Invention Grant
US07729908B2 Joint signal and model based noise matching noise robustness method for automatic speech recognition
有权
基于信号和模型的噪声匹配噪声鲁棒性自动语音识别方法
- Patent Title: Joint signal and model based noise matching noise robustness method for automatic speech recognition
- Patent Title (中): 基于信号和模型的噪声匹配噪声鲁棒性自动语音识别方法
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Application No.: US11369936Application Date: 2006-03-06
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Publication No.: US07729908B2Publication Date: 2010-06-01
- Inventor: Luca Rigazio , David Kryze , Keiko Morii , Nobuyuki Kunieda , Jean-Claude Junqua
- Applicant: Luca Rigazio , David Kryze , Keiko Morii , Nobuyuki Kunieda , Jean-Claude Junqua
- Applicant Address: JP Osaka
- Assignee: Panasonic Corporation
- Current Assignee: Panasonic Corporation
- Current Assignee Address: JP Osaka
- Agency: Harness, Dickey & Pierce, P.L.C.
- Main IPC: G10L15/20
- IPC: G10L15/20 ; G10L15/06 ; G10L21/02

Abstract:
A noise robustness method operates jointly in a signal domain and a model domain. For example, energy is added in the signal domain for frequency bands where an actual noise level of an incoming signal is lower than a noise level used to train models, thus obtaining a compensated signal. Also, energy is added in the model domain for frequency bands where noise level of the incoming signal or the compensated signal is higher than the noise level used to train the models. Moreover, energy is never removed, thereby avoiding problems of higher sensitivity of energy removal to estimation errors.
Public/Granted literature
- US20070208559A1 Joint signal and model based noise matching noise robustness method for automatic speech recognition Public/Granted day:2007-09-06
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