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1. 发明申请

US20050114124A1 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：US20050114124A1
公开(公告)日：2005-05-26
申请号：US10724008
申请日：2003-11-26
申请人： Zicheng Liu , Michael Sinclair , Alejandro Acero , Xuedong Huang , James Droppo , Li Deng , Zhengyou Zhang , Yanli Zheng
发明人： Zicheng Liu , Michael Sinclair , Alejandro Acero , Xuedong Huang , James 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。

2. 发明申请

US20060072767A1 Method and apparatus for multi-sensory speech enhancement 有权
公开(公告)号：US20060072767A1
公开(公告)日：2006-04-06
申请号：US10944235
申请日：2004-09-17
申请人： Zhengyou Zhang , Alejandro Acero , James Droppo , Xuedong Huang , Zicheng Liu
发明人： Zhengyou Zhang , Alejandro Acero , James Droppo , Xuedong Huang , Zicheng Liu
IPC分类号： G10K11/16
CPC分类号： H04R3/005 , G10L21/0208 , G10L2021/02161 , H04R2460/13
摘要： A method and apparatus determine a channel response for an alternative sensor using an alternative sensor signal and an air conduction microphone signal. The channel response is then used to estimate a clean speech value using at least a portion of the alternative sensor signal.

3. 发明申请

US20060293887A1 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：US20060293887A1
公开(公告)日：2006-12-28
申请号：US11168770
申请日：2005-06-28
申请人： Zhengyou Zhang , Zicheng Liu , Alejandro Acero , Amarnag Subramanya , James Droppo
发明人： Zhengyou Zhang , Zicheng Liu , Alejandro Acero , Amarnag Subramanya , James Droppo
IPC分类号： 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。

4. 发明申请

US20050259558A1 Noise reduction using correction vectors based on dynamic aspects of speech and noise normalization 有权
标题翻译：基于语音和噪声归一化的动态方面的校正矢量降噪
公开(公告)号：US20050259558A1
公开(公告)日：2005-11-24
申请号：US11189974
申请日：2005-07-26
申请人： James Droppo , Li Deng , Alejandro Acero
发明人： James Droppo , Li Deng , Alejandro Acero
IPC分类号： G10L21/02 , G11B7/00 , G11B7/24
CPC分类号： G10L21/0208
摘要： A method and apparatus are provided for reducing noise in a signal. Under one aspect of the invention, a correction vector is selected based on a noisy feature vector that represents a noisy signal. The selected correction vector incorporates dynamic aspects of pattern signals. The selected correction vector is then added to the noisy feature vector to produce a cleaned feature vector. In other aspects of the invention, a noise value is produced from an estimate of the noise in a noisy signal. The noise value is subtracted from a value representing a portion of the noisy signal to produce a noise-normalized value. The noise-normalized value is used to select a correction value that is added to the noise-normalized value to produce a cleaned noise-normalized value. The noise value is then added to the cleaned noise-normalized value to produce a cleaned value representing a portion of a cleaned signal.
摘要翻译：提供了一种降低信号噪声的方法和装置。在本发明的一个方面，基于表示噪声信号的噪声特征向量来选择校正矢量。所选择的校正矢量包含模式信号的动态方面。然后将所选择的校正向量加到噪声特征向量中以产生清除的特征向量。在本发明的其他方面，噪声值是由噪声信号中的噪声的估计产生的。从表示噪声信号的一部分的值中减去噪声值，以产生噪声归一化值。噪声归一化值用于选择加到噪声归一化值的校正值以产生清洁的噪声归一化值。然后将噪声值添加到清洁的噪声归一化值，以产生表示清洁信号的一部分的清洁值。

5. 发明申请

US20060178880A1 Method and apparatus for reducing noise corruption from an alternative sensor signal during multi-sensory speech enhancement 有权
公开(公告)号：US20060178880A1
公开(公告)日：2006-08-10
申请号：US11050936
申请日：2005-02-04
申请人： Zhengyou Zhang , Amarnag Subramanya , James Droppo , Zicheng Liu
发明人： Zhengyou Zhang , Amarnag Subramanya , James Droppo , Zicheng Liu
IPC分类号： G10L15/20
CPC分类号： G10L21/0208 , G10L2021/02165
摘要： A method and apparatus classify a portion of an alternative sensor signal as either containing noise or not containing noise. The portions of the alternative sensor signal that are classified as containing noise are not used to estimate a portion of a clean speech signal and the channel response associated with the alternative sensor. The portions of the alternative sensor signal that are classified as not containing noise are used to estimate a portion of a clean speech signal and the channel response associated with the alternative sensor.

6. 发明申请

US20060206325A1 Method of pattern recognition using noise reduction uncertainty 有权
公开(公告)号：US20060206325A1
公开(公告)日：2006-09-14
申请号：US11435254
申请日：2006-05-16
申请人： James Droppo , Alejandro Acero , Li Deng
发明人： James Droppo , Alejandro Acero , Li Deng
IPC分类号： G10L15/20
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.

7. 发明申请

US20060206322A1 Method of noise reduction based on dynamic aspects of speech 有权
公开(公告)号：US20060206322A1
公开(公告)日：2006-09-14
申请号：US11433873
申请日：2006-05-12
申请人： Li Deng , James Droppo , Alejandro Acero
发明人： Li Deng , James Droppo , Alejandro Acero
IPC分类号： G10L21/02
CPC分类号： G10L21/0208 , G10L15/20
摘要： A system and method are provided that reduce noise in pattern recognition signals. To do this, embodiments of the present invention utilize a prior model of dynamic aspects of clean speech together with one or both of a prior model of static aspects of clean speech, and an acoustic model that indicates the relationship between clean speech, noisy speech and noise. In one embodiment, components of a noise-reduced feature vector are produced by forming a weighted sum of predicted values from the prior model of dynamic aspects of clean speech, the prior model of static aspects of clean speech and the acoustic-environmental model.

8. 发明申请

US20050071157A1 Method and apparatus for identifying noise environments from noisy signals 有权
标题翻译：用于从噪声信号中识别噪声环境的方法和装置
公开(公告)号：US20050071157A1
公开(公告)日：2005-03-31
申请号：US10985896
申请日：2004-11-10
申请人： James Droppo , Alejandro Acero , Li Deng
发明人： James Droppo , Alejandro Acero , Li Deng
IPC分类号： G10L15/20 , G10L21/02 , G10L21/00
CPC分类号： G10L21/0208 , G10L15/20 , G10L21/0216
摘要： A method and apparatus are provided for identifying a noise environment for a frame of an input signal based on at least one feature for that frame. To identify the noise environment, a probability for a noise environment is determined by applying the noisy input feature vector to a distribution of noisy training feature vectors. In one embodiment, each noisy training feature vector in the distribution is formed by modifying a set of clean training feature vectors. In one embodiment, the probabilities of the noise environments for past frames are included in the identification of an environment for a current frame. In one embodiment, a correction vector is then selected based on the identified noise environment.
摘要翻译：提供了一种方法和装置，用于基于该帧的至少一个特征来识别输入信号的帧的噪声环境。为了识别噪声环境，通过将噪声输入特征向量应用于噪声训练特征向量的分布来确定噪声环境的概率。在一个实施例中，通过修改一组干净的训练特征向量来形成分布中的每个噪声训练特征向量。在一个实施例中，过去帧的噪声环境的概率被包括在当前帧的环境的识别中。在一个实施例中，然后基于所识别的噪声环境来选择校正矢量。

9. 发明申请

US20070106504A1 Method of determining uncertainty associated with acoustic distortion-based noise reduction 有权
标题翻译：确定与基于声学失真的噪声降低有关的方法
公开(公告)号：US20070106504A1
公开(公告)日：2007-05-10
申请号：US11642389
申请日：2006-12-20
申请人： Li Deng , Alejandro Acero , James Droppo
发明人： Li Deng , Alejandro Acero , James Droppo
IPC分类号： G10L21/02
CPC分类号： G10L15/20 , G10L21/0208
摘要： A method and apparatus are provided for determining uncertainty in noise reduction based on a parametric model of speech distortion. The method is first used to reduce noise in a noisy signal. In particular, noise is reduced from a representation of a portion of a noisy signal to produce a representation of a cleaned signal by utilizing an acoustic environment model. The uncertainty associated with the noise reduction process is then computed. In one embodiment, the uncertainty of the noise reduction process is used, in conjunction with the noise-reduced signal, to decode a pattern state.
摘要翻译：提供了一种基于语音失真的参数模型来确定降噪中的不确定性的方法和装置。该方法首先用于降低噪声信号中的噪声。特别地，从噪声信号的一部分的表示中减少噪声，以通过利用声学环境模型来产生清洁信号的表示。然后计算与降噪过程相关的不确定性。在一个实施例中，噪声降低处理的不确定性结合降噪信号被用于解码图案状态。

10. 发明申请

US20060206321A1 Noise reduction using correction vectors based on dynamic aspects of speech and noise normalization 有权
公开(公告)号：US20060206321A1
公开(公告)日：2006-09-14
申请号：US11429630
申请日：2006-05-05
申请人： James Droppo , Li Deng , Alejandro Acero
发明人： James Droppo , Li Deng , Alejandro Acero
IPC分类号： G10L21/02
CPC分类号： G10L21/0208
摘要： A method and apparatus are provided for reducing noise in a signal. Under one aspect of the invention, a correction vector is selected based on a noisy feature vector that represents a noisy signal. The selected correction vector incorporates dynamic aspects of pattern signals. The selected correction vector is then added to the noisy feature vector to produce a cleaned feature vector. In other aspects of the invention, a noise value is produced from an estimate of the noise in a noisy signal. The noise value is subtracted from a value representing a portion of the noisy signal to produce a noise-normalized value. The noise-normalized value is used to select a correction value that is added to the noise-normalized value to produce a cleaned noise-normalized value. The noise value is then added to the cleaned noise-normalized value to produce a cleaned value representing a portion of a cleaned signal.

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