim 10, it is characterized in that, this method further comprises: the multichannel input signal is carried out auto adapted filtering respectively handle, and select to handle maximal value in resulting a plurality of result or this all result sums estimated value as noise signal through auto adapted filtering.
12, according to Claim 8 or 9 described methods, it is characterized in that the method for described prediction take over party ambient noise signal estimated value is: the ambient noise signal estimated value of current time is the ambient noise signal estimated value of previous moment and the noise signal estimated value sum of handling acquisition through auto adapted filtering.
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| CNB2004100585789A CN100337270C (en) | 2004-08-18 | 2004-08-18 | Device and method for eliminating voice communication terminal background noise |
| EP05774479A EP1768109A4 (en) | 2004-08-18 | 2005-08-18 | A background noise eliminate device and method for speech communication terminal |
| PCT/CN2005/001289 WO2006017993A1 (en) | 2004-08-18 | 2005-08-18 | A background noise eliminate device and method for speech communication terminal |
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Also Published As
| Publication number | Publication date |
|---|---|
| CN1737905A (en) | 2006-02-22 |
| WO2006017993A1 (en) | 2006-02-23 |
| EP1768109A4 (en) | 2007-05-02 |
| EP1768109A1 (en) | 2007-03-28 |
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