专利快速检索-快速检索全球专利，免费商用专利数据库-IPRDB

41. 发明授权

US07117148B2 Method of noise reduction using correction vectors based on dynamic aspects of speech and noise normalization 有权
公开(公告)号：US07117148B2
公开(公告)日：2006-10-03
申请号：US10117142
申请日：2002-04-05
申请人： James G. Droppo , Li Deng , Alejandro Acero
发明人： James G. 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.

42. 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.

43. 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.

44. 发明授权

US07107210B2 Method of noise reduction based on dynamic aspects of speech 有权
公开(公告)号：US07107210B2
公开(公告)日：2006-09-12
申请号：US10152143
申请日：2002-05-20
申请人： Li Deng , James G. Droppo , Alejandro Acero
发明人： Li Deng , James G. Droppo , Alejandro Acero
IPC分类号： G10L15/20 , 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.

45. 发明授权

US07103540B2 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：US07103540B2
公开(公告)日：2006-09-05
申请号：US10152127
申请日：2002-05-20
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 , G10L15/06 , 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。

46. 发明授权

US07080004B2 Grammar authoring system 失效
公开(公告)号：US07080004B2
公开(公告)日：2006-07-18
申请号：US10007439
申请日：2001-12-05
申请人： Ye-Yi Wang , Alejandro Acero
发明人： Ye-Yi Wang , Alejandro Acero
IPC分类号： G06F17/27 , G06F17/20
CPC分类号： G06F17/271
摘要： A grammar authoring system uses multiple sources of information to aid grammar authoring. This produces a semantic grammar derived semi-automatically with a relatively small amount of data.

47. 发明申请

US20060129397A1 System and method for identifying semantic intent from acoustic information 有权
公开(公告)号：US20060129397A1
公开(公告)日：2006-06-15
申请号：US11009630
申请日：2004-12-10
申请人： Xiao Li , Asela Gunawardana , Alejandro Acero , Milind Mahajan , Dong Yu
发明人： Xiao Li , Asela Gunawardana , Alejandro Acero , Milind Mahajan , Dong Yu
IPC分类号： G10L15/06
CPC分类号： G10L15/19 , G10L15/1815
摘要： In accordance with one embodiment of the present invention, unanticipated semantic intents are discovered in audio data in an unsupervised manner. For instance, the audio acoustics are clustered based on semantic intent and representative acoustics are chosen for each cluster. The human then need only listen to a small number of representative acoustics for each cluster (and possibly only one per cluster) in order to identify the unforeseen semantic intents.

48. 发明授权

US06959276B2 Including the category of environmental noise when processing speech signals 有权
标题翻译：包括处理语音信号时的环境噪声类别
公开(公告)号：US06959276B2
公开(公告)日：2005-10-25
申请号：US09965239
申请日：2001-09-27
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
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. Under one embodiment, the noise environment is identified by determining the probability of each of a set of possible noise environments. For some embodiments, the probabilities of the noise environments for past frames are included in the identification of an environment for a current frame. In one particular embodiment, a count is generated for each environment that indicates the number of past frames for which the environment was the most probable environment. The environment with the highest count is then selected as the environment for the current frame.
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。在一个实施例中，通过确定一组可能的噪声环境中的每一个的概率来识别噪声环境。对于一些实施例，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。在一个具体实施例中，为指示环境是最可能的环境的过去帧的数量的每个环境生成计数。然后选择具有最高计数的环境作为当前帧的环境。

49. 发明申请

US20050228670A1 Method and apparatus for predicting word error rates from text 有权
标题翻译：用于从文本中预测字错误率的方法和装置
公开(公告)号：US20050228670A1
公开(公告)日：2005-10-13
申请号：US11146324
申请日：2005-06-06
申请人： Milind Mahajan , Yonggang Deng , Alejandro Acero , Asela Gunawardana , Ciprian Chelba
发明人： Milind Mahajan , Yonggang Deng , Alejandro Acero , Asela Gunawardana , Ciprian Chelba
IPC分类号： G10L15/28 , G10L13/08 , G10L15/00 , G10L15/06 , G10L15/14 , G10L15/18
CPC分类号： G10L15/197 , G10L15/183
摘要： A method of modeling a speech recognition system includes decoding a speech signal produced from a training text to produce a sequence of predicted speech units. The training text comprises a sequence of actual speech units that is used with the sequence of predicted speech units to form a confusion model. In further embodiments, the confusion model is used to decode a text to identify an error rate that would be expected if the speech recognition system decoded speech based on the text.
摘要翻译：对语音识别系统进行建模的方法包括对从训练文本产生的语音信号进行解码以产生预测语音单元的序列。训练文本包括与预测语音单元的序列一起使用以形成混淆模型的实际语音单元的序列。在另外的实施例中，混淆模型用于对文本进行解码以识别如果语音识别系统基于文本解码的语音将会预期的错误率。

50. 发明申请

US20050033571A1 Head mounted multi-sensory audio input system 审中-公开
标题翻译：头戴式多声道音频输入系统
公开(公告)号：US20050033571A1
公开(公告)日：2005-02-10
申请号：US10636176
申请日：2003-08-07
申请人： Xuedong Huang , Zicheng Liu , Zhengyou Zhang , Michael Sinclair , Alejandro Acero
发明人： Xuedong Huang , Zicheng Liu , Zhengyou Zhang , Michael Sinclair , Alejandro Acero
IPC分类号： G10L11/02 , G10L15/20 , G10L15/24 , H04R1/10 , H04R1/14 , H04R25/00 , G10L15/00
CPC分类号： H04R1/14 , G10L15/20 , G10L15/24 , G10L25/78 , H04R1/083 , H04R1/1008 , H04R5/033 , H04R2460/13
摘要： The present invention combines a conventional audio microphone with an additional speech sensor that provides a speech sensor signal based on an input. The speech sensor signal is generated based on an action undertaken by a speaker during speech, such as facial movement, bone vibration, throat vibration, throat impedance changes, etc. A speech detector component receives an input from the speech sensor and outputs a speech detection signal indicative of whether a user is speaking. The speech detector generates the speech detection signal based on the microphone signal and the speech sensor signal.
摘要翻译：本发明将常规音频麦克风与基于输入提供语音传感器信号的附加话音传感器组合。语音传感器信号基于语音中的扬声器在诸如面部运动，骨骼振动，喉部振动，喉部阻抗变化等中的动作而产生。语音检测器组件从语音传感器接收输入并输出语音检测指示用户是否正在说话的信号。语音检测器基于麦克风信号和语音传感器信号产生语音检测信号。

你已经成功收藏专利！

检索式保存成功!

IPRDB

热门服务

关于我们

友情链接

联系方式