[1]WANG Zhen-li,PEI Ling-bo,YU Yuan-bin.A robust speech recognition method by combining noise cancelling and cepstral mean subtraction[J].CAAI Transactions on Intelligent Systems,2008,3(6):552-556.
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A robust speech recognition method by combining noise cancelling and cepstral mean subtraction

CAAI Transactions on Intelligent Systems[ISSN 1673-4785/CN 23-1538/TP] Volume: 3 Number of periods: 2008 6 Page number: 552-556 Column: 学术论文—机器感知与模式识别 Public date: 2008-12-25
Title:
A robust speech recognition method by combining noise cancelling and cepstral mean subtraction
Author(s):
WANG Zhen-li1;  PEI Ling-bo2;  YU Yuan-bin1
1.Postdoctoral Station, Nanjing University of International Relations, Nanjing 210039, China；2.Training Department, The Command Academy of Engineer Corps, Xuzhou 221004, China
Keywords:
adaptive noise cancelling; speech enhancement; spectral subtraction; noise robust speech recognition; cepstral mean subtraction
CLC:
TN912.34
DOI:
-
Abstract:
A noise resistant speech recognition method based on a speech enhancement algorithm was implemented. First,it obtains the denoised speech, with significant SNR (signaltonoise ratio) improvement, by applying adaptive noise cancelling (ANC) to the pretreatment stage of speech recognition. Then Melfrequency cepstral coefficients（MFCC）are computed from the enhanced speech. Then cepstral mean subtraction (CMS) is used to compensate for components of distortion and the residual noise of the enhanced speech in the cepstral domain. When speech samples have a low SNR, ranging from 0 to 12dB, experimental results indicate that the proposed method performs better than a standard MFCC recognizer, conventional spectral subtraction (SS) and the ANC speech enhancement for digital speech recognition.
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