CN111128218B - Echo cancellation method and device - Google Patents
Echo cancellation method and device Download PDFInfo
- Publication number
- CN111128218B CN111128218B CN201911416492.1A CN201911416492A CN111128218B CN 111128218 B CN111128218 B CN 111128218B CN 201911416492 A CN201911416492 A CN 201911416492A CN 111128218 B CN111128218 B CN 111128218B
- Authority
- CN
- China
- Prior art keywords
- sub
- echo cancellation
- paths
- band
- audio signals
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
Images
Classifications
-
- 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
-
- 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
- G10L21/0216—Noise filtering characterised by the method used for estimating noise
-
- 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
-
- 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
- G10L2021/02082—Noise filtering the noise being echo, reverberation of the speech
-
- 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
- G10L21/0216—Noise filtering characterised by the method used for estimating noise
- G10L2021/02161—Number of inputs available containing the signal or the noise to be suppressed
- G10L2021/02165—Two microphones, one receiving mainly the noise signal and the other one mainly the speech signal
Abstract
The embodiment of the invention provides an echo cancellation method and device, wherein the method comprises the following steps: performing subband decomposition on the audio signal from the microphone according to a first preset decomposition rule to obtain N paths of subband audio signals; carrying out adaptive echo cancellation processing on N paths of sub-band audio signals through N adaptive echo cancellation filters to obtain N paths of filtered sub-band audio signals, wherein one adaptive echo cancellation filter processes one path of sub-band audio signal; and synthesizing the N paths of filtered sub-band audio signals into an audio signal subjected to adaptive echo cancellation according to a preset combination rule. The embodiment of the invention reduces the data sampling rate by carrying out sub-band decomposition on the audio signal input into the microphone, thereby reducing the complexity of echo cancellation of each path of audio signal in a multi-path echo cancellation algorithm and reducing the power consumption of a system.
Description
Technical Field
The present invention relates to the field of noise reduction processing, and in particular, to an echo cancellation method and apparatus.
Background
In order to reduce algorithm complexity, an existing intelligent headset generally isolates a loudspeaker from a microphone, so that echoes received by the microphone are as few as possible, and in addition, the volume of the loudspeaker is reduced, so that the echoes are further reduced. Some intelligent earphones do not limit the volume of the loudspeaker, but when echo is large, a user instruction cannot be recognized by a local recognition library. In addition, for good noise reduction experience, the three-microphone or two-microphone noise reduction scheme can significantly improve the recognition rate in a noise environment, but this also means that multi-path echo cancellation is required, the algorithm complexity is improved, the system operation load is increased, the power consumption is improved, and the service time of the earphone after one-time charging is reduced.
Disclosure of Invention
In view of this, an embodiment of the present invention provides an echo cancellation method and apparatus, so as to solve the following problems in the prior art: in the three-microphone or double-microphone noise reduction scheme, the complexity of a multi-path echo cancellation algorithm is higher, the system operation load is increased, the power consumption is improved, and the service time of the earphone after one-time charging is reduced.
In one aspect, an embodiment of the present invention provides an echo cancellation method, including: performing subband decomposition on the audio signal from the microphone according to a first preset decomposition rule to obtain N paths of subband audio signals; performing adaptive echo cancellation processing on the N paths of sub-band audio signals through N adaptive echo cancellation filters to obtain N paths of filtered sub-band audio signals, wherein one path of the sub-band audio signal is processed by one adaptive echo cancellation filter; and synthesizing the N paths of filtered sub-band audio signals into an audio signal subjected to adaptive echo cancellation according to a preset combination rule.
In some embodiments, the adaptively echo canceling N channels of the subband audio signals by N adaptive echo canceling filters to obtain N channels of filtered subband audio signals includes: acquiring N paths of sub-band echo reference signals, wherein the sub-band echo reference signals are signals obtained by decomposing echo reference signals according to a second preset decomposition rule; and performing adaptive echo cancellation processing on the N paths of sub-band audio signals through the N adaptive echo cancellation filters and the N paths of sub-band echo reference signals to obtain N paths of filtered sub-band audio signals, wherein one path of the sub-band audio signals is processed by one path of the sub-band echo reference signals by one path of the adaptive echo cancellation filter.
In some embodiments, the performing adaptive echo cancellation processing on the N channels of subband audio signals through the N adaptive echo cancellation filters and the N channels of subband echo reference signals to obtain N channels of filtered subband audio signals includes: sequentially updating the filter coefficients of M self-adaptive echo cancellation filters in the N self-adaptive echo cancellation filters according to a preset time interval, wherein M is a positive integer smaller than N; performing echo cancellation processing on the M paths of sub-band audio signals through the M adaptive echo cancellation filters for updating filter coefficients and the M paths of sub-band echo reference signals to obtain M paths of filtered sub-band audio signals; and carrying out adaptive echo cancellation processing on the other N-M paths of subband audio signals through N-M adaptive echo cancellation filters with filter coefficients not updated and other N-M paths of subband echo reference signals to obtain the N-M filtered subband audio signals.
In some embodiments, M has a value of 1.
In some embodiments, the adaptive echo cancellation filter is a FIR filter.
On the other hand, an embodiment of the present invention provides an audio processing apparatus, including: the decomposition module is used for carrying out sub-band decomposition on the audio signal from the microphone according to a first preset decomposition rule so as to obtain N paths of sub-band audio signals; the adaptive echo cancellation module is configured to perform adaptive echo cancellation processing on N channels of the subband audio signals through N adaptive echo cancellation filters to obtain N channels of filtered subband audio signals, where one of the adaptive echo cancellation filters processes one channel of the subband audio signal; and the synthesis module is used for synthesizing the N paths of filtered sub-band audio signals into audio signals subjected to adaptive echo cancellation according to a preset combination rule.
In some embodiments, the adaptive echo cancellation module comprises: the device comprises an acquisition unit, a processing unit and a processing unit, wherein the acquisition unit is used for acquiring N paths of sub-band echo reference signals, and the sub-band echo reference signals are signals obtained by decomposing the echo reference signals according to a second preset decomposition rule; and the adaptive echo cancellation unit is configured to perform adaptive echo cancellation processing on the N channels of subband audio signals through the N adaptive echo cancellation filters and the N channels of subband echo reference signals to obtain N channels of filtered subband audio signals, where one of the adaptive echo cancellation filters uses one of the channels of subband echo reference signals to process one of the channels of subband audio signals.
In some embodiments, the adaptive echo cancellation unit is specifically configured to: sequentially updating the filter coefficients of M self-adaptive echo cancellation filters in the N self-adaptive echo cancellation filters according to a preset time interval, wherein M is a positive integer smaller than N; performing echo cancellation processing on the M paths of sub-band audio signals through the M adaptive echo cancellation filters for updating filter coefficients and the M paths of sub-band echo reference signals to obtain M paths of filtered sub-band audio signals; and carrying out self-adaptive echo cancellation processing on the other N-M paths of sub-band audio signals through N-M self-adaptive echo cancellation filters with filter coefficients not updated and other N-M paths of sub-band echo reference signals to obtain the N-M paths of filtered sub-band audio signals.
In some embodiments, M has a value of 1.
In some embodiments, the adaptive echo cancellation filter is a FIR filter.
The embodiment of the invention reduces the data sampling rate by carrying out sub-band decomposition on the audio signal input into the microphone, thereby reducing the complexity of echo cancellation of each path of audio signal in a multi-path echo cancellation algorithm and reducing the power consumption of a system.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below, it is obvious that the drawings in the following description are only some embodiments described in the present invention, and for those skilled in the art, other drawings can be obtained according to these drawings without creative efforts.
Fig. 1 is a flowchart of an echo cancellation method according to a first embodiment of the present invention;
fig. 2 is a schematic structural diagram of an echo cancellation device according to a second embodiment of the present invention;
fig. 3 is a schematic diagram of an implementation of an echo cancellation device according to a second embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the drawings of the embodiments of the present invention. It is to be understood that the embodiments described are only a few embodiments of the present invention, and not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the described embodiments of the invention without inventive step, are within the scope of protection of the invention.
Unless defined otherwise, technical or scientific terms used herein shall have the ordinary meaning as understood by one of ordinary skill in the art to which this invention belongs. The use of "first," "second," and similar terms in the present application do not denote any order, quantity, or importance, but rather the terms are used to distinguish one element from another. The word "comprising" or "comprises", and the like, means that the element or item listed before the word covers the element or item listed after the word and its equivalents, but does not exclude other elements or items. The terms "connected" or "coupled" and the like are not restricted to physical or mechanical connections, but may include electrical connections, whether direct or indirect. "upper", "lower", "left", "right", and the like are used merely to indicate relative positional relationships, and when the absolute position of the object being described is changed, the relative positional relationships may also be changed accordingly.
To maintain the following description of the embodiments of the present invention clear and concise, a detailed description of known functions and known components of the invention have been omitted.
A first embodiment of the present invention provides an echo cancellation method, where the flow of the method is shown in fig. 1, and the method includes steps S101 to S103:
s101, performing subband decomposition on the audio signal from the microphone according to a first preset decomposition rule to obtain N paths of subband audio signals.
In the prior art, an audio signal from a microphone is directly input into a self-adaptive echo cancellation filter for self-adaptive echo cancellation processing, so that an audio signal subjected to the self-adaptive echo cancellation processing is obtained; however, the embodiment of the present invention improves the process by performing subband decomposition on the audio signal from one microphone according to the first predetermined decomposition rule to split the audio signal into multiple paths of subband audio signals, and the data sampling rate is reduced by means of subband decomposition.
S102, performing adaptive echo cancellation processing on the N paths of sub-band audio signals through N adaptive echo cancellation filters to obtain N paths of filtered sub-band audio signals, wherein one adaptive echo cancellation filter processes one path of sub-band audio signal.
Since the audio signal is decomposed into N paths of subband audio signals, in order to implement the adaptive echo cancellation process, the present embodiment sets N adaptive echo cancellation filters. In the process, each path of subband audio signal after subband decomposition is respectively input into a corresponding adaptive echo cancellation filter, so that adaptive echo cancellation processing of each path of subband audio signal is realized.
S103, synthesizing the N filtered sub-band audio signals into the audio signal after the adaptive echo cancellation according to a preset combination rule.
And when the N paths of sub-band audio signals are filtered, combining the N paths of filtered sub-band audio signals according to a preset combination rule so as to obtain the audio signal subjected to the self-adaptive echo cancellation processing.
The embodiment of the invention reduces the data sampling rate by carrying out sub-band decomposition on the audio signal input into the microphone, thereby reducing the complexity of echo cancellation of each path of audio signal in a multi-path echo cancellation algorithm and reducing the power consumption of a system.
Generally, an echo reference signal is adopted to perform echo cancellation processing on an audio signal, and in the process of performing adaptive echo cancellation processing on N paths of subband audio signals through N adaptive echo cancellation filters to obtain N paths of filtered subband audio signals, since the audio signal has been decomposed into N paths of subband audio signals, the echo reference signal also needs to be decomposed according to a second predetermined decomposition rule, so as to obtain N paths of subband echo reference signals.
During implementation, N paths of sub-band echo reference signals are obtained, and N paths of sub-band audio signals are subjected to adaptive echo cancellation processing through N adaptive echo cancellation filters and the N paths of sub-band echo reference signals to obtain N paths of filtered sub-band audio signals, wherein one path of sub-band audio signal is processed by one adaptive echo cancellation filter through one path of sub-band echo reference signal.
When the filter coefficients of the adaptive echo cancellation filter are adjusted, if all the filter coefficients are adjusted together, the system power consumption is increased, and the complexity is high. In order to further reduce the operation complexity, in the process of performing adaptive echo cancellation processing on N paths of subband audio signals by N adaptive echo cancellation filters and N paths of subband echo reference signals, the embodiment of the present invention sequentially updates the filter coefficients of M adaptive echo cancellation filters in the N adaptive echo cancellation filters according to a predetermined time interval, where M is a positive integer smaller than N; then carrying out echo cancellation processing on the M paths of sub-band audio signals through M self-adaptive echo cancellation filters for updating filter coefficients and M paths of sub-band echo reference signals to obtain M paths of filtered sub-band audio signals; and then carrying out self-adaptive echo cancellation processing on other N-M paths of sub-band audio signals through N-M self-adaptive echo cancellation filters with filter coefficients not updated and other N-M paths of sub-band echo reference signals to obtain N-M paths of filtered sub-band audio signals.
By the updating mode of the filter coefficient, the system operation complexity can be greatly reduced, and the self-adaptive echo cancellation processing can be accurately realized.
In a specific implementation, the value of M is preferably 1, that is, the filter coefficient of one adaptive echo cancellation filter of the N adaptive echo cancellation filters is sequentially updated according to a predetermined time interval; performing echo cancellation processing on one path of sub-band audio signals through a self-adaptive echo cancellation filter for updating a filter coefficient and one path of sub-band echo reference signals to obtain one path of filtered sub-band audio signals; and then the other N-1 paths of sub-band audio signals are subjected to adaptive echo cancellation processing through N-1 adaptive echo cancellation filters with filter coefficients not updated and other N-1 paths of sub-band echo reference signals to obtain N-1 paths of filtered sub-band audio signals.
The adaptive echo cancellation filter described above is preferably a FIR filter so as not to occupy the system main frequency.
The above process is exemplified below with reference to specific embodiments.
The embodiment of the invention provides a low-power-consumption echo cancellation method, which adopts a sub-band decomposition-based mode to reduce the data sampling rate, further reduce the length of a self-adaptive echo cancellation filter of each sub-band, update the filter coefficient in a rotation mode among the sub-bands, update the filter coefficient of the self-adaptive echo cancellation filter by only one sub-band at a time, fix the coefficients of other sub-bands, reduce the operation complexity required by an echo suppression algorithm, reduce the clock frequency required by system operation, further reduce the system power consumption and prolong the standby time.
When the method is implemented, the microphone input audio signal d (n) is subjected to sub-band decomposition to obtain a sub-band audio signal d k (n), obtaining the sub-band echo reference signal u by sub-band decomposition of the echo reference signal u (n) k (n), assuming that there are L subbands, the signal processed by the subband adaptive echo cancellation filter is e k And (n) obtaining the final output e (n) of the system through subband synthesis. The specific process is as follows:
U k (n)＝[u k (n),u k (n-1),u k (n-2),u k (n-3),......,u k (n-m+1)]； (2)
W k (n)＝[w k (n),w k (n-1),w k (n-2),w k (n-3),......,w k (n-m+1)]； (3)
wherein d is k (n) denotes each subband audio signal obtained by subband decomposition of the microphone input audio signal, and k is a subscript of the subband.
u k And (n) represents each sub-band echo reference signal obtained by sub-band decomposition of the echo reference signal, and k is a subscript of the sub-band.
W k (n) is a vector comprising the filter coefficients of the adaptive echo cancellation filter for k subbands, and m represents the filter length for each subband. w is a k And (n) represents a filter coefficient of each adaptive echo cancellation filter.
U k (n) is a vector consisting of the sub-band echo reference signals at time n to n-m + 1. e.g. of the type k (n) represents data after the k-th subband echo cancellation.
Equation (4) is a filter coefficient update equation of the adaptive echo cancellation filter for the kth subband. From the filter coefficient W at time n k (n) obtaining the filter coefficient W at the n +1 th moment through the calculation of the formula (4) k (n + 1). μ is the update step size and δ is the normalization parameter.
The L adaptive filter update operations in the present invention, as shown in equation (4), are not performed at the same time. The parameters of only one subband are updated per time slice. The adaptive echo cancellation filters for the other subbands only perform the operation of equation (1).
The embodiment of the invention utilizes the characteristic that the echo path of the earphone is relatively stable within relatively short time, reduces the data sampling rate by a sub-band decomposition mode, updates the filter coefficient of the filter in a rotating way among sub-bands, only one sub-band is subjected to coefficient updating of the self-adaptive echo cancellation filter at a time, and the coefficients of other sub-bands are fixed, thereby reducing the operation complexity required by an echo suppression algorithm.
A second embodiment of the present invention provides an echo canceling device, which is schematically shown in fig. 2, and includes:
a decomposition module 10, configured to perform subband decomposition on an audio signal from a microphone according to a first predetermined decomposition rule to obtain N paths of subband audio signals; an adaptive echo cancellation module 20, coupled to the decomposition module 10, configured to perform adaptive echo cancellation processing on the N channels of subband audio signals through N adaptive echo cancellation filters to obtain N channels of filtered subband audio signals, where one adaptive echo cancellation filter processes one channel of subband audio signal; and a synthesizing module 30, coupled to the adaptive echo cancellation module 20, for synthesizing the N filtered subband audio signals into an audio signal after adaptive echo cancellation processing according to a predetermined combining rule.
The audio signal is usually processed by echo cancellation using an echo reference signal, and therefore, the adaptive echo cancellation module may include: the acquisition unit is used for acquiring N paths of sub-band echo reference signals, and the sub-band echo reference signals are signals obtained by decomposing the echo reference signals according to a second preset decomposition rule; and the self-adaptive echo cancellation unit is used for carrying out self-adaptive echo cancellation processing on the N paths of sub-band audio signals through the N self-adaptive echo cancellation filters and the N paths of sub-band echo reference signals to obtain N paths of filtered sub-band audio signals, wherein one self-adaptive echo cancellation filter uses one path of sub-band echo reference signal to process one path of sub-band audio signal.
When the filter coefficients of the adaptive echo cancellation filter are adjusted, if all the filter coefficients are adjusted together, the system power consumption is increased, and the complexity is high. In order to further reduce the computation complexity, the adaptive echo cancellation unit may be specifically configured to: sequentially updating the filter coefficients of M self-adaptive echo cancellation filters in the N self-adaptive echo cancellation filters according to a preset time interval, wherein M is a positive integer smaller than N; carrying out echo cancellation processing on the M paths of sub-band audio signals through M adaptive echo cancellation filters for updating filter coefficients and M paths of sub-band echo reference signals to obtain M paths of filtered sub-band audio signals; and carrying out adaptive echo cancellation processing on other N-M paths of sub-band audio signals through N-M adaptive echo cancellation filters with filter coefficients not updated and other N-M paths of sub-band echo reference signals to obtain N-M filtered sub-band audio signals.
By the updating mode of the filter coefficient, the system operation complexity can be greatly reduced, and the self-adaptive echo cancellation processing can be accurately realized.
In specific implementation, the value of M is preferably 1; the adaptive echo cancellation filter is a FIR filter.
The above device is exemplified with reference to fig. 3, and in this embodiment, M is 1. For clarity, fig. 3 introduces a coefficient update control module, which implements part of the functions of the adaptive echo cancellation module described above, and an adaptive echo cancellation filter implements another part of the functions of the adaptive echo cancellation module.
Fig. 3 is a schematic diagram of an implementation of the echo cancellation device according to this embodiment. The microphone input audio signal is firstly decomposed into sub-bands, and the signals after sub-band decomposition are respectively subjected to self-adaptive echo cancellation processing. And the coefficient updating control module controls the filtering coefficient updating operation of each sub-band in a rotating manner, and the signals after echo cancellation of each sub-band are output after sub-band synthesis. The method comprises the steps of mapping signals to a plurality of sub-bands through a sub-band decomposition module, realizing N times of down-sampling function, enabling the filter length of each sub-band corresponding to down-sampled data to be 1/N of the original length, enabling a coefficient updating control module to control the coefficient updating time of a filter, enabling only one sub-band to be subjected to coefficient updating of an adaptive echo cancellation filter at a time, enabling coefficients of other sub-bands to be fixed, reducing the operation complexity required by an echo suppression algorithm, adopting a hardware IP core-based technology for the sub-band with the fixed filter coefficient at the current moment, carrying out echo cancellation through a hardware FIR filter module, not occupying the main frequency of a system, further reducing the clock frequency required by the system operation, reducing the system power consumption and prolonging the standby time.
The embodiment has the following advantages:
aiming at the defects that the echo suppression algorithm in the existing intelligent earphone, single microphone, double microphones and three microphones has large power consumption and influences the standby time, the technology based on sub-band decomposition is adopted to decompose the signals to each sub-band, and simultaneously, the sub-band signals are subjected to down-sampling, and the echo cancellation is carried out on the down-sampled signals under the low sampling rate, so that the filter length of each sub-band is reduced; the filter coefficients of the filters are updated in a rotating mode on each sub-band, only one sub-band filter carries out self-adaptive filtering at each moment, and other sub-bands carry out fixed coefficient filtering, so that the operation complexity is reduced, and the system power consumption is saved; the defect of the standby time is overcome, the technology based on the hardware IP core is adopted, the echo suppression is carried out by the hardware FIR filter module, the system dominant frequency is not occupied, and the system power consumption is saved.
Moreover, although exemplary embodiments have been described herein, the scope thereof includes any and all embodiments based on the present invention with equivalent elements, modifications, omissions, combinations (e.g., of various embodiments across), adaptations or alterations. The elements of the claims are to be interpreted broadly based on the language employed in the claims and not limited to examples described in the present specification or during the prosecution of the application, which examples are to be construed as non-exclusive. It is intended, therefore, that the specification and examples be considered as exemplary only, with a true scope and spirit being indicated by the following claims and their full scope of equivalents.
The above description is intended to be illustrative, and not restrictive. For example, the above-described examples (or one or more versions thereof) may be used in combination with each other. For example, other embodiments may be utilized by those of ordinary skill in the art upon reading the foregoing description. In addition, in the above-described embodiments, various features may be grouped together to streamline the disclosure. This should not be interpreted as an intention that a disclosed feature not claimed is essential to any claim. Rather, inventive subject matter may lie in less than all features of a particular disclosed embodiment. Thus, the following claims are hereby incorporated into the detailed description as examples or embodiments, with each claim standing on its own as a separate embodiment, and it is contemplated that these embodiments may be combined with each other in various combinations or permutations. The scope of the invention should be determined with reference to the appended claims, along with the full scope of equivalents to which such claims are entitled.
While the embodiments of the present invention have been described in detail, the present invention is not limited to these specific embodiments, and those skilled in the art can make various modifications and variations based on the concept of the present invention, which fall within the scope of the present invention as claimed.
Claims (4)
1. An echo cancellation method for a headset, the headset including a microphone, comprising:
performing subband decomposition on the audio signal from the microphone according to a first preset decomposition rule to obtain N paths of subband audio signals;
acquiring an echo reference signal, and decomposing the echo reference signal according to a second preset decomposition rule to obtain N paths of sub-band echo reference signals corresponding to the N paths of sub-band audio signals;
carrying out adaptive echo cancellation processing on the N paths of sub-band audio signals by using N adaptive echo cancellation filters and N paths of sub-band echo reference signals, wherein each of the N adaptive echo cancellation filters is arranged in one-to-one correspondence with one path of sub-band audio signals and one path of sub-band echo reference signals;
sequentially updating the filter coefficients of M self-adaptive echo cancellation filters in the N self-adaptive echo cancellation filters according to a preset time interval, wherein M is a positive integer greater than 1 and less than N;
performing echo cancellation processing on the M paths of sub-band audio signals through the M adaptive echo cancellation filters for updating filter coefficients and the M paths of sub-band echo reference signals to obtain M paths of filtered sub-band audio signals;
performing adaptive echo cancellation processing on other N-M paths of sub-band audio signals through N-M adaptive echo cancellation filters with filter coefficients not updated and other N-M paths of sub-band echo reference signals to obtain N-M filtered sub-band audio signals, and adopting a hardware-based fixed coefficient FIR filter for the adaptive echo cancellation filters with filter coefficients not updated at the current moment;
and synthesizing the N paths of filtered sub-band audio signals into an audio signal subjected to adaptive echo cancellation according to a preset combination rule.
2. The echo cancellation method of claim 1, wherein the adaptive echo cancellation filter is a FIR filter.
3. An echo cancellation device for use with a headset, the headset including a microphone, comprising:
the decomposition module is used for carrying out sub-band decomposition on the audio signal from the microphone according to a first preset decomposition rule to obtain N paths of sub-band audio signals;
an adaptive echo cancellation module comprising
The acquisition unit is used for acquiring an echo reference signal and decomposing the echo reference signal according to a second preset decomposition rule to obtain N paths of sub-band echo reference signals corresponding to the N paths of sub-band audio signals;
the adaptive echo cancellation unit is used for carrying out adaptive echo cancellation processing on the N paths of sub-band audio signals through N adaptive echo cancellation filters and N paths of sub-band echo reference signals, wherein each of the N adaptive echo cancellation filters is arranged in one-to-one correspondence with one path of sub-band audio signals and one path of sub-band echo reference signals; sequentially updating the filter coefficients of M self-adaptive echo cancellation filters in the N self-adaptive echo cancellation filters according to a preset time interval, wherein M is a positive integer greater than 1 and less than N; performing echo cancellation processing on the M paths of sub-band audio signals through the M adaptive echo cancellation filters for updating filter coefficients and the M paths of sub-band echo reference signals to obtain M paths of filtered sub-band audio signals; carrying out adaptive echo cancellation processing on other N-M paths of sub-band audio signals through N-M adaptive echo cancellation filters with filter coefficients not updated and other N-M paths of sub-band echo reference signals to obtain N-M filtered sub-band audio signals, and adopting a hardware-based fixed coefficient FIR filter for the adaptive echo cancellation filter with the filter coefficients not updated at the current moment;
and the synthesis module is used for synthesizing the N paths of filtered sub-band audio signals into audio signals subjected to adaptive echo cancellation according to a preset combination rule.
4. The echo cancellation device of claim 3, wherein the adaptive echo cancellation filter is a FIR filter.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201911416492.1A CN111128218B (en) | 2019-12-31 | 2019-12-31 | Echo cancellation method and device |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201911416492.1A CN111128218B (en) | 2019-12-31 | 2019-12-31 | Echo cancellation method and device |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN111128218A CN111128218A (en) | 2020-05-08 |
| CN111128218B true CN111128218B (en) | 2022-09-20 |
Family
ID=70506771
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201911416492.1A Active CN111128218B (en) | 2019-12-31 | 2019-12-31 | Echo cancellation method and device |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN111128218B (en) |
Families Citing this family (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112669871A (en) * | 2020-12-30 | 2021-04-16 | 西安讯飞超脑信息科技有限公司 | Signal processing method, electronic device and storage device |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1261742A (en) * | 1999-01-12 | 2000-08-02 | 摩托罗拉公司 | Sub-band echo killer and its method |
| US6628781B1 (en) * | 1999-06-03 | 2003-09-30 | Telefonaktiebolaget Lm Ericsson (Publ) | Methods and apparatus for improved sub-band adaptive filtering in echo cancellation systems |
| CN107888792A (en) * | 2017-10-19 | 2018-04-06 | 浙江大华技术股份有限公司 | A kind of echo cancel method, apparatus and system |
Family Cites Families (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CA2481629A1 (en) * | 2004-09-15 | 2006-03-15 | Dspfactory Ltd. | Method and system for active noise cancellation |
-
2019
- 2019-12-31 CN CN201911416492.1A patent/CN111128218B/en active Active
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1261742A (en) * | 1999-01-12 | 2000-08-02 | 摩托罗拉公司 | Sub-band echo killer and its method |
| US6628781B1 (en) * | 1999-06-03 | 2003-09-30 | Telefonaktiebolaget Lm Ericsson (Publ) | Methods and apparatus for improved sub-band adaptive filtering in echo cancellation systems |
| CN107888792A (en) * | 2017-10-19 | 2018-04-06 | 浙江大华技术股份有限公司 | A kind of echo cancel method, apparatus and system |
Also Published As
| Publication number | Publication date |
|---|---|
| CN111128218A (en) | 2020-05-08 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| DK1417756T3 (en) | ADAPTIVE SUBSTRATE SIGNAL PROCESSING IN A SAMPLED FILTER BANK | |
| US8538035B2 (en) | Multi-microphone robust noise suppression | |
| US8781137B1 (en) | Wind noise detection and suppression | |
| CN1223166C (en) | Methods and apparatus for improved sub-band adaptive filtering in echo cancellation systems | |
| CN102576538B (en) | A method and an apparatus for processing an audio signal | |
| US8175871B2 (en) | Apparatus and method of noise and echo reduction in multiple microphone audio systems | |
| JP5221117B2 (en) | Low complexity echo compensation | |
| CN109727604A (en) | Frequency domain echo cancel method and computer storage media for speech recognition front-ends | |
| CN111193977B (en) | Noise reduction method of earphone, self-adaptive FIR filter, noise removal filter bank and earphone | |
| EP2608197A1 (en) | Method, device, and system for noise reduction in multi-microphone array | |
| CN101751918B (en) | Novel silencer and noise reduction method | |
| EP1430472A2 (en) | Selective sound enhancement | |
| CN103219012A (en) | Double-microphone noise elimination method and device based on sound source distance | |
| AU2006344268A1 (en) | Blind signal extraction | |
| Schobben | Real-time adaptive concepts in acoustics: Blind signal separation and multichannel echo cancellation | |
| EP2627065B1 (en) | Multi-receiver end echo cancellation method and system | |
| CN108140396A (en) | Audio signal processing | |
| CN102377454B (en) | Method and device for echo cancellation | |
| CN108694956A (en) | Hearing device and correlation technique with adaptive sub-band beam forming | |
| CN111128218B (en) | Echo cancellation method and device | |
| Wada et al. | Multi-channel acoustic echo cancellation based on residual echo enhancement with effective channel decorrelation via resampling | |
| TW526468B (en) | System and method for eliminating background noise of voice signal | |
| Huang et al. | Subband-based adaptive decorrelation filtering for co-channel speech separation | |
| Spriet et al. | A multichannel subband GSVD based approach for speech enhancement in hearing aids | |
| CN113421582B (en) | Microphone voice enhancement method and device, terminal and storage medium |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |