发明名称 Method of noise reduction based on dynamic aspects of speech
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.
申请公布号 US2006206322(A1) 申请公布日期 2006.09.14
申请号 US20060433873 申请日期 2006.05.12
申请人 MICROSOFT CORPORATION 发明人 DENG LI;DROPPO JAMES G.;ACERO ALEJANDRO
分类号 G10L21/02;G10L15/20 主分类号 G10L21/02
代理机构 代理人
主权项
地址