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1. 发明授权

US07925502B2 Pitch model for noise estimation 有权
标题翻译：用于噪声估计的间距模型
公开(公告)号：US07925502B2
公开(公告)日：2011-04-12
申请号：US11788323
申请日：2007-04-19
申请人： James G. Droppo , Alejandro Acero , Luis Buera
发明人： James G. Droppo , Alejandro Acero , Luis Buera
IPC分类号： G10L11/06
CPC分类号： G10L21/02
摘要： Pitch is tracked for individual samples, which are taken much more frequently than an analysis frame. Speech is identified based on the tracked pitch and the speech components of the signal are removed with a time-varying filter, leaving only an estimate of a time-varying speech signal. This estimate is then used to generate a time-varying noise model which, in turn, can be used to enhance speech related systems.
摘要翻译：跟踪单个样本的间距，比分析框架更频繁。基于跟踪音调识别语音，并且用时变滤波器去除信号的语音分量，仅留下时变语音信号的估计。然后，该估计用于产生随时间变化的噪声模型，该模型又可用于增强语音相关系统。

2. 发明授权

US08180636B2 Pitch model for noise estimation 有权
标题翻译：用于噪声估计的间距模型
公开(公告)号：US08180636B2
公开(公告)日：2012-05-15
申请号：US13042000
申请日：2011-03-07
申请人： James G. Droppo , Alejandro Acero , Luis Buera
发明人： James G. Droppo , Alejandro Acero , Luis Buera
IPC分类号： G10L15/20
CPC分类号： G10L21/02
摘要： Pitch is tracked for individual samples, which are taken much more frequently than an analysis frame. Speech is identified based on the tracked pitch and the speech components of the signal are removed with a time-varying filter, leaving only an estimate of a time-varying speech signal. This estimate is then used to generate a time-varying noise model which, in turn, can be used to enhance speech related systems.
摘要翻译：跟踪单个样本的间距，比分析框架更频繁。基于跟踪音调识别语音，并且用时变滤波器去除信号的语音分量，仅留下时变语音信号的估计。然后，该估计用于产生随时间变化的噪声模型，该模型又可用于增强语音相关系统。

3. 发明申请

US20110161078A1 PITCH MODEL FOR NOISE ESTIMATION 有权
标题翻译：用于噪声估计的PITCH模型
公开(公告)号：US20110161078A1
公开(公告)日：2011-06-30
申请号：US13042000
申请日：2011-03-07
申请人： James G. Droppo , Alejandro Acero , Luis Buera
发明人： James G. Droppo , Alejandro Acero , Luis Buera
IPC分类号： G10L15/20
CPC分类号： G10L21/02
摘要： Pitch is tracked for individual samples, which are taken much more frequently than an analysis frame. Speech is identified based on the tracked pitch and the speech components of the signal are removed with a time-varying filter, leaving only an estimate of a time-varying speech signal. This estimate is then used to generate a time-varying noise model which, in turn, can be used to enhance speech related systems.
摘要翻译：跟踪单个样本的间距，比分析框架更频繁。基于跟踪音调识别语音，并且用时变滤波器去除信号的语音分量，仅留下时变语音信号的估计。然后，该估计用于产生随时间变化的噪声模型，该模型又可用于增强语音相关系统。

4. 发明申请

US20080215321A1 Pitch model for noise estimation 有权
标题翻译：用于噪声估计的间距模型
公开(公告)号：US20080215321A1
公开(公告)日：2008-09-04
申请号：US11788323
申请日：2007-04-19
申请人： James G. Droppo , Alejandro Acero , Luis Buera
发明人： James G. Droppo , Alejandro Acero , Luis Buera
IPC分类号： G10L15/00
CPC分类号： G10L21/02
摘要： Pitch is tracked for individual samples, which are taken much more frequently than an analysis frame. Speech is identified based on the tracked pitch and the speech components of the signal are removed with a time-varying filter, leaving only an estimate of a time-varying speech signal. This estimate is then used to generate a time-varying noise model which, in turn, can be used to enhance speech related systems.
摘要翻译：跟踪单个样本的间距，比分析框架更频繁。基于跟踪音调识别语音，并且用时变滤波器去除信号的语音分量，仅留下时变语音信号的估计。然后，该估计用于产生随时间变化的噪声模型，该模型又可用于增强语音相关系统。

5. 发明授权

US08532985B2 Warped spectral and fine estimate audio encoding 有权
标题翻译：变形光谱和精细估计音频编码
公开(公告)号：US08532985B2
公开(公告)日：2013-09-10
申请号：US12959386
申请日：2010-12-03
申请人： Michael L. Seltzer , James G. Droppo , Henrique S. Malvar , Alejandro Acero , Xing Fan
发明人： Michael L. Seltzer , James G. Droppo , Henrique S. Malvar , Alejandro Acero , Xing Fan
IPC分类号： G10L15/02
CPC分类号： G10L15/02 , G10L15/30 , G10L19/02 , G10L19/0212
摘要： A warped spectral estimate of an original audio signal can be used to encode a representation of a fine estimate of the original signal. The representation of the warped spectral estimate and the representation of the fine estimate can be sent to a speech recognition system. The representation of the warped spectral estimate can be passed to a speech recognition engine, where it may be used for speech recognition. The representation of the warped spectral estimate can also be used along with the representation of the fine estimate to reconstruct a representation of the original audio signal.
摘要翻译：可以使用原始音频信号的翘曲频谱估计来对原始信号的精细估计的表示进行编码。翘曲光谱估计的表示和精细估计的表示可以发送到语音识别系统。翘曲频谱估计的表示可以传递到语音识别引擎，其中它可以用于语音识别。翘曲频谱估计的表示也可以与精细估计的表示一起使用以重建原始音频信号的表示。

6. 发明授权

US07769582B2 Method of pattern recognition using noise reduction uncertainty 有权
标题翻译：使用降噪不确定度的模式识别方法
公开(公告)号：US07769582B2
公开(公告)日：2010-08-03
申请号：US12180260
申请日：2008-07-25
申请人： James G. Droppo , Alejandro Acero , Li Deng
发明人： James G. Droppo , Alejandro Acero , Li Deng
IPC分类号： G10L15/20 , G10L21/02 , G10L15/14
CPC分类号： G10L21/0208 , G10L15/20
摘要： A method and apparatus are provided for using the uncertainty of a noise-removal process during pattern recognition. In particular, noise is removed from a representation of a portion of a noisy signal to produce a representation of a cleaned signal. In the meantime, an uncertainty associated with the noise removal is computed and is used with the representation of the cleaned signal to modify a probability for a phonetic state in the recognition system. In particular embodiments, the uncertainty is used to modify a probability distribution, by increasing the variance in each Gaussian distribution by the amount equal to the estimated variance of the cleaned signal, which is used in decoding the phonetic state sequence in a pattern recognition task.
摘要翻译：提供了一种在模式识别期间使用噪声去除处理的不确定性的方法和装置。特别地，从噪声信号的一部分的表示中去除噪声以产生清洁信号的表示。同时，计算与噪声去除有关的不确定性，并与清除信号的表示一起使用以修改识别系统中语音状态的概率。在特定实施例中，不确定性用于通过将每个高斯分布中的方差增加等于在模式识别任务中对语音状态序列进行解码所使用的清除信号的估计方差的量来修改概率分布。

7. 发明授权

US07680656B2 Multi-sensory speech enhancement using a speech-state model 有权
标题翻译：使用语态模型的多感官语音增强
公开(公告)号：US07680656B2
公开(公告)日：2010-03-16
申请号：US11168770
申请日：2005-06-28
申请人： Zhengyou Zhang , Zicheng Liu , Alejandro Acero , Amarnag Subramanya , James G. Droppo
发明人： Zhengyou Zhang , Zicheng Liu , Alejandro Acero , Amarnag Subramanya , James G. Droppo
IPC分类号： G10L15/00 , G10L15/20
CPC分类号： G10L21/0208 , G10L2021/02165
摘要： A method and apparatus determine a likelihood of a speech state based on an alternative sensor signal and an air conduction microphone signal. The likelihood of the speech state is used, together with the alternative sensor signal and the air conduction microphone signal, to estimate a clean speech value for a clean speech signal.
摘要翻译：方法和装置基于替代传感器信号和空气传导麦克风信号确定语音状态的可能性。使用语音状态的可能性以及替代的传感器信号和导气麦克风信号来估计干净的语音信号的清晰的语音值。

8. 发明授权

US07447630B2 Method and apparatus for multi-sensory speech enhancement 有权
标题翻译：多感官语音增强的方法和装置
公开(公告)号：US07447630B2
公开(公告)日：2008-11-04
申请号：US10724008
申请日：2003-11-26
申请人： Zicheng Liu , Michael J. Sinclair , Alejandro Acero , Xuedong D. Huang , James G. Droppo , Li Deng , Zhengyou Zhang , Yanli Zheng
发明人： Zicheng Liu , Michael J. Sinclair , Alejandro Acero , Xuedong D. Huang , James G. Droppo , Li Deng , Zhengyou Zhang , Yanli Zheng
IPC分类号： G10L21/02
CPC分类号： G10L21/0208 , G10L2021/02165
摘要： A method and system use an alternative sensor signal received from a sensor other than an air conduction microphone to estimate a clean speech value. The estimation uses either the alternative sensor signal alone, or in conjunction with the air conduction microphone signal. The clean speech value is estimated without using a model trained from noisy training data collected from an air conduction microphone. Under one embodiment, correction vectors are added to a vector formed from the alternative sensor signal in order to form a filter, which is applied to the air conductive microphone signal to produce the clean speech estimate. In other embodiments, the pitch of a speech signal is determined from the alternative sensor signal and is used to decompose an air conduction microphone signal. The decomposed signal is then used to determine a clean signal estimate.
摘要翻译：一种方法和系统使用从除空气传导麦克风以外的传感器接收的替代传感器信号来估计干净的语音值。该估计单独使用替代传感器信号，或者与导气麦克风信号一起使用。无需使用从空气传导麦克风收集的噪声训练数据训练的模型来估计干净的语音值。在一个实施例中，校正矢量被添加到由替代传感器信号形成的矢量中，以形成滤波器，该滤波器被施加到空气传导麦克风信号以产生干净的语音估计。在其他实施例中，语音信号的音调由替代传感器信号确定，并用于分解空气传导麦克风信号。然后使用分解的信号来确定干净的信号估计。

9. 发明授权

US08379891B2 Loudspeaker array design 有权
标题翻译：扬声器阵列设计
公开(公告)号：US08379891B2
公开(公告)日：2013-02-19
申请号：US12132624
申请日：2008-06-04
申请人： Ivan J. Tashev , James G. Droppo , Michael L. Seltzer , Alejandro Acero
发明人： Ivan J. Tashev , James G. Droppo , Michael L. Seltzer , Alejandro Acero
IPC分类号： H04R5/02
CPC分类号： H04R3/12 , H04R2203/12
摘要： Sound signals to be output from a loudspeaker array are modified by a plurality of filters designed according to an unconstrained optimization procedure to improve overall performance (e.g., power, directivity) of the loudspeaker array. More particularly, respective filters are configured to receive a signal to be output to a plurality of loudspeakers. Upon receiving the signal, the respective filters individually modify the received signal according to the results of the unconstrained optimization procedure and then output the individually modified signals to respective loudspeakers. The unconstrained optimization procedure takes into account manufacturing tolerances and individually enhances the signal output to each of a plurality of individual loudspeakers within an array to achieve an overall improvement in performance. In one example, a speaker system utilizes the unconstrained optimization procedure to enable a user to hear an output sound clearly, while adjacent people experience the output sound at lower volume, if at all.
摘要翻译：要从扬声器阵列输出的声音信号由根据无约束优化程序设计的多个滤波器进行修改，以改善扬声器阵列的总体性能（例如功率，方向性）。更具体地，各个滤波器被配置为接收要输出到多个扬声器的信号。在接收到信号时，各个滤波器根据无约束优化过程的结果单独修改接收的信号，然后将单独修改的信号输出到相应的扬声器。无约束优化程序考虑了制造公差，并且单独增强了阵列内的多个单独扬声器中的每一个的信号输出，以实现性能的总体改善。在一个示例中，扬声器系统利用无约束优化程序来使得用户能够清楚地听到输出声音，而相邻的人体验到较低音量的输出声音（如果有的话）。

10. 发明申请

US20120143599A1 WARPED SPECTRAL AND FINE ESTIMATE AUDIO ENCODING 有权
标题翻译：加强光谱和精细的音频编码
公开(公告)号：US20120143599A1
公开(公告)日：2012-06-07
申请号：US12959386
申请日：2010-12-03
申请人： Michael L. Seltzer , James G. Droppo , Henrique S. Malvar , Alejandro Acero , Xing Fan
发明人： Michael L. Seltzer , James G. Droppo , Henrique S. Malvar , Alejandro Acero , Xing Fan
IPC分类号： G10L19/14 , G10L19/00
CPC分类号： G10L15/02 , G10L15/30 , G10L19/02 , G10L19/0212
摘要： A warped spectral estimate of an original audio signal can be used to encode a representation of a fine estimate of the original signal. The representation of the warped spectral estimate and the representation of the fine estimate can be sent to a speech recognition system. The representation of the warped spectral estimate can be passed to a speech recognition engine, where it may be used for speech recognition. The representation of the warped spectral estimate can also be used along with the representation of the fine estimate to reconstruct a representation of the original audio signal.
摘要翻译：可以使用原始音频信号的翘曲频谱估计来对原始信号的精细估计的表示进行编码。翘曲光谱估计的表示和精细估计的表示可以发送到语音识别系统。翘曲频谱估计的表示可以被传递到语音识别引擎，其可以用于语音识别。翘曲频谱估计的表示也可以与精细估计的表示一起使用以重建原始音频信号的表示。

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