Application of Wavelet Transform and HMM Model in Recognition of Speech Signals
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TN912.34

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    Abstract:

    Some parameters based on wavelet transform and ARMA Model are presented. Wavelet transform provides a high frequency resolution, and the ARMA model is more powerful due to its including of the zeros pole in the model. The experimental result of alphabet of A to N from National Institute of Standard Technology (NIST) database is given. The error rate has been improved, especially C.

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李姣军.小波变换和HMM模型在语音识别中的应用[J].重庆大学学报,2001,24(4):61~63

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  • Received:
  • Revised:November 21,2000
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