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1. 发明授权

US08731916B2 Online distorted speech estimation within an unscented transformation framework 有权
标题翻译：一个无限转换框架内的在线扭曲语音估计
公开(公告)号：US08731916B2
公开(公告)日：2014-05-20
申请号：US12948935
申请日：2010-11-18
申请人： Deng Li , Jinyu Li , Dong Yu , Yifan Gong
发明人： Deng Li , Jinyu Li , Dong Yu , Yifan Gong
IPC分类号： G10L21/02
CPC分类号： G10L19/005 , G10L15/20
摘要： Noise and channel distortion parameters in the vectorized logarithmic or the cepstral domain for an utterance may be estimated, and subsequently the distorted speech parameters in the same domain may be updated using an unscented transformation framework during online automatic speech recognition. An utterance, including speech generated from a transmission source for delivery to a receiver, may be received by a computing device. The computing device may execute instructions for applying the unscented transformation framework to speech feature vectors, representative of the speech, in order to estimate, in a sequential or online manner, static noise and channel distortion parameters and dynamic noise distortion parameters in the unscented transformation framework. The static and dynamic parameters for the distorted speech in the utterance may then be updated from clean speech parameters and the noise and channel distortion parameters using non-linear mapping.
摘要翻译：可以估计用于话语的向量化对数或倒频域中的噪声和信道失真参数，并且随后可以在在线自动语音识别期间使用无密码变换框架来更新相同域中的失真语音参数。包括从发送源产生的用于传送到接收机的语音的话语可以被计算设备接收。计算设备可以执行用于将无声变换框架应用于代表语音的语音特征向量的指令，以便以顺序或在线方式估计无密度变换框架中的静态噪声和信道失真参数以及动态噪声失真参数。然后可以使用非线性映射从干净的语音参数和噪声和信道失真参数中更新话音中失真语音的静态和动态参数。

2. 发明申请

US20120130710A1 ONLINE DISTORTED SPEECH ESTIMATION WITHIN AN UNSCENTED TRANSFORMATION FRAMEWORK 有权
标题翻译：在一个未经规定的转换框架内的在线失真的语音估计
公开(公告)号：US20120130710A1
公开(公告)日：2012-05-24
申请号：US12948935
申请日：2010-11-18
申请人： Deng Li , Jinyu Li , Dong Yu , Yifan Gong
发明人： Deng Li , Jinyu Li , Dong Yu , Yifan Gong
IPC分类号： G10L15/00
CPC分类号： G10L19/005 , G10L15/20
摘要： Noise and channel distortion parameters in the vectorized logarithmic or the cepstral domain for an utterance may be estimated, and subsequently the distorted speech parameters in the same domain may be updated using an unscented transformation framework during online automatic speech recognition. An utterance, including speech generated from a transmission source for delivery to a receiver, may be received by a computing device. The computing device may execute instructions for applying the unscented transformation framework to speech feature vectors, representative of the speech, in order to estimate, in a sequential or online manner, static noise and channel distortion parameters and dynamic noise distortion parameters in the unscented transformation framework. The static and dynamic parameters for the distorted speech in the utterance may then be updated from clean speech parameters and the noise and channel distortion parameters using non-linear mapping.
摘要翻译：可以估计用于话语的向量化对数或倒频域中的噪声和信道失真参数，并且随后可以在在线自动语音识别期间使用无密码变换框架来更新相同域中的失真语音参数。包括从发送源产生的用于传送到接收机的语音的话语可以被计算设备接收。计算设备可以执行用于将无声变换框架应用于代表语音的语音特征向量的指令，以便以顺序或在线方式估计无密度变换框架中的静态噪声和信道失真参数以及动态噪声失真参数。然后可以使用非线性映射从干净的语音参数和噪声和信道失真参数中更新话音中失真语音的静态和动态参数。

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