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1. 发明授权

US09613633B2 Speech enhancement 有权
公开(公告)号：US09613633B2
公开(公告)日：2017-04-04
申请号：US14438757
申请日：2012-10-30
申请人： NUANCE COMMUNICATIONS, INC.
发明人： Mohamed Krini , Ingo Schalk-Schupp , Patrick Hannon
IPC分类号： G10L21/00 , G10L21/0208 , G10L13/00 , G10L15/00 , G10L13/02 , G10L15/20 , G10L19/04
CPC分类号： G10L21/0208 , G10L13/00 , G10L13/02 , G10L15/00 , G10L15/20 , G10L19/04
摘要： A speech signal processing system is described for use with automatic speech recognition and hands free speech communication. A signal pre-processor module transforms an input microphone signal into corresponding speech component signals. A noise suppression module applies noise reduction to the speech component signals to generate noise reduced speech component signals. A speech reconstruction module produces corresponding synthesized speech component signals for distorted speech component signals. A signal combination block adaptively combines the noise reduced speech component signals and the synthesized speech component signals based on signal to noise conditions to generate enhanced speech component signals for automatic speech recognition and hands free speech communication.

2. 发明申请

US20190102108A1 SYSTEM AND METHOD FOR COMBINED NON-LINEAR AND LATE ECHO SUPPRESSION 审中-公开
公开(公告)号：US20190102108A1
公开(公告)日：2019-04-04
申请号：US15722367
申请日：2017-10-02
申请人： Nuance Communications, Inc.
发明人： Ingo Schalk-Schupp , Friedrich Faubel , Markus Buck , Naveen Kumar Desiraju , Tobias Wolff
IPC分类号： G06F3/06 , G06F13/10
CPC分类号： G06F3/0659 , G06F13/10
摘要： A method, computer program product, and computer system for receiving, by a computing device, an input signal. A first power spectral density estimate may be generated for a linear reverberant component associated with the input signal. A second power spectral density estimate may be generated for a non-linear reverberant component associated with the input signal. A power spectral density estimate may be generated by combining the first power spectral density estimate for the linear reverberant component and the second power spectral density estimate for the non-linear reverberant component. One or more parameters for at least one of the linear reverberant component and the non-linear reverberant component may be updated. One or more undesired signal components in an output signal resulting from the input signal may be reduced via residual echo suppression based upon, at least in part, updating the one or more parameters.

3. 发明申请

US20150255083A1 SPEECH ENHANCEMENT 有权
标题翻译：语音增强
公开(公告)号：US20150255083A1
公开(公告)日：2015-09-10
申请号：US14438757
申请日：2012-10-30
申请人： NUANCE COMMUNICATIONS, INC.
发明人： Mohamed Krini , Ingo Schalk-Schupp , Patrick Hannon
IPC分类号： G10L21/0208 , G10L15/00 , G10L13/00
CPC分类号： G10L21/0208 , G10L13/00 , G10L13/02 , G10L15/00 , G10L15/20 , G10L19/04
摘要： A speech signal processing system is described for use with automatic speech recognition and hands free speech communication. A signal pre-processor module transforms an input microphone signal into corresponding speech component signals. A noise suppression module applies noise reduction to the speech component signals to generate noise reduced speech component signals. A speech reconstruction module produces corresponding synthesized speech component signals for distorted speech component signals. A signal combination block adaptively combines the noise reduced speech component signals and the synthesized speech component signals based on signal to noise conditions to generate enhanced speech component signals for automatic speech recognition and hands free speech communication.
摘要翻译：描述了一种用于自动语音识别和免提语音通信的语音信号处理系统。信号预处理器模块将输入麦克风信号转换成相应的语音分量信号。噪声抑制模块将噪声降低应用于语音分量信号以产生降噪语音分量信号。语音重建模块产生用于失真的语音分量信号的对应的合成语音分量信号。信号组合块基于信噪比自适应地组合噪声降低语音分量信号和合成语音分量信号，以产生用于自动语音识别和免提语音通信的增强语音分量信号。

4. 发明授权

US10481831B2 System and method for combined non-linear and late echo suppression 有权
公开(公告)号：US10481831B2
公开(公告)日：2019-11-19
申请号：US15722367
申请日：2017-10-02
申请人： Nuance Communications, Inc.
发明人： Ingo Schalk-Schupp , Friedrich Faubel , Markus Buck , Naveen Kumar Desiraju , Tobias Wolff
IPC分类号： G06F3/06 , G06F13/10
摘要： A method, computer program product, and computer system for receiving, by a computing device, an input signal. A first power spectral density estimate may be generated for a linear reverberant component associated with the input signal. A second power spectral density estimate may be generated for a non-linear reverberant component associated with the input signal. A power spectral density estimate may be generated by combining the first power spectral density estimate for the linear reverberant component and the second power spectral density estimate for the non-linear reverberant component. One or more parameters for at least one of the linear reverberant component and the non-linear reverberant component may be updated. One or more undesired signal components in an output signal resulting from the input signal may be reduced via residual echo suppression based upon, at least in part, updating the one or more parameters.

5. 发明授权

US10477031B2 System and method for suppression of non-linear acoustic echoes 有权
公开(公告)号：US10477031B2
公开(公告)日：2019-11-12
申请号：US15781887
申请日：2015-12-08
申请人： Nuance Communications, Inc.
发明人： Ingo Schalk-Schupp , Markus Buck , Friedrich Faubel
IPC分类号： H04M9/08 , G10L21/0232 , G10L21/0264 , G10L21/0208 , H04M1/60
摘要： A method for residual echo suppression is provided. Embodiments may include receiving an original reference signal and applying a distortion function to the original reference signal to generate a second signal. Embodiments may include generating a non-linear signal from the distortion function that does not include linear components of the original reference signal. Embodiments may also include calculating a residual echo power of a linear component and a non-linear component, wherein the linear component is based upon the original reference signal and the non-linear component is based upon the non-linear signal. Embodiments may further include applying a room model to each of the original reference signal and the non-linear signal and estimating a power associated with the original reference signal and the non-linear signal. Embodiments may include calculating a combined echo power estimate as a weighted sum of a weighted original reference signal power and a weighted non-linear signal power.

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