CN108630219B - Processing system, method and device for echo suppression audio signal feature tracking - Google Patents
Processing system, method and device for echo suppression audio signal feature tracking Download PDFInfo
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Abstract
The embodiment of the invention discloses a processing system, a method and a device for echo suppression audio signal feature tracking. Wherein, this system includes: a sound pickup device, an audio playing device, an echo cancellation device, and a processor; the sound pickup apparatus generates a pickup signal; the audio playing equipment plays the playing signal to the external environment; the echo cancellation device cancels echo signals in the pickup signals according to the estimated echo signals; when the processor detects that the audio playing device is switched from a mute state to a working state, the filter parameters of the adaptive filter updated in real time are obtained, and the current filter parameters of the adaptive filter are determined according to the filter parameters updated in real time and at least one group of prestored alternative filter parameters. The technical scheme of the embodiment of the invention can quickly converge the adaptive filter under the scene of silence mixed between echo signals, so that the adaptive filter enters a stable working state again as soon as possible, the complexity of operation is reduced, and the performance of echo cancellation is improved.
Description
Technical Field
The embodiments of the present invention relate to audio processing technologies, and in particular, to a processing system, method, and apparatus for echo suppression audio signal feature tracking.
Background
When an electronic device (such as a mobile phone, a conference phone or a video call terminal) is used for a call, an acoustic echo phenomenon is often generated. This phenomenon is caused by the fact that sound emitted from the speaker of the electronic device is transmitted through the outside (e.g., air, solid vibration of the device, external wall reflection, etc.), and then picked up by the microphone. Such signals are known as acoustic echoes. The user of the device also sends normal voice to the microphone during the conversation, and the voice signal acquired by the microphone is a mixed signal consisting of the normal voice and echo. The echo necessarily affects the quality of the call and therefore needs to be cancelled.
In the prior art, the most common way to perform echo cancellation is to use an adaptive filter to find echoes according to the characteristics of a reference signal and perform filtering processing on the echoes. Referring to fig. 1, fig. 1 is a schematic diagram of an electronic device with echo characteristics according to the prior art. The dashed box in fig. 1 is the electronic device 140 and the solid box is the wall of the room in which the electronic device 140 is located. The playback signal 105 of the electronic device 140 is played back to the external environment through the speaker 120. The played sound is transmitted through three paths and then picked up by the microphone 110: the local unit solid acoustic signal 102, the acoustic transmission signal 103 directly in the air, and the air transmission signal 104 after the reflection of the wall. While the microphone 110 also needs to pick up the normal speech signal 101 from the user. The pick-up signal 106 of the microphone 110 comprises a mixture of the normal speech signal 101, the local device solid acoustic signal 102, the direct acoustic transmission signal 103 in the air and the air transmission signal 104 after reflection by walls. The echo cancellation module 130 of the electronic device 140 functions to estimate the echo audio characteristics by using the played audio signal 105 as an input reference signal through an adaptive filter, and eliminate or reduce the influence of the solid acoustic signal 102, the acoustic transmission signal 103 directly in the air, and the air transmission signal 104 reflected by a wall from the pickup signal 106 as much as possible, so that the output signal 107 of the echo cancellation module 130 only maintains the content of the normal speech signal 101 as much as possible.
In the process of implementing the invention, the inventor finds that the following defects exist in the prior art: the adaptive filter tracks the characteristic change of the playing signal of the loudspeaker in real time, the filter coefficient is updated in a self-adaptive mode, and when the adaptive filter converges gradually, the output estimated echo signal can be compared with the simulated close echo signal. When the playing signal of the loudspeaker is discontinuous, the echo signal is also discontinuous (in fact, most of the played contents are discontinuous except for one song). I.e. silence is interspersed between echo signals. Muting can have an effect on the adaptive filter capturing echo signal characteristics. Longer periods of silence may cause the adaptive filter that has converged to a stable operating state to diverge. When the next echo comes, the adaptive filter needs to be converged again, so that convergence delay is caused, the accuracy of tracking echo signal characteristics by the adaptive filter is reduced, and the working stable state of the adaptive filter and the performance of echo cancellation are influenced. Meanwhile, the complexity of the operation is increased due to repeated convergence of the adaptive filter.
Disclosure of Invention
The invention provides a processing system, a method and a device for echo suppression audio signal feature tracking, which can quickly converge an adaptive filter under the scene that silence is mixed between echo signals, so that the adaptive filter enters a stable working state again as soon as possible, the complexity of operation is reduced, and the performance of echo cancellation is improved.
In a first aspect, an embodiment of the present invention provides a processing system for echo suppression audio signal feature tracking, including: a sound pickup device, an audio playing device, an echo cancellation device, and a processor;
the sound pickup device is used for picking up sound information in an external environment and generating a pickup signal;
the audio playing device is used for playing the playing signal to the external environment;
an echo cancellation device including an adaptive filter for canceling an echo signal in a picked-up sound signal based on an estimated echo signal output from the adaptive filter;
the adaptive filter is used for updating the filter parameters in real time according to the playing signal so as to output an estimated echo signal;
and the processor is used for acquiring the filter parameters updated by the adaptive filter in real time when the audio playing device is detected to be switched from the mute state to the working state, and determining the current filter parameters of the adaptive filter according to the filter parameters updated in real time and at least one group of prestored alternative filter parameters.
In a second aspect, an embodiment of the present invention further provides a processing method for echo suppression audio signal feature tracking, which is applied to an audio processing system provided in the embodiment of the present invention, and includes:
when detecting that the audio playing equipment is switched from a mute state to a working state, acquiring filter parameters updated by the adaptive filter in real time;
and determining the current filter parameters of the adaptive filter according to the filter parameters updated in real time and at least one group of prestored alternative filter parameters.
In a third aspect, an embodiment of the present invention further provides a processing apparatus for echo suppressed audio signal feature tracking, including:
the parameter acquisition module is used for acquiring filter parameters updated by the adaptive filter in real time when the audio playing device is detected to be switched from a mute state to a working state;
and the parameter determining module is used for determining the current filter parameters of the adaptive filter according to the filter parameters updated in real time and at least one group of prestored alternative filter parameters.
In a fourth aspect, an embodiment of the present invention further provides an apparatus, including:
one or more processors;
a storage device for storing one or more programs,
when the one or more programs are executed by the one or more processors, the one or more processors implement the audio processing method provided by the embodiment of the present invention.
In a fifth aspect, an embodiment of the present invention further provides a computer-readable storage medium, on which a computer program is stored, where the computer program is executed by a processor to implement the processing method for echo-suppressed audio signal feature tracking provided by the embodiment of the present invention.
According to the technical scheme of the embodiment of the invention, when the processor detects that the audio playing equipment is switched from a mute state to a working state, the filter parameters updated by the adaptive filter in real time are obtained, the current filter parameters of the adaptive filter are determined according to the filter parameters updated in real time and at least one group of prestored alternative filter parameters, and the adaptive filter can be rapidly converged under the scene that silence is mixed between echo signals, so that the adaptive filter enters a working stable state again as soon as possible, the complexity of operation is reduced, and the performance of echo cancellation is improved.
Drawings
FIG. 1 is a schematic diagram of an electronic device with echo characteristics according to the prior art;
fig. 2 is a schematic structural diagram of a processing system for echo-suppressed audio signal feature tracking according to an embodiment of the present invention;
fig. 3 is a block diagram of a logic structure of an adaptive filter used in a processing system for echo-suppressed audio signal feature tracking according to an embodiment of the present invention;
fig. 4 is a flowchart of a processing method for echo-suppressed audio signal feature tracking according to a second embodiment of the present invention;
fig. 5 is a flowchart of a processing method for echo-suppressed audio signal feature tracking according to a third embodiment of the present invention;
fig. 6 is a flowchart of a processing method for echo-suppressed audio signal feature tracking according to a fourth embodiment of the present invention;
fig. 7 is a block diagram of a processing apparatus for echo-suppressed audio signal feature tracking according to a fifth embodiment of the present invention;
fig. 8 is a schematic structural diagram of an apparatus according to a sixth embodiment of the present invention.
Detailed Description
The present invention will be described in further detail with reference to the accompanying drawings and examples. It is to be understood that the specific embodiments described herein are merely illustrative of the invention and are not limiting of the invention. It should be further noted that, for the convenience of description, only some of the structures related to the present invention are shown in the drawings, not all of the structures.
Example one
Fig. 2 is a schematic structural diagram of a processing system for echo-suppressed audio signal feature tracking according to an embodiment of the present invention, which is applicable to processing an audio signal in this embodiment, and as shown in fig. 2, the processing system for echo-suppressed audio signal feature tracking includes: a sound pickup device 201, an audio playback device 202, an echo cancellation device 203, and a processor 204;
a sound pickup device 201 for picking up sound information in an external environment, generating a sound pickup signal;
an audio playing device 202, configured to play a playing signal into an external environment;
an echo cancellation device 203 including an adaptive filter for canceling an echo signal in the sound pickup signal based on an estimated echo signal output from the adaptive filter;
the adaptive filter is used for updating the filter parameters in real time according to the playing signal so as to output an estimated echo signal;
the processor 204 is configured to, when it is detected that the audio playing apparatus 202 is switched from the mute state to the working state, obtain a filter parameter updated in real time by the adaptive filter, and determine a current filter parameter of the adaptive filter according to the filter parameter updated in real time and at least one set of pre-stored candidate filter parameters.
Wherein the audio playback device 202 plays the playback signal into the external environment. The sound pickup apparatus 201 picks up sound information in the external environment, and generates a picked-up sound signal. The broadcast signal is propagated and then picked up by the sound pickup apparatus 201, that is, the picked-up sound signal picked up by the sound pickup apparatus 201 includes not only sound information but also an echo signal. The echo cancellation device 203 acquires a picked-up sound signal picked up by the sound pickup device 201 and acquires a playback signal of the audio playback device 202. The echo cancellation device 203 comprises an adaptive filter. The adaptive filter updates the filter parameters in real time according to the playing signal and outputs an estimated echo signal. The echo cancellation device 203 cancels the echo signal in the sound pickup signal based on the estimated echo signal output from the adaptive filter. Specifically, the echo cancellation device 203 acquires the picked-up sound signal and the estimated echo signal, and subtracts the estimated echo signal from the picked-up sound signal, which is the echo cancellation process. When the playing signal of the audio playing device 202 is not continuous, the audio playing device 202 switches between the mute state and the working state. When the playing signal of the audio playing device 202 is muted, the audio playing device 202 is in a mute state. When the playing signal of the audio playing device 202 is in the active state, the audio playing device 202 is in the working state. The processor 204 obtains the filter parameter updated by the adaptive filter in real time when detecting that the audio playing device 202 is switched from the mute state to the working state, and determines the current filter parameter of the adaptive filter according to the filter parameter updated in real time and at least one set of pre-stored alternative filter parameters, so as to perform echo cancellation on the picked-up sound signal picked up by the sound pickup device 201 after the audio playing device 202 is switched from the mute state to the working state.
The filter parameters that are updated by the adaptive filter in real time are filter parameters that are updated all the time following the adaptive filter. The alternative filter parameters are filter parameters pre-stored by the processor 204 during the continuous operation of the audio playback device 202. Optionally, the alternative filter parameters include: an alternative filter parameter corresponding to an energy state; the energy states include: a high energy state, a medium energy state, and a low energy state. Specifically, the pre-stored filter parameters include 3 sets of candidate filter parameters: an alternative filter parameter corresponding to a high energy state, an alternative filter parameter corresponding to an intermediate energy state, and an alternative filter parameter corresponding to a low energy state.
Optionally, in the process of determining that the audio playing device 202 is in the continuous working state, the processor 204 intercepts the playing signal of the audio playing device 202 as a local processing signal according to a set time interval, and obtains an energy state of the local processing signal; and updating the alternative filter parameters corresponding to the energy states according to the filter parameters of the adaptive filter under the local processing signals and the energy states of the local processing signals. Specifically, in the process of determining that the audio playing device 202 is in the continuous working state, the processor 204 intercepts the playing signal of the audio playing device 202 as a local processing signal according to a set time interval, and calculates the energy of the local processing signal; the method comprises the steps of obtaining a preset energy judgment threshold, determining the energy state of a local processing signal according to the preset energy judgment threshold and energy, and updating an alternative filter parameter corresponding to the energy state according to the filter parameter of the adaptive filter under the local processing signal and the energy state of the local processing signal. If the energy state of the local processing signal is determined to be a high-energy state, updating the alternative filter parameter corresponding to the high-energy state into the filter parameter of the adaptive filter under the local processing signal; if the energy state of the local processing signal is determined to be the medium energy state, updating the alternative filter parameter corresponding to the medium energy state into the filter parameter of the adaptive filter under the local processing signal; and if the energy state of the local processing signal is determined to be a low energy state, updating the alternative filter parameters corresponding to the low energy state into the filter parameters of the adaptive filter under the local processing signal.
When the processor 204 detects that the audio playing device 202 is switched from the working state to the mute state, the filter parameters updated by the adaptive filter in real time are continuously updated, and the alternative filter parameters corresponding to the high energy state, the medium energy state, and the low energy state are not updated any more and are saved as the alternative filter parameters saved when the audio playing device 202 is in the last working state before the mute state.
Specifically, when detecting that the audio playing device 202 is switched from the mute state to the working state, the processor 204 obtains the filter parameter updated by the adaptive filter in real time, and determines the current filter parameter of the adaptive filter according to the filter parameter updated in real time and at least one set of pre-stored candidate filter parameters, including: when detecting that the audio playing device 202 is switched from the mute state to the working state, the processor 204 obtains a pickup signal and an estimated echo signal corresponding to the filter parameter updated in real time by the adaptive filter, and determines residual error energy corresponding to the filter parameter updated in real time according to the pickup signal and the estimated echo signal; the processor 204 obtains a local pickup signal and a local estimated echo signal corresponding to at least one set of candidate filter parameters, and determines at least one local residual error energy corresponding to at least one set of candidate filter parameters according to the local pickup signal and the local estimated echo signal; and selecting the filter parameter corresponding to the minimum energy value from the residual error energy and the at least one local residual error energy, and determining the filter parameter as the current filter parameter of the adaptive filter. Wherein, the processor 204 determines the residual error energy corresponding to the filter parameter updated in real time according to the pickup signal and the estimated echo signal, and includes: subtracting the estimated echo signal from the pickup signal to obtain a residual error signal corresponding to the filter parameter updated in real time; calculating a square value of each point signal amplitude value of the residual error signal; and summing the square values of the signal amplitude values of all points of the residual error signal to obtain an energy value of the residual error signal, namely residual error energy. Determining, by the processor 204, at least one local residual error energy corresponding to at least one set of candidate filter parameters from the local pickup signal and the locally estimated echo signal comprises: subtracting the local estimation echo signal from the local pickup signal to obtain a local residual error signal corresponding to at least one group of candidate filter parameters; calculating a square value of each point signal amplitude value of the local residual error signal; and summing the square values of the signal amplitude values of all points of the local residual error signal to obtain an energy value of the local residual error signal, namely local residual error energy.
Optionally, the sound pickup device 201 comprises a microphone device.
Optionally, the audio playback device 202 includes a speaker device.
Fig. 3 is a block diagram of a logic structure of an adaptive filter used in a processing system for echo-suppressed audio signal feature tracking according to an embodiment of the present invention. As shown in fig. 3, the playback signal 302 is played back to the outside through the speaker device 320. The playback signal 302 propagates through the real transmission channel 340, and generates an echo signal 303. A valid speech signal 301 emitted by the user is superimposed with an echo signal 303 and picked up by a microphone arrangement 310 to form a picked-up sound signal 305. The adaptive filter parameter adjustment module 330 takes the playing signal 302 as an input reference signal, updates the filter parameters, so that the adaptive filter tracks the characteristic change of the playing signal 302 in real time, establishes the analog transmission model 350, and outputs the estimated echo signal 304. The operation of subtracting the estimated echo signal 304 from the pickup signal 305 is a process of echo cancellation. The effective signal 306 obtained after the echo cancellation process is performed on the pickup signal 305 is fed back to the adaptive filter parameter adjustment module 330, which helps the adaptive filter to stably track the characteristics of the real transmission channel 340 and adaptively adjust the filter parameters step by step, so that the filter converges. The goal after the adaptive filter converges is to make the simulation transmission model 350 gradually approach the real transmission channel 340, so that the estimated echo signal 304 simulates the echo signal 303 to the maximum extent, and the residual echo contained in the effective signal 306 obtained after the echo cancellation process is as small as possible, and approaches the effective speech signal 301 sent by the user as possible.
When echo cancellation is performed on an actual audio signal, the echo residue of a signal obtained after echo cancellation is performed by using the processing system for echo suppression audio signal feature tracking provided by the embodiment is lower than the echo residue of a signal obtained after echo cancellation by using the processing system for echo suppression audio signal feature tracking provided by the conventional embodiment. The processing system for echo suppression audio signal feature tracking provided by the embodiment has obvious advantages in performance. For example, by counting the residual echo energy, the processing system for echo-suppressed audio signal feature tracking according to this embodiment reduces the energy of the residual echo of the signal obtained after echo cancellation by about 2.5 to 4.5dB compared with the processing system for echo-suppressed audio signal feature tracking according to the prior art, thereby improving the performance of echo suppression.
In the processing system for echo suppression audio signal feature tracking provided by this embodiment, when it is detected that the audio playing device is switched from the mute state to the working state, the processor obtains the filter parameter updated in real time by the adaptive filter, and determines the current filter parameter of the adaptive filter according to the filter parameter updated in real time and at least one set of pre-stored alternative filter parameters, so that the adaptive filter can be rapidly converged in a scene where muting is mixed between echo signals, so that the adaptive filter enters a working stable state again as soon as possible, thereby reducing the complexity of operation and improving the performance of echo cancellation.
Example two
Fig. 4 is a flowchart of a processing method for echo suppressed audio signal feature tracking according to a second embodiment of the present invention, where this embodiment is applicable to processing an audio signal, and the method can be applied to the processing system for echo suppressed audio signal feature tracking according to the second embodiment of the present invention. As shown in fig. 4, it specifically includes the following steps:
step 401, when it is detected that the audio playing device is switched from the mute state to the working state, obtaining filter parameters updated by the adaptive filter in real time.
When the processor detects that the audio playing device is switched from a mute state to a working state, the filter parameters updated by the adaptive filter in real time are acquired. The filter parameters that are updated by the adaptive filter in real time are filter parameters that are updated all the time following the adaptive filter.
Step 402, determining the current filter parameters of the adaptive filter according to the filter parameters updated in real time and at least one group of prestored alternative filter parameters.
The alternative filter parameters are filter parameters prestored by the processor when the audio playing device is in the process of continuous working state. Optionally, the alternative filter parameters include: an alternative filter parameter corresponding to an energy state; the energy states include: a high energy state, a medium energy state, and a low energy state. Specifically, the pre-stored filter parameters include 3 sets of candidate filter parameters: an alternative filter parameter corresponding to a high energy state, an alternative filter parameter corresponding to an intermediate energy state, and an alternative filter parameter corresponding to a low energy state.
The processor determines the current filter parameters of the adaptive filter according to the filter parameters updated in real time and at least one group of prestored alternative filter parameters. Specifically, when detecting that the audio playing device is switched from a mute state to a working state, the processor acquires a pickup signal and an estimated echo signal corresponding to a filter parameter updated by the adaptive filter in real time, and determines residual error energy corresponding to the filter parameter updated in real time according to the pickup signal and the estimated echo signal; acquiring a local pickup signal and a local estimation echo signal corresponding to at least one group of candidate filter parameters, and determining at least one local residual error energy corresponding to at least one group of candidate filter parameters according to the local pickup signal and the local estimation echo signal; and in the residual error energy and at least one local residual error energy, selecting the filter parameter corresponding to the minimum energy value to determine as the current filter parameter of the adaptive filter, so as to perform echo cancellation on the pickup signal picked up by the sound pickup device after the audio playing device is switched from the mute state to the working state.
Wherein, the processor determines the residual error energy corresponding to the filter parameter updated in real time according to the pickup signal and the estimated echo signal, and comprises: subtracting the estimated echo signal from the pickup signal to obtain a residual error signal corresponding to the filter parameter updated in real time; calculating a square value of each point signal amplitude value of the residual error signal; and summing the square values of the signal amplitude values of all points of the residual error signal to obtain an energy value of the residual error signal, namely residual error energy. The processor determining at least one local residual error energy corresponding to at least one set of candidate filter parameters from the local pickup signal and the locally estimated echo signal comprises: subtracting the local estimation echo signal from the local pickup signal to obtain a local residual error signal corresponding to at least one group of candidate filter parameters; calculating a square value of each point signal amplitude value of the local residual error signal; and summing the square values of the signal amplitude values of all points of the local residual error signal to obtain an energy value of the local residual error signal, namely local residual error energy.
When echo cancellation is performed on an actual audio signal, the echo residue of a signal obtained after echo cancellation is performed by using the processing method for echo suppression audio signal feature tracking provided by the embodiment is lower than the echo residue of a signal obtained after echo cancellation by using a conventional adaptive filtering method. The processing method for echo suppression audio signal feature tracking provided by the embodiment has obvious advantages in performance. For example, by counting the residual echo energy, the processing method for tracking the echo-suppressed audio signal features provided in this embodiment is used, and the energy of the residual echo of the signal obtained after echo cancellation is reduced by about 2.5-4.5dB compared with the energy of the residual echo obtained by using the conventional adaptive filtering method, thereby improving the performance of echo suppression.
In the processing method for echo suppression audio signal feature tracking provided by this embodiment, when it is detected that the audio playing device is switched from the mute state to the working state, the current filter parameter of the adaptive filter is determined according to the filter parameter updated by the adaptive filter in real time and at least one set of pre-stored alternative filter parameters, so that the adaptive filter can be rapidly converged in a scene where muting is mixed between echo signals, the adaptive filter can re-enter the working stable state as soon as possible, the complexity of operation is reduced, and the performance of echo cancellation is improved.
EXAMPLE III
Fig. 5 is a flowchart of a processing method for echo suppression audio signal feature tracking according to a third embodiment of the present invention, where this embodiment optimizes the processing method for echo suppression audio signal feature tracking based on the foregoing embodiments: in addition to steps 401 and 402, further comprising: in the process of determining that the audio playing equipment is in a continuous working state, intercepting a playing signal of the audio playing equipment as a local processing signal according to a set time interval, and acquiring an energy state of the local processing signal; and updating the alternative filter parameters corresponding to the energy states according to the filter parameters of the adaptive filter under the local processing signals and the energy states of the local processing signals.
As shown in fig. 5, the method includes:
step 501, in the process of determining that the audio playing device is in the continuous working state, intercepting the playing signal of the audio playing device as a local processing signal according to a set time interval, and acquiring the energy state of the local processing signal.
The playing signal is divided into frames in the time domain according to a set time interval, and each frame of playing signal is sequentially acquired as a local processing signal. For example, the set time interval is 10 ms. The playback signal takes 10ms as one frame, and the number of samples of the playback signal per frame is 160 at a sampling rate of 16 kHz.
Optionally, acquiring an energy state of the local processing signal includes: calculating the energy of the local processing signal; and acquiring a preset energy judgment threshold, and determining the energy state of the local processing signal according to the preset energy judgment threshold and the energy.
Wherein calculating the energy of the local processing signal comprises: and calculating the square value of each point signal amplitude value of the local processing signal, and then summing the square values of each point signal amplitude value of the local processing signal to obtain the energy of the local processing signal. The preset energy judgment threshold is a preset judgment threshold. Optionally, the preset energy determination threshold includes an energy range threshold in a high energy state, an energy range threshold in a medium energy state, and an energy range threshold in a low energy state. For example, when it is determined that the energy of the local processing signal is in the range of the high energy state from the energy range threshold of the high energy state, the energy state of the local processing signal is the high energy state.
Step 502, updating the candidate filter parameters corresponding to the energy state according to the filter parameters of the adaptive filter under the local processing signal and the energy state of the local processing signal.
If the energy state of the local processing signal is determined to be a high-energy state, updating the alternative filter parameter corresponding to the high-energy state into the filter parameter of the adaptive filter under the local processing signal; if the energy state of the local processing signal is determined to be the medium energy state, updating the alternative filter parameter corresponding to the medium energy state into the filter parameter of the adaptive filter under the local processing signal; and if the energy state of the local processing signal is determined to be a low energy state, updating the alternative filter parameters corresponding to the low energy state into the filter parameters of the adaptive filter under the local processing signal.
When the processor detects that the audio playing device is switched from the working state to the mute state, the filter parameters updated by the adaptive filter in real time are continuously updated, and the alternative filter parameters corresponding to the high-energy state, the medium-energy state and the low-energy state are not updated any more and are stored as the alternative filter parameters stored when the audio playing device is in the last working state before the mute state.
Step 503, when it is detected that the audio playing device is switched from the mute state to the working state, obtaining the filter parameter updated by the adaptive filter in real time.
Step 504, determining the current filter parameters of the adaptive filter according to the filter parameters updated in real time and at least one group of prestored alternative filter parameters.
In the processing method for echo suppression audio signal feature tracking provided by this embodiment, in the process of determining that the audio playing device is in the continuous working state, the playing signal of the audio playing device is intercepted as a local processing signal according to a set time interval, and the alternative filter parameter corresponding to the energy state is updated according to the filter parameter of the adaptive filter under the local processing signal and the energy state of the local processing signal, so that the pre-stored alternative filter parameter is updated in real time when the audio playing device is continuously in the working state.
Example four
Fig. 6 is a flowchart of a processing method for echo suppression audio signal feature tracking according to a fourth embodiment of the present invention, where this embodiment optimizes the processing method for echo suppression audio signal feature tracking based on the foregoing embodiment: after updating the candidate filter parameters corresponding to the energy state according to the filter parameters of the adaptive filter under the local processing signal and the energy state of the local processing signal, the method further comprises the following steps: acquiring a local pickup signal which is input into an audio processing system simultaneously with a local processing signal and a local estimation echo signal which is output by an adaptive filter under the local processing signal, and correspondingly storing the local pickup signal, the local estimation echo signal and an alternative filter parameter corresponding to the local processing signal;
step 504 is optimized: acquiring pickup signals and estimated echo signals corresponding to filter parameters which are updated in real time; determining residual error energy corresponding to filter parameters updated in real time according to the pickup signal and the estimated echo signal; acquiring local pickup signals and local estimation echo signals corresponding to at least one group of candidate filter parameters; determining at least one local residual error energy corresponding to at least one group of candidate filter parameters according to the local pickup signal and the local estimation echo signal; and selecting the filter parameter corresponding to the minimum energy value from the residual error energy and the at least one local residual error energy, and determining the filter parameter as the current filter parameter of the adaptive filter.
As shown in fig. 6, the method includes:
step 601, in the process of determining that the audio playing device is in the continuous working state, intercepting the playing signal of the audio playing device as a local processing signal according to a set time interval, and acquiring the energy state of the local processing signal.
Step 602, updating the candidate filter parameters corresponding to the energy state according to the filter parameters of the adaptive filter under the local processing signal and the energy state of the local processing signal.
Step 603, obtaining a local pickup signal input to the audio processing system simultaneously with the local processing signal, and a local estimation echo signal output by the adaptive filter under the local processing signal, and correspondingly storing the local pickup signal, the local estimation echo signal, and an alternative filter parameter corresponding to the local processing signal.
The local pickup signal is a pickup signal which is locally processed and is simultaneously input into the audio processing system. The local estimation echo signal is an estimation echo signal output by the adaptive filter after establishing a simulation transmission model according to the alternative filter parameter corresponding to the local processing signal.
When the current filter parameter of the adaptive filter is determined according to the filter parameter updated in real time and at least one group of pre-stored alternative filter parameters, the local residual error energy corresponding to the alternative filter parameter needs to be determined. The local pickup signal, the local estimation echo signal and the alternative filter parameter corresponding to the local processing signal are stored correspondingly, and when the local residual error energy corresponding to the alternative filter parameter corresponding to the local processing signal is determined, calculation is carried out according to the local pickup signal and the local estimation echo signal.
Step 604, when it is detected that the audio playing device is switched from the mute state to the working state, obtaining filter parameters updated by the adaptive filter in real time.
And step 605, acquiring a pickup signal and an estimated echo signal corresponding to the filter parameter updated in real time.
The adaptive filter establishes a simulation transmission model according to the filter updated in real time and outputs an estimated echo signal.
Step 606, determining the residual error energy corresponding to the filter parameters updated in real time according to the pickup signal and the estimated echo signal.
Wherein determining the residual error energy corresponding to the filter parameters updated in real time according to the pickup signal and the estimated echo signal comprises: subtracting the estimated echo signal from the pickup signal to obtain a residual error signal corresponding to the filter parameter updated in real time; calculating a square value of each point signal amplitude value of the residual error signal; and summing the square values of the signal amplitude values of all points of the residual error signal to obtain an energy value of the residual error signal, namely residual error energy.
Step 607, local picked-up signals and local estimated echo signals corresponding to at least one group of candidate filter parameters are obtained.
Wherein, the local pickup signal and the local estimation echo signal which are stored corresponding to the candidate filter parameter corresponding to the local processing signal are acquired.
Wherein determining at least one local residual error energy corresponding to at least one set of candidate filter parameters from the local pickup signal and the locally estimated echo signal comprises: subtracting the local estimation echo signal from the local pickup signal to obtain a local residual error signal corresponding to at least one group of candidate filter parameters; calculating a square value of each point signal amplitude value of the local residual error signal; and summing the square values of the signal amplitude values of all points of the local residual error signal to obtain an energy value of the local residual error signal, namely local residual error energy.
Step 609, in the residual error energy and at least one local residual error energy, selecting the filter parameter corresponding to the minimum energy value to determine the current filter parameter of the adaptive filter.
Wherein the magnitude of the residual error energy and the at least one local residual error energy are compared and sorted. And selecting the filter parameter corresponding to the minimum energy value to determine the current filter parameter of the adaptive filter.
In the processing method for tracking the echo suppressed audio signal feature provided by this embodiment, the residual error energy corresponding to the filter parameter updated in real time and at least one local residual error energy corresponding to at least one group of candidate filter parameters are determined, then the residual error energy and the at least one local residual error energy are compared, and the filter parameter corresponding to the minimum energy value is selected to be determined as the current filter parameter of the adaptive filter, so that the filter parameter with the minimum residual error energy can be used as a new filter parameter, thereby promoting the fast convergence of the adaptive filter and enabling the adaptive filter to re-enter a stable state as soon as possible.
EXAMPLE five
Fig. 7 is a block diagram of a processing apparatus for echo-suppressed audio signal feature tracking according to a fifth embodiment of the present invention. As shown in fig. 7, the apparatus includes:
a parameter acquisition module 701 and a parameter determination module 702.
The parameter obtaining module 701 is configured to obtain a filter parameter updated in real time by the adaptive filter when it is detected that the audio playing device is switched from a mute state to a working state; a parameter determining module 702, configured to determine current filter parameters of the adaptive filter according to the filter parameters updated in real time and at least one set of pre-stored candidate filter parameters.
In the processing apparatus for echo suppression audio signal feature tracking provided in this embodiment, when it is detected that the audio playing device is switched from the mute state to the working state, the current filter parameter of the adaptive filter is determined according to the filter parameter updated by the adaptive filter in real time and at least one set of pre-stored alternative filter parameters, so that the adaptive filter can be rapidly converged in a scene where muting is mixed between echo signals, the adaptive filter enters a working stable state again as soon as possible, the complexity of operation is reduced, and the performance of echo cancellation is improved.
On the basis of the above embodiments, the alternative filter parameters may include: an alternative filter parameter corresponding to an energy state; the energy states may include: a high energy state, a medium energy state, and a low energy state.
On the basis of the foregoing embodiments, the audio processing apparatus may further include:
the signal intercepting module is used for intercepting a playing signal of the audio playing device as a local processing signal according to a set time interval in the process of determining that the audio playing device is in a continuous working state, and acquiring the energy state of the local processing signal;
and the parameter updating module is used for updating the alternative filter parameters corresponding to the energy state according to the filter parameters of the adaptive filter under the local processing signals and the energy state of the local processing signals.
On the basis of the foregoing embodiments, the signal intercepting module may include:
an energy calculation unit for calculating energy of the local processing signal;
and the energy state determining unit is used for acquiring a preset energy judgment threshold value and determining the energy state of the local processing signal according to the preset energy judgment threshold value and the energy.
On the basis of the foregoing embodiments, the audio processing apparatus may further include: the signal storage module is used for acquiring a local pickup signal which is input into the audio processing system simultaneously with the local processing signal and a local estimation echo signal which is output by the self-adaptive filter under the local processing signal, and correspondingly storing the local pickup signal, the local estimation echo signal and an alternative filter parameter corresponding to the local processing signal;
the first signal acquisition unit is used for acquiring a pickup signal and an estimated echo signal corresponding to the filter parameter which is updated in real time;
the first energy determining unit is used for determining residual error energy corresponding to filter parameters updated in real time according to the picked-up sound signals and the estimated echo signals;
the second signal acquisition unit is used for acquiring local pickup signals and local estimation echo signals corresponding to at least one group of candidate filter parameters;
a second energy determining unit, configured to determine at least one local residual error energy corresponding to at least one set of candidate filter parameters according to the local pickup signal and the local estimated echo signal;
and the parameter determining unit is used for selecting the filter parameter corresponding to the minimum energy value from the residual error energy and the at least one local residual error energy to determine the filter parameter corresponding to the current adaptive filter parameter.
The processing device for echo suppression audio signal feature tracking provided by the embodiment of the invention can execute the processing method for echo suppression audio signal feature tracking provided by any embodiment of the invention, and has corresponding functional modules and beneficial effects of the execution method.
EXAMPLE six
Fig. 8 is a schematic structural diagram of an apparatus according to a sixth embodiment of the present invention. FIG. 8 illustrates a block diagram of an exemplary device 812 suitable for use in implementing embodiments of the present invention. The device shown in fig. 8 is only an example and should not bring any limitation to the function and the scope of use of the embodiments of the present invention.
As shown in FIG. 8, device 812 may take the form of a general purpose computing device. Components of device 812 may include, but are not limited to: one or more processors or processing units 816, a system memory 828, and a bus 818 that couples various system components including the system memory 828 and the processing unit 816.
The system memory 828 may include computer system readable media in the form of volatile memory, such as Random Access Memory (RAM)830 and/or cache memory 832. Device 812 may further include other removable/non-removable, volatile/nonvolatile computer system storage media. By way of example only, storage system 834 may be used to read from or write to non-removable, nonvolatile magnetic media (not shown in FIG. 8, often referred to as a "hard disk drive"). Although not shown in FIG. 8, a magnetic disk drive for reading from and writing to a removable, nonvolatile magnetic disk (e.g., a "floppy disk") and an optical disk drive for reading from or writing to a removable, nonvolatile optical disk (e.g., a CD-ROM, DVD-ROM, or other optical media) may be provided. In these cases, each drive may be connected to the bus 818 by one or more data media interfaces. Memory 828 may include at least one program product having a set (e.g., at least one) of program modules that are configured to carry out the functions of embodiments of the invention.
A program/utility 840 having a set (at least one) of program modules 842, including but not limited to an operating system, one or more application programs, other program modules, and program data, may be stored in, for example, memory 828, each of which examples or some combination thereof may include an implementation of a network environment. Program modules 842 generally perform the functions and/or methodologies of the described embodiments of the invention.
The processing unit 816 executes various functional applications and data processing by executing programs stored in the system memory 828, for example, implementing the processing method for echo-suppressed audio signal feature tracking provided by the embodiment of the present invention.
Namely: when detecting that the audio playing equipment is switched from a mute state to a working state, acquiring filter parameters updated by the adaptive filter in real time; and determining the current filter parameters of the adaptive filter according to the filter parameters updated in real time and at least one group of prestored alternative filter parameters.
EXAMPLE seven
The seventh embodiment of the present invention further provides a computer-readable storage medium, on which a computer program is stored, where the computer program, when executed by a processor, implements the processing method for echo suppression audio signal feature tracking provided by the embodiment of the present invention.
Computer storage media for embodiments of the invention may employ any combination of one or more computer-readable media. The computer readable medium may be a computer readable signal medium or a computer readable storage medium. A computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples (a non-exhaustive list) of the computer readable storage medium would include the following: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the context of this document, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device.
A computer readable signal medium may include a propagated data signal with computer readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take many forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device.
Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to wireless, wireline, optical fiber cable, RF, etc., or any suitable combination of the foregoing.
Computer program code for carrying out operations for aspects of the present invention may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, Smalltalk, C + + or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or the connection may be made to an external computer (for example, through the Internet using an Internet service provider).
It is to be noted that the foregoing is only illustrative of the preferred embodiments of the present invention and the technical principles employed. It will be understood by those skilled in the art that the present invention is not limited to the particular embodiments described herein, but is capable of various obvious changes, rearrangements and substitutions as will now become apparent to those skilled in the art without departing from the scope of the invention. Therefore, although the present invention has been described in greater detail by the above embodiments, the present invention is not limited to the above embodiments, and may include other equivalent embodiments without departing from the spirit of the present invention, and the scope of the present invention is determined by the scope of the appended claims.
Claims (9)
1. A processing system for echo suppressed audio signal feature tracking, comprising: a sound pickup device, an audio playing device, an echo cancellation device, and a processor;
the sound pickup equipment is used for picking up sound information in the external environment and generating a pickup signal;
the audio playing device is used for playing a playing signal to an external environment;
the echo cancellation device comprises an adaptive filter and a processing unit, wherein the adaptive filter is used for canceling an echo signal in the pickup signal according to an estimated echo signal output by the adaptive filter;
the adaptive filter is used for updating filter parameters in real time according to the playing signal so as to output an estimated echo signal;
the processor is configured to, when it is detected that the audio playing device is switched from a mute state to a working state, acquire a filter parameter updated by the adaptive filter in real time, and determine a current filter parameter of the adaptive filter according to the filter parameter updated in real time and at least one set of pre-stored alternative filter parameters;
the audio playing device is used for taking the playing signal as a local processing signal and acquiring the energy state of the local processing signal when the audio playing device is detected to be in a continuous working state; updating alternative filter parameters corresponding to the energy state according to filter parameters of the adaptive filter under the local processing signal and the energy state of the local processing signal;
and the adaptive filter is used for stopping updating the alternative filter parameters when the audio playing device is detected to be switched from the working state to the mute state, continuously updating the filter parameters by the adaptive filter, and saving the alternative filter parameters updated when the audio playing device is in the last working state before the mute state.
2. A processing method for echo-suppressed audio signal feature tracking, applied in the processing system of claim 1, comprising:
when detecting that the audio playing equipment is switched from a mute state to a working state, acquiring filter parameters updated by the adaptive filter in real time;
and determining the current filter parameters of the self-adaptive filter according to the filter parameters updated in real time and at least one group of prestored alternative filter parameters.
3. The method of claim 2, wherein the alternative filter parameters comprise: an alternative filter parameter corresponding to an energy state;
the energy states include: a high energy state, a medium energy state, and a low energy state.
4. The method of claim 2, wherein obtaining the energy state of the locally processed signal comprises:
calculating the energy of the local processing signal;
acquiring a preset energy judgment threshold, and determining the energy state of the local processing signal according to the preset energy judgment threshold and the energy.
5. The method of claim 2, further comprising, after updating the alternative filter parameters corresponding to the energy state according to the filter parameters of the adaptive filter under the locally processed signal and the energy state of the locally processed signal:
acquiring a local pickup signal which is input into an audio processing system simultaneously with the local processing signal and a local estimation echo signal which is output by the self-adaptive filter under the local processing signal, and correspondingly storing the local pickup signal, the local estimation echo signal and an alternative filter parameter corresponding to the local processing signal;
determining the current filter parameters of the adaptive filter according to the filter parameters updated in real time and at least one group of prestored alternative filter parameters, including:
acquiring pickup signals and estimated echo signals corresponding to the filter parameters updated in real time;
determining residual error energy corresponding to the filter parameters updated in real time according to the pickup signal and the estimated echo signal;
acquiring the local pickup signal and the local estimation echo signal corresponding to the at least one group of candidate filter parameters;
determining at least one local residual error energy corresponding to the at least one set of candidate filter parameters from the local pickup signal and the locally estimated echo signal;
and selecting the filter parameter corresponding to the minimum energy value from the residual error energy and the at least one local residual error energy to be determined as the current filter parameter of the adaptive filter.
6. A processing apparatus for echo suppressed audio signal feature tracking, comprising:
the parameter acquisition module is used for acquiring filter parameters updated by the adaptive filter in real time when the audio playing device is detected to be switched from a mute state to a working state;
the parameter determining module is used for determining the current filter parameter of the self-adaptive filter according to the filter parameter updated in real time and at least one group of prestored alternative filter parameters;
the audio playing device is used for taking a playing signal as a local processing signal and acquiring the energy state of the local processing signal when the audio playing device is detected to be in a continuous working state; updating alternative filter parameters corresponding to the energy state according to filter parameters of the adaptive filter under the local processing signal and the energy state of the local processing signal;
and the adaptive filter is used for stopping updating the alternative filter parameters when the audio playing device is detected to be switched from the working state to the mute state, continuously updating the filter parameters by the adaptive filter, and saving the alternative filter parameters updated when the audio playing device is in the last working state before the mute state.
7. The apparatus of claim 6, wherein the alternative filter parameters comprise: an alternative filter parameter corresponding to an energy state;
the energy states include: a high energy state, a medium energy state, and a low energy state.
8. An apparatus, characterized in that the apparatus comprises:
one or more processors;
a storage device for storing one or more programs,
when executed by the one or more processors, cause the one or more processors to implement the processing method of echo-suppressed audio signal feature tracking according to any one of claims 2-5.
9. A computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out the processing method of echo suppressed audio signal feature tracking according to any one of claims 2-5.
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| CN110310654A (en) * | 2019-07-26 | 2019-10-08 | 歌尔科技有限公司 | Echo cancel method and device, electronic equipment, readable storage medium storing program for executing |
| CN111128216B (en) * | 2019-12-26 | 2023-05-30 | 上海闻泰信息技术有限公司 | Audio signal processing method, processing device and readable storage medium |
| CN113160840B (en) * | 2020-01-07 | 2022-10-25 | 北京地平线机器人技术研发有限公司 | Noise filtering method, device, mobile equipment and computer readable storage medium |
| CN113345394B (en) * | 2020-02-17 | 2023-12-22 | 抖音视界有限公司 | Audio data processing method and device, electronic equipment and storage medium |
| CN111654585B (en) * | 2020-03-26 | 2021-08-03 | 紫光展锐(重庆)科技有限公司 | Echo sound field state determination method and device, storage medium and terminal |
| CN111583950B (en) * | 2020-04-21 | 2024-05-03 | 珠海格力电器股份有限公司 | Audio processing method and device, electronic equipment and storage medium |
| CN113077787A (en) * | 2020-12-22 | 2021-07-06 | 珠海市杰理科技股份有限公司 | Voice data identification method, device, chip and readable storage medium |
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