WO2019128402A1 - 解决回声消除失效的方法、系统及存储介质 - Google Patents

解决回声消除失效的方法、系统及存储介质 Download PDF

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Publication number
WO2019128402A1
WO2019128402A1 PCT/CN2018/111059 CN2018111059W WO2019128402A1 WO 2019128402 A1 WO2019128402 A1 WO 2019128402A1 CN 2018111059 W CN2018111059 W CN 2018111059W WO 2019128402 A1 WO2019128402 A1 WO 2019128402A1
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Prior art keywords
echo cancellation
signal
microphone
amplitude value
maximum amplitude
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PCT/CN2018/111059
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English (en)
French (fr)
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陈文杰
赵文苓
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深圳Tcl新技术有限公司
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Priority to EP18897772.2A priority Critical patent/EP3734600A4/en
Priority to US16/494,767 priority patent/US11276416B2/en
Publication of WO2019128402A1 publication Critical patent/WO2019128402A1/zh

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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04M—TELEPHONIC COMMUNICATION
    • H04M9/00—Arrangements for interconnection not involving centralised switching
    • H04M9/08—Two-way loud-speaking telephone systems with means for conditioning the signal, e.g. for suppressing echoes for one or both directions of traffic
    • G10L21/0202—
    • G—PHYSICS
    • G10—MUSICAL INSTRUMENTS; ACOUSTICS
    • G10L—SPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
    • G10L21/00—Speech or voice signal processing techniques 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 TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
    • G10L21/00—Speech or voice signal processing techniques 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
    • G—PHYSICS
    • G10—MUSICAL INSTRUMENTS; ACOUSTICS
    • G10L—SPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
    • G10L21/00—Speech or voice signal processing techniques 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
    • G10L21/0316—Speech enhancement, e.g. noise reduction or echo cancellation by changing the amplitude
    • G10L21/0324—Details of processing therefor
    • G10L21/034—Automatic adjustment
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
    • H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
    • H04N21/41—Structure of client; Structure of client peripherals
    • H04N21/422—Input-only peripherals, i.e. input devices connected to specially adapted client devices, e.g. global positioning system [GPS]
    • H04N21/42203—Input-only peripherals, i.e. input devices connected to specially adapted client devices, e.g. global positioning system [GPS] sound input device, e.g. microphone
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
    • H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
    • H04N21/47—End-user applications
    • H04N21/485—End-user interface for client configuration
    • H04N21/4852—End-user interface for client configuration for modifying audio parameters, e.g. switching between mono and stereo
    • G—PHYSICS
    • G10—MUSICAL INSTRUMENTS; ACOUSTICS
    • G10L—SPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
    • G10L21/00—Speech or voice signal processing techniques 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 TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
    • G10L21/00—Speech or voice signal processing techniques 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
    • G10L2021/02163—Only one microphone

Definitions

  • the invention relates to a smart television sound effect technology, in particular to a method, a system and a storage medium for solving echo cancellation failure.
  • the main reason for the analysis is that the signal captured by the microphone at the high volume has a clipping distortion, which causes the echo cancellation algorithm to re-converge, and the convergence process takes a certain time.
  • the echo cancellation effect is very poor during the convergence process. Come a very bad experience.
  • the present invention solves the defects and deficiencies of the prior art, and proposes a method for solving the echo cancellation failure caused by the topping distortion, and the maximum signal strength allowed by presetting a microphone signal is maximized.
  • the amplitude value when the signal received by the microphone is greater than or equal to the amplitude value, the volume of the television is turned down to ensure that the signal strength received by the microphone is less than the amplitude value, so that the echo cancellation is performed without the signal being clipped.
  • the echo cancellation failure caused by the multiple convergence of the adaptive filter due to the clipping distortion of the microphone signal is avoided.
  • a method for solving the echo cancellation failure is used to solve the problem that the echo cancellation function of the television set fails due to the topping distortion of the microphone signal, and the method for solving the echo cancellation failure includes the following steps:
  • the echo cancellation algorithm is started, and the adaptive filter converges to stabilize the coefficients of the filter function
  • the microphone signal adopts a filter function in a steady state to perform echo cancellation.
  • the adaptive filter needs to quickly converge, and after convergence, the coefficients of the adaptive filter function tend to be stable, when the echo path is unchanged or the microphone signal is not The clipping distortion occurs, so that the coefficient of the adaptive filter function remains stable.
  • the adaptive filter re-converges.
  • the adaptation is made. The coefficients of the filter function remain stable.
  • step B specifically includes the following steps:
  • the maximum amplitude value of the signal strength allowed by a microphone is preset, so that the signal received by the microphone is smaller than the maximum amplitude value.
  • step C when the signal received by the microphone is greater than or equal to the maximum amplitude value, the system automatically adjusts the volume to make the signal received by the microphone smaller than the maximum amplitude value, and ensures echo cancellation. This is done without distortion of the signal, avoiding multiple convergences.
  • step D when the signal received by the microphone is less than the maximum amplitude value and is not distorted, the filter function in the steady state is used for echo cancellation, and the adaptive filter does not re-converge when the television The machine volume is lowered to restore the echo cancellation.
  • the invention also provides a system for solving echo cancellation failure, which is used for solving the problem that the echo cancellation function fails due to the occurrence of clipping distortion of the microphone signal, and the system includes: an echo cancellation module and a microphone signal control module. And volume control module;
  • the echo cancellation module is configured to start an echo cancellation algorithm for echo cancellation, and the adaptive filter converges to stabilize the coefficients of the filter function;
  • the microphone signal control module is configured to detect a microphone signal strength, and determine whether a signal strength received by the microphone exceeds a preset maximum amplitude value
  • the volume control module is configured to control the volume of the television such that the signal received by the microphone is less than the maximum amplitude value
  • the volume control module When the microphone signal control module detects that the microphone signal is greater than a preset maximum amplitude value, the volume control module reduces the volume of the television such that the signal received by the microphone is less than the maximum amplitude value, and is stabilized by the echo cancellation module.
  • the filter function in the state performs echo cancellation.
  • the echo cancellation module performs the echo cancellation specific functions as follows:
  • the adaptive filter needs to converge quickly. After convergence, the coefficients of the adaptive filter function tend to be stable. When the echo path is unchanged or the microphone signal does not appear to be clipping distortion, the adaptive filter function is The coefficient remains stable; when the microphone signal has clipping distortion, the adaptive filter reconverges, and the coefficients of the filter function are adjusted to adapt to the filtering requirements in the new state, so that the coefficients of the adaptive filter function remain stable.
  • the microphone signal control module specifically includes the following functions:
  • the volume control module specifically includes the following functions:
  • the microphone signal control module notifies the volume control module when detecting that the microphone signal is greater than or equal to a preset maximum amplitude value of the microphone signal, and the volume control module controls to adjust the volume of the television to be such that the signal received by the microphone is not Exceeding the maximum amplitude value ensures that the echo cancellation module performs echo cancellation without distortion of the signal.
  • the present invention also provides a storage medium storing a program for resolving an echo cancellation failure, the step of resolving the echo cancellation failure program being implemented by the processor to implement the above-described method for resolving the echo cancellation failure.
  • a microphone is preset. The maximum amplitude value of the signal strength allowed to be received, by adjusting the signal strength of the microphone in real time, adjusting the volume of the smart TV, ensuring that the echo cancellation is performed when the signal received by the microphone is not greater than the maximum amplitude value and no clipping distortion is generated. The following is performed to avoid the multiple convergence of the adaptive filter caused by the above, and the coefficient of the adaptive filter function W(n) is unstable, which affects the problem of echo cancellation.
  • Figure 1 is a flow diagram of a preferred embodiment of a method of addressing echo cancellation failure in accordance with the present invention.
  • FIG. 2 is a detailed flow chart of a preferred embodiment of a method for solving echo cancellation failure in accordance with the present invention.
  • FIG. 3 is a schematic block diagram of a preferred embodiment of a system for solving echo cancellation failures of the present invention.
  • FIG. 4 is a signal flow diagram of a discrete domain adaptive filter of the present invention for simulating an unknown discrete system.
  • Figure 5 is a flow chart of the prior art echo cancellation process.
  • the core content of echo cancellation is an adaptive filter, which is an algorithm or device that automatically adjusts the filter coefficients to achieve optimal filtering characteristics based on the estimation of the statistical characteristics of the input and output signals.
  • the adaptive filter can be continuous or discrete.
  • the discrete domain adaptive filter consists of a set of tap delay lines, variable weighting coefficients, and a mechanism that automatically adjusts the coefficients.
  • FIG. 4 is a signal flow diagram of a discrete domain adaptive filter for simulating an unknown discrete system according to the present invention.
  • the adaptive filter updates and adjusts each sample of the input signal sequence X(n) according to a specific algorithm.
  • the weighting coefficient minimizes the mean square error of the output signal sequence Y(n) compared to the desired output signal sequence d(n), that is, the output signal sequence Y(n) approximates the desired signal sequence d(n), and the echo to be solved
  • the path function is the process of convergence of an adaptive filter W(n).
  • the applied input signal X(n) is an echo reference signal
  • the desired signal d(n) is an echo signal received by the microphone
  • W(n) after the adaptive filter converges is an echo path function.
  • W(n) after the adaptive filter converges is an echo path function.
  • the mixed signal E(n) is directly subtracted from the echo signal to obtain the actual voice signal that needs to be sent. ⁇ W(n) completes the echo cancellation task.
  • the processing flow of the prior art echo cancellation is: after the echo cancellation algorithm starts, the adaptive filter will quickly converge, and after convergence, the coefficient of the adaptive filter function W(n) tends to stable. As long as the echo path is unchanged or the microphone signal does not have clipping distortion, the coefficient of the adaptive filter function W(n) will remain stable. However, when the sound played by the TV becomes large, causing the signal received by the microphone to have a topping distortion, the adaptive filtering needs to reconverge, and the coefficient of the filter function W(n) is adjusted to adapt to the filtering requirement in the new state. Usually, it takes a long time to reconverge in this state. Therefore, once the reconvergence occurs, even if the user turns down the volume of the TV set, the signal received by the microphone is not cut, and the echo cancellation function cannot be restored to the normal working state in a short time.
  • the present invention provides a method for solving the echo cancellation failure caused by the topping distortion, as shown in the flow chart of a preferred embodiment of the method for solving the echo cancellation failure of the present invention.
  • the embodiment includes the following steps:
  • step S100 an echo cancellation algorithm is started, and the adaptive filter converges to stabilize the coefficients of the filter function.
  • the adaptive filter will quickly converge. After convergence, the coefficients of the adaptive filter function W(n) will tend to be stable, and the echo path will remain unchanged. Or the microphone signal does not have clipping distortion, and the coefficient of the adaptive filter function W(n) is kept stable.
  • the adaptive filtering needs to re-converge.
  • W(n) By adjusting the coefficient of the filter function W(n) to adapt to the filtering requirement in the new state, it takes a long time to reconverge in this state. Completed so that the coefficients of the adaptive filter function remain stable.
  • Step S200 preset a maximum amplitude value of the microphone signal, and detect whether the microphone signal is smaller than the maximum amplitude value.
  • the signal received by the microphone is too large, generally because the sound played by the television itself is too large, and the maximum amplitude value of the signal strength allowed by the preset microphone is preset, and the television is played by the detection and judgment.
  • the intensity of the sound is such that the signal received by the microphone is less than the amplitude value.
  • the maximum amplitude value of the signal strength allowed by the microphone is preset, so that the signal received by the microphone is smaller than the maximum amplitude value.
  • step S300 when the microphone signal is greater than or equal to the maximum amplitude value, the volume of the television is lowered, so that the microphone signal is smaller than the maximum amplitude value.
  • the user when the signal received by the microphone is greater than or equal to the amplitude value, the user is prompted to turn down the volume, or the “automatically adjust volume” option is added to the system setting of the television to automatically adjust the system.
  • the small volume makes the signal received by the microphone smaller than the amplitude value, ensuring that the echo cancellation is performed without distortion of the signal, avoiding multiple convergence due to signal distortion.
  • step S400 the microphone signal is subjected to echo cancellation using a filter function in a previously stable state.
  • the filter function in the steady state is still used for echo cancellation, and the adaptive filter does not need to re-converge, as long as When the volume is lowered, the function of echo cancellation is restored immediately, and there is no failure time of the echo cancellation function.
  • the echo cancellation algorithm is started to perform echo cancellation, the adaptive filtering is used for convergence, the coefficient of the adaptive filter function W(n) is stable, and whether the microphone signal is topped is determined. Distortion, if there is no clipping distortion, the coefficient of the adaptive filter function W(n) remains stable.
  • the user automatically adjusts the volume of the TV by manually or starting the system, and then adjusts the volume before judging the microphone.
  • the coefficient of the adaptive filter function W(n) remains stable. By effectively monitoring the intensity of the signal received by the microphone to control the volume of the TV, the signal recorded by the microphone does not appear to be cut-off distortion, the coefficient of the adaptive filter function W(n) is in a stable state, and the echo cancellation function is normally effective.
  • the invention also provides a system for solving the echo cancellation failure, which is used for solving the problem that the echo cancellation function is invalid in a certain time due to the occurrence of the topping distortion of the microphone signal
  • FIG. 3 is a system for solving the echo cancellation failure.
  • the system includes an echo cancellation module 10, a microphone signal control module 20, and a volume control module 30, as shown in the schematic structural diagram of the preferred embodiment.
  • the echo cancellation module 10 is configured to start an echo cancellation algorithm for echo cancellation, and the adaptive filter converges to stabilize the coefficients of the filter function.
  • the specific function of the echo cancellation module to complete the echo cancellation task is as follows: the core content of the echo cancellation is an adaptive filter, and the working principle of the adaptive filter refers to the foregoing work on the adaptive filter. Process description, not repeated here.
  • the adaptive filter After the echo cancellation algorithm starts, the adaptive filter converges quickly. After convergence, the coefficients of the adaptive filter function W(n) tend to be stable. When the echo path is unchanged or the microphone signal does not appear clipping distortion, the adaptive The coefficient of the filter function W(n) will remain stable all the time; however, when the sound played by the TV becomes large, causing the signal received by the microphone to have a clipping distortion, the adaptive filter needs to reconverge, by adjusting the filter function W ( The coefficient of n) is adapted to the filtering requirement in the new state, and reconvergence in this state takes a long time to complete, so that the coefficients of the adaptive filter function W(n) remain stable.
  • the microphone signal control module 20 is configured to detect a microphone signal strength, and determine whether the signal strength received by the microphone exceeds a preset maximum amplitude value.
  • the microphone signal control module is configured to detect the microphone signal strength, determine that the signal received by the microphone does not exceed the set maximum amplitude value, and the signal strength received by the microphone is played by the television itself.
  • the sound size is closely related, preset the maximum amplitude value of the signal intensity allowed by a microphone.
  • the TV volume is reduced to ensure that the echo cancellation is performed without distortion of the signal. To avoid multiple convergence problems caused by the distortion of the microphone signal, which affects echo cancellation.
  • the volume control module 30 is configured to control the volume of the television such that the signal received by the microphone is less than the maximum amplitude value.
  • the volume control module 30 is configured to control the volume of the television so that the signal received by the microphone does not exceed the maximum amplitude value, when the microphone signal control module 20 detects that the microphone signal is greater than or The volume control module is notified when the maximum amplitude value of the preset microphone signal is equal to, the volume control module controls to adjust the volume of the TV set so that the signal received by the microphone does not exceed the maximum amplitude value, and the echo cancellation module does not signal Echo cancellation is performed in the case of distortion.
  • the size of the signal received by the microphone is closely related to the size of the sound played by the TV itself.
  • the volume of the TV set needs to be reduced, and the volume of the TV set is reduced. Prompt the user to turn the TV volume down to the appropriate volume value; the other is to add the “automatic volume adjustment” option to the TV's system settings, allowing the system to automatically adjust the TV volume to the appropriate volume value.
  • the volume control module 30 decreases the volume of the television such that the signal received by the microphone is less than the maximum amplitude value, by the echo cancellation module. 10 Echo cancellation is performed using a filter function in a steady state.
  • the present invention also provides a storage medium, which is a computer readable storage medium, and the storage medium stores a program for solving an echo cancellation failure, and the program for solving the echo cancellation failure is implemented by the processor to implement the above-mentioned solution to solve the echo cancellation failure.
  • the steps of the method are a computer readable storage medium, and the storage medium stores a program for solving an echo cancellation failure, and the program for solving the echo cancellation failure is implemented by the processor to implement the above-mentioned solution to solve the echo cancellation failure.

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  • Multimedia (AREA)
  • Human Computer Interaction (AREA)
  • Computational Linguistics (AREA)
  • Quality & Reliability (AREA)
  • Health & Medical Sciences (AREA)
  • Audiology, Speech & Language Pathology (AREA)
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Abstract

一种解决回声消除失效的方法、系统及存储介质，该方法包括：启动回声消除算法，自适应滤波器进行收敛，以使滤波函数的系数稳定（S100）；预设麦克风所允许收取的信号强度最大幅度值，检测麦克风信号是否小于所述最大幅度值（S200）；当麦克风收取的信号大于或等于最大幅度值，就提示用户将电视机音量调小，或者电视机系统自动调小音量以确保麦克风收取的信号强度小于最大幅度值（S300）；回声消除在信号不失真的情况下进行，自适应滤波函数W(n)的系数能一直保持稳定，避免了由于信号失真引起自适应滤波器多次收敛（S400）。该方法很好地解决了自适应滤波器由于麦克风信号出现削顶失真而多次收敛引起回声消除失效的问题。

Description

解决回声消除失效的方法、系统及存储介质 技术领域
本发明涉及智能电视机音效技术，尤其涉及一种解决回声消除失效的方法、系统及存储介质。
背景技术
当下人工智能已成热点，作为人工智能一部分的语音识别技术也越来越让大家所熟知，在智能音响、智能电视等智能设备市场驱动下，语音识别技术俨然成为了智能的代名词。人工智能领域的语音识别技术虽然在近几年取得了很大的进步，但是仍然存在一些问题，尤其是实际运用到智能设备上时仍旧存在具体使用问题，比如，在智能电视机进行语音识别时，当把智能电视机播放的声音调大到一定音量值时，智能电视机的语音识别率很低，即便把智能电视机音量重新调小，在很长一时间段内，语音识别率也还是很低。分析发现主要原因是在大音量时麦克风录取到的信号出现了削顶失真，导致回声消除算法需要重新收敛，而收敛的过程需要一定的时间，在收敛过程中回声消除效果很差，给用户带来很不好的体验。
因此，现有技术还有待于改进和发展。
发明内容
鉴于上述现有技术的不足之处，本发明为解决现有技术缺陷和不足，提出了一种解决由于削顶失真引起回声消除失效的方法，通过预设一个麦克风信号所允许收取的信号强度最大幅度值，当麦克风收取的信号大于或等于所述幅度值时，将电视机音量调小，确保麦克风收取的信号强度小于所述幅度值，使回声消除是在信号不削顶失真的情况下进行，避免了由于麦克风信号的削顶失真引起自适应滤波器多次收敛而带来的回声消除失效。
本发明解决技术问题所采用的技术方案如下：
一种解决回声消除失效的方法，用于解决电视机由于麦克风信号出现削顶失真，而引起的回声消除功能在一定时间内失效的问题，所述解决回声消除失效的方法包括如下步骤：
A、启动回声消除算法，自适应滤波器进行收敛，以使滤波函数的系数稳定；
B、预设麦克风信号最大幅度值，检测麦克风信号是否小于所述最大幅度值；
C、当麦克风信号大于或等于所述最大幅度值时，降低电视机的音量，使麦克风信号小于所述最大幅度值；
D、麦克风信号采用稳定状态下的滤波函数进行回声消除。
作为进一步的改进技术方案，上述步骤A中回声消除算法开始启动后，自适应滤波器需要快速进行收敛，收敛好之后，自适应滤波函数的系数趋于稳定，当回声路径不变或麦克风信号不出现削顶失真，使得自适应滤波函数的系数保持稳定；当麦克风信号出现削顶失真时，自适应滤波器重新进行收敛，通过调整滤波函数的系数来适应新状态下的滤波需求，使得自适应滤波函数的系数保持稳定。
作为进一步的改进技术方案，上述步骤B具体包括如下步骤：
检测电视机播放的声音强度；
结合电视机播放的声音强度预设一个麦克风所允许收取的信号强度的最大幅度值，使麦克风收到的信号小于所述最大幅度值。
作为进一步的改进技术方案，上述步骤C中，当麦克风收到的信号大于或等于所述最大幅度值时，系统自动调小音量，使麦克风收到的信号小于所述最大幅度值，确保回声消除在信号不失真的情况下进行，避免多次收敛。
作为进一步的改进技术方案，上述步骤D中，当麦克风收到的信号小于所述最大幅度值不失真后，采用稳定状态下的滤波函数进行回声消除，自适应滤波器不重新进行收敛，当电视机音量降下来恢复回声消除。
本发明还提供一种解决回声消除失效的系统，用于解决由于麦克风信号出现削顶失真，而引起的回声消除功能在一定时间内失效问题，所述系统包括；回声消除模块、麦克风信号控制模块和音量控制模块；
所述回声消除模块，用于启动回声消除算法进行回声消除，自适应滤波器进行收敛，以使滤波函数的系数稳定；
所述麦克风信号控制模块，用于检测麦克风信号强度，判断麦克风收到的信号强度是否超过预设的最大幅度值；
所述音量控制模块，用于对电视机音量进行控制，使麦克风收到的信号小于所述最大幅度值；
当所述麦克风信号控制模块检测到麦克风信号大于预设的最大幅度值时，所 述音量控制模块降低电视机音量使麦克风收到的信号小于所述最大幅度值，由所述回声消除模块采用稳定状态下的滤波函数进行回声消除。
作为进一步的改进技术方案，所述回声消除模块完成回声消除具体功能如下：
回声消除算法开始启动后，自适应滤波器需要快速进行收敛，收敛好之后，自适应滤波函数的系数趋于稳定，当回声路径不变或麦克风信号不出现削顶失真，使得自适应滤波函数的系数保持稳定；当麦克风信号出现削顶失真时，自适应滤波器重新进行收敛，通过调整滤波函数的系数来适应新状态下的滤波需求，使得自适应滤波函数的系数保持稳定。
作为进一步的改进技术方案，所述麦克风信号控制模块具体包括如下功能：
预设一个麦克风所允许收取的信号强度的最大幅度值，检测电视机播放的声音强度，当麦克风的信号大于或等于所述最大幅度值时，通知所述音量控制模块自动调小电视机音量，以确保回声消除是在信号不削顶失真的情况下进行。
作为进一步的改进技术方案，所述音量控制模块具体包括如下功能：
当所述麦克风信号控制模块在检测到麦克风信号大于或等于预设的麦克风信号最大幅度值时通知所述音量控制模块，所述音量控制模块控制调小电视机音量，使麦克风收到的信号不超过最大幅度值，确保所述回声消除模块在信号不失真的情况下进行回声消除。
本发明还提供一种存储介质，所述存储介质存储有解决回声消除失效的程序，该解决回声消除失效的程序被处理器执行时实现上述的解决回声消除失效的方法的步骤。
与现有技术在智能电视机音量大于一定值后，会使麦克风收取的信号产生削顶失真，进而使自适应滤波器多次收敛，影响回声消除相比，本发明由于预设了一个麦克风所允许收取的信号强度的最大幅度值，通过实时监测麦克风收取的信号强度，调整智能电视机音量大小，确保回声消除是在麦克风收取的信号没有大于所述最大幅度值、没产生削顶失真的情况下进行，避免了由此引起的自适应滤波器多次收敛，使自适应滤波函数W(n)的系数不稳定，影响回声消除的问题。
附图说明
图1是本发明一种解决回声消除失效的方法优选实施例的流程图。
图2是本发明一种解决回声消除失效的方法优选实施例的具体流程图。
图3是本发明一种解决回声消除失效的系统优选实施例的原理结构图。
图4是本发明一个离散域自适应滤波器用于模拟未知离散系统的信号流程图。
图5是现有技术的回声消除处理流程图。
具体实施方式
为使本发明的目的、技术方案及优点更加清楚、明确，以下参照附图并举实施例对本发明进一步详细说明。应当理解，此处所描述的具体实施例仅仅用以解释本发明，并不用于限定本发明。
目前机器学习和人工智能是科技领域的热点，而作为人工智能一部分的语音识别技术也越来越让大家所熟知。尤其是在智能音响、智能电视等智能设备带动下，语音识别技术俨然成为了智能的代名词。语音识别技术虽然在近几年取得了很大的进步，但是仍然存在一些问题。在智能电视方面，发现当把电视机播放的声音调到一定音量值后，语音识别率很低，即便把音量重新调小，在很长一时间段内语音识别率还是很低。经分析发现主要原因是由于在大音量时麦克风收取到的信号出现了削顶失真，这导致回声消除算法需要重新收敛，收敛的过程需要一定的时间，而在这段时间内回声消除的效果是很差的。
回声消除的核心内容是自适应滤波器，它是以输入和输出信号的统计特性的估计为依据，采取特定算法自动地调整滤波器系数，使其达到最佳滤波特性的一种算法或装置。自适应滤波器可以是连续域的，也可以是离散域的。离散域自适应滤波器由一组抽头延迟线、可变加权系数和自动调整系数的机构组成。如图4所示为本发明一个离散域自适应滤波器用于模拟未知离散系统的信号流程图，自适应滤波器对输入信号序列X(n)的每一个样值，按特定的算法更新、调整加权系数，使输出信号序列Y(n)与期望输出信号序列d(n)相比较的均方误差为最小，即输出信号序列Y(n)逼近期望信号序列d(n)，需要求解的回声路径函数就是一个自适应滤波器W(n)收敛的过程。所加输入信号X(n)是回声参考信号，期望信号d(n)是麦克风收取到的回声信号，自适应滤波器收敛后的W(n)就是回声路径函数。收敛之后，当实际回声发生，我们把回声参考信号通过函数W(n)，就可以得到一个很准确的回声信号，把混合信号E(n)直接减去回声信号，得到实际需要发送的语音信号ΔW(n)，完成回声消除任务。
如图5所示，现有技术回声消除的处理流程是：回声消除算法开始启动后，自适应滤波器会快速的进行收敛，收敛好之后，自适应滤波函数W(n)的系数会趋于稳定。只要回声路径不变或麦克风信号不出现削顶失真，自适应滤波函数W(n)的系数会一直稳定的保持下来。但当电视机播放的声音变大，致使麦克风收到的信号出现削顶失真时，自适应滤波就需要重新收敛，通过调整滤波函数W(n)的系数，以适应新状态下的滤波需求。而通常这个状态下重新收敛需要较长的时间才能完成。所以一但出现重新收敛后，即便用户把电视机的音量重新调低，使麦克风收到的信号不削顶，短时间内回声消除功能也无法恢复正常工作状态。
针对现有技术缺陷，本发明提供了一种解决由于削顶失真引起回声消除失效的方法，如图1本发明一种解决回声消除失效的方法优选实施例的流程图所示，本发明方法优选实施例包括如下步骤：
步骤S100，启动回声消除算法，自适应滤波器进行收敛，以使滤波函数的系数稳定。
具体而言，本实施例中，回声消除算法开始启动后，自适应滤波器会快速的进行收敛，收敛好之后，自适应滤波函数W(n)的系数会趋于稳定，当回声路径不变或麦克风信号不出现削顶失真，自适应滤波函数W(n)的系数会一直稳定的保持下来。
当麦克风获取的信号出现削顶失真时，自适应滤波就需要重新收敛，通过调整滤波函数W(n)的系数，以适应新状态下的滤波需求，这个状态下重新收敛需要较长的时间才能完成，以使得自适应滤波函数的系数保持稳定。
步骤S200，预设麦克风信号最大幅度值，检测麦克风信号是否小于所述最大幅度值。
具体而言，本实施例中，麦克风收取的信号过大，一般都是由于电视机本身播放的声音过大导致，预设一个麦克风所允许收取的信号强度的最大幅度值，检测判断电视机播放的声音强度，使麦克风收取的信号小于所述幅度值。本步骤通过检测电视机播放的声音强度，结合电视机播放的声音强度预设一个麦克风所允许收取的信号强度的最大幅度值，使麦克风收到的信号小于所述最大幅度值。
步骤S300，当麦克风信号大于或等于所述最大幅度值时，降低电视机的音量，使麦克风信号小于所述最大幅度值。
具体而言，本实施例中，当麦克风收取的信号大于或等于所述幅度值时，提示用户将音量调小，或者在电视机的系统设置中增加“自动调整音量”选项，让系统自动调小音量，使麦克风收取的信号小于所述幅度值，确保回声消除是在信号不失真的情况下进行，避免由于信号失真引起的多次收敛。
步骤S400，麦克风信号采用之前稳定状态下的滤波函数进行回声消除。
具体而言，本实施例中，当麦克风收取的信号小于所述最大幅度值，信号不失真后，仍采用稳定状态下的滤波函数进行回声消除，自适应滤波器不需要重新进行收敛，只要将音量降下来，回声消除的功能就立即恢复，没有回声消除功能的失效时间。
为了更好地解释本发明方法优选实施例，更明白了解本发明方法优选实施例的具体实施步骤，特给出了本发明方法优选实施例的具体流程图，如图2本发明一种解决回声消除失效的方法优选实施例的具体流程图所示，首先，启动回声消除算法来进行回声消除，自适应滤波进行收敛，自适应滤波函数W(n)的系数稳定，判断麦克风信号是否出现削顶失真，如果没有出现削顶失真，则自适应滤波函数W(n)的系数保持稳定，当出现削顶失真时，用户通过手动或启动系统自动调整电视机的音量，再调整音量后再判断麦克风信号是否出现削顶失真，如果出现削顶失真，继续进行音量调节，如果没有出现削顶失真，则自适应滤波函数W(n)的系数保持稳定。通过有效监测麦克风收取信号的强度来控制电视机音量，使麦克风收录的信号不出现削顶失真，自适应滤波函数W(n)的系数处于稳定状态，回声消除功能正常有效。
本发明还提供一种解决回声消除失效的系统，用于解决由于麦克风信号出现削顶失真，而引起的回声消除功能在一定时间内失效问题，如图3本发明一种解决回声消除失效的系统优选实施例的原理结构图所示，所述系统包括：回声消除模块10、麦克风信号控制模块20和音量控制模块30。
所述回声消除模块10，用于启动回声消除算法进行回声消除，自适应滤波器进行收敛，以使滤波函数的系数稳定。
具体而言，本实施例中，所述回声消除模块完成回声消除任务具体功能如下：回声消除的核心内容是自适应滤波器，该自适应滤波器的工作原理参照前述关于自适应滤波器的工作过程描述，此处不赘述。
回声消除算法开始启动后，自适应滤波器快速的进行收敛，收敛好之后，自适应滤波函数W(n)的系数趋于稳定，当回声路径不变或麦克风信号不出现削顶失真，自适应滤波函数W(n)的系数会一直保持稳定；但当电视机播放的声音变大，致使麦克风收到的信号出现削顶失真时，自适应滤波器就需要重新收敛，通过调整滤波函数W(n)的系数，以适应新状态下的滤波需求，而这个状态下重新收敛需要较长的时间完成，使得自适应滤波函数W(n)的系数的保持稳定。
所述麦克风信号控制模块20，用于检测麦克风信号强度，判断麦克风收到的信号强度是否超过预设的最大幅度值。
具体而言，本实施例中，所述麦克风信号控制模块，用于检测麦克风信号强度，判断麦克风收到的信号不超过所设最大幅度值，麦克风收到的信号强弱与电视机本身播放的声音大小密切相关，预设一个麦克风所允许的信号强度的最大幅度值，当麦克风的信号大于或等于所述幅度值，减小电视机音量，以确保回声消除是在信号不失真的情况下进行，避免由于麦克风信号削顶失真引起的多次收敛问题，影响回声消除。
所述音量控制模块30，用于对电视机音量进行控制，使麦克风收到的信号小于所述最大幅度值。
具体而言，本实施例中，所述音量控制模块30，用于电视机音量控制，使麦克风收到的信号不超过最大幅度值，当所述麦克风信号控制模块20在检测到麦克风信号大于或等于预设的麦克风信号最大幅度值时通知所述音量控制模块，所述音量控制模块控制调小电视机音量，使麦克风收到的信号不超过最大幅度值，确保所述回声消除模块在信号不失真的情况下进行回声消除。
麦克风收到的信号大小与电视机本身播放的声音大小密切相关，当麦克风的信号大于或等于预设的最大幅度值时，需要降低电视机的音量，降低电视机音量包括两种方式，一种提示用户将电视机音量调小至合适音量值；另外一种是在电视机的系统设置中增加“自动调整音量”选项，让系统自动调整电视机音量大小至合适音量值。
当所述麦克风信号控制模块20检测到麦克风信号大于预设的最大幅度值时，所述音量控制模块30降低电视机音量使麦克风收到的信号小于所述最大幅度值，由所述回声消除模块10采用稳定状态下的滤波函数进行回声消除。其余工作原 理参见上述方法优选实施例，此处不赘述。
本发明还提供一种存储介质，存储介质为计算机可读存储介质，所述存储介质存储有解决回声消除失效的程序，该解决回声消除失效的程序被处理器执行时实现上述的解决回声消除失效的方法的步骤。
应当理解的是，以上所述仅为本发明的较佳实施例而已，并不足以限制本发明的技术方案，对本领域普通技术人员来说，在本发明的精神和原则之内，可以根据上述说明加以增减、替换、变换或改进，而所有这些增减、替换、变换或改进后的技术方案，都应属于本发明所附权利要求的保护范围。

Claims (15)

  1. 一种解决回声消除失效的方法，用于解决电视机由于麦克风信号出现削顶失真，而引起的回声消除功能失效的问题，其特征在于，所述解决回声消除失效的方法包括如下步骤：
    A、启动回声消除算法，自适应滤波器进行收敛，以使滤波函数的系数稳定；
    B、预设麦克风信号最大幅度值，检测麦克风信号是否小于所述最大幅度值；
    C、当麦克风信号大于或等于所述最大幅度值时，降低电视机的音量，使麦克风信号小于所述最大幅度值；
    D、麦克风信号采用稳定状态下的滤波函数进行回声消除。
  2. 根据权利要求1所述的解决回声消除失效的方法，其特征在于，所述步骤A中，回声消除算法开始启动后，自适应滤波器需要快速进行收敛，收敛好之后，自适应滤波函数的系数趋于稳定，当回声路径不变或麦克风信号不出现削顶失真，使得自适应滤波函数的系数保持稳定；当麦克风信号出现削顶失真时，自适应滤波器重新进行收敛，通过调整滤波函数的系数来适应新状态下的滤波需求，使得自适应滤波函数的系数保持稳定。
  3. 根据权利要求1所述的解决回声消除失效的方法，其特征在于，所述步骤B具体包括如下步骤：
    检测电视机播放的声音强度；
    结合电视机播放的声音强度预设一个麦克风所允许收取的信号强度的最大幅度值，使麦克风收到的信号小于所述最大幅度值。
  4. 根据权利要求3所述的解决回声消除失效的方法，其特征在于，所述步骤C中，当麦克风收到的信号大于或等于所述最大幅度值时，系统自动调小音量，使麦克风收到的信号小于所述最大幅度值，确保回声消除在信号不失真的情况下进行，避免多次收敛。
  5. 根据权利要求4所述的解决由于削顶失真引起回声消除失效的方法，其特征在于，所述步骤D中，当麦克风收到的信号小于所述最大幅度值不失真后，采用稳定状态下的滤波函数进行回声消除，自适应滤波器不重新进行收敛，当电视机音量降下来恢复回声消除。
  6. 一种解决回声消除失效的系统，用于解决由于麦克风信号出现削顶失真，而引起的回声消除功能在一定时间内失效问题，其特征在于，所述系统包括：回 声消除模块、麦克风信号控制模块和音量控制模块；
    所述回声消除模块，用于启动回声消除算法进行回声消除，自适应滤波器进行收敛，以使滤波函数的系数稳定；
    所述麦克风信号控制模块，用于检测麦克风信号强度，判断麦克风收到的信号强度是否超过预设的最大幅度值；
    所述音量控制模块，用于对电视机音量进行控制，使麦克风收到的信号小于所述最大幅度值；
    当所述麦克风信号控制模块检测到麦克风信号大于预设的最大幅度值时，所述音量控制模块降低电视机音量使麦克风收到的信号小于所述最大幅度值，由所述回声消除模块采用稳定状态下的滤波函数进行回声消除。
  7. 根据权利要求6所述的一种解决回声消除失效的系统，其特征在于，所述回声消除模块完成回声消除具体功能如下：
    回声消除算法开始启动后，自适应滤波器需要快速进行收敛，收敛好之后，自适应滤波函数的系数趋于稳定，当回声路径不变或麦克风信号不出现削顶失真，使得自适应滤波函数的系数保持稳定；当麦克风信号出现削顶失真时，自适应滤波器重新进行收敛，通过调整滤波函数的系数来适应新状态下的滤波需求，使得自适应滤波函数的系数保持稳定。
  8. 根据权利要求6所述的一种解决回声消除失效的系统，其特征在于，所述麦克风信号控制模块具体包括如下功能：
    预设一个麦克风所允许收取的信号强度的最大幅度值，检测电视机播放的声音强度，当麦克风的信号大于或等于所述最大幅度值时，通知所述音量控制模块自动调小电视机音量，以确保回声消除是在信号不削顶失真的情况下进行。
  9. 根据权利要求8所述的一种解决回声消除失效的系统，其特征在于，所述音量控制模块具体包括如下功能：
    当所述麦克风信号控制模块在检测到麦克风信号大于或等于预设的麦克风信号最大幅度值时通知所述音量控制模块，所述音量控制模块控制调小电视机音量，使麦克风收到的信号不超过最大幅度值，确保所述回声消除模块在信号不失真的情况下进行回声消除。
  10. 一种存储介质，其特征在于，所述存储介质存储有解决回声消除失效的 程序，该解决回声消除失效的程序被处理器执行时实现权利要求1至5任一项所述的解决回声消除失效的方法的步骤。
  11. 根据权利要求1所述的解决回声消除失效的方法，其特征在于，所述步骤A中，所述自适应滤波器进行收敛的步骤包括：自适应滤波器对输入信号序列的每一个样值，进行更新、调整加权系数，使输出信号序列逼近期望信号序列，求解回声路径函数；其中，所述输入信号是回声参考信号，期望信号是麦克风收取到的回声信号。
  12. 根据权利要求1所述的解决回声消除失效的方法，其特征在于，所述步骤C中，通过手动或启动系统自动调整来降低电视机的音量。
  13. 根据权利要求9所述的解决回声消除失效的系统，其特征在于，所述音量控制模块具体包括如下功能：
    当所述麦克风信号控制模块检测到麦克风信号大于预设的最大幅度值时，所述音量控制模块降低电视机音量使麦克风收到的信号小于所述最大幅度值，由所述回声消除模块采用稳定状态下的滤波函数进行回声消除。
  14. 根据权利要求6所述的解决回声消除失效的系统，其特征在于，所述自适应滤波器进行收敛具体包括：自适应滤波器对输入信号序列的每一个样值，进行更新、调整加权系数，使输出信号序列逼近期望信号序列，求解回声路径函数；其中，所述输入信号是回声参考信号，期望信号是麦克风收取到的回声信号。
  15. 根据权利要求6所述的解决回声消除失效的系统，其特征在于，所述音量控制模块通过手动或启动系统自动调整来降低电视机音量。
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