Invention Grant
- Patent Title: Online maximum-likelihood mean and variance normalization for speech recognition
- Patent Title (中): 语音识别的在线最大似然均值和方差归一化
-
Application No.: US13518405Application Date: 2010-02-22
-
Publication No.: US08996368B2Publication Date: 2015-03-31
- Inventor: Daniel Willett
- Applicant: Daniel Willett
- Applicant Address: US MA Burlington
- Assignee: Nuance Communications, Inc.
- Current Assignee: Nuance Communications, Inc.
- Current Assignee Address: US MA Burlington
- Agency: Banner & Witcoff, Ltd.
- International Application: PCT/US2010/024890 WO 20100222
- International Announcement: WO2011/102842 WO 20110825
- Main IPC: G10L15/00
- IPC: G10L15/00 ; G10L15/02 ; G10L15/20 ; G10L15/08 ; G10L15/34

Abstract:
A feature transform for speech recognition is described. An input speech utterance is processed to produce a sequence of representative speech vectors. A time-synchronous speech recognition pass is performed using a decoding search to determine a recognition output corresponding to the speech input. The decoding search includes, for each speech vector after some first threshold number of speech vectors, estimating a feature transform based on the preceding speech vectors in the utterance and partial decoding results of the decoding search. The current speech vector is then adjusted based on the current feature transform, and the adjusted speech vector is used in a current frame of the decoding search.
Public/Granted literature
- US20120259632A1 Online Maximum-Likelihood Mean and Variance Normalization for Speech Recognition Public/Granted day:2012-10-11
Information query