ISSN 1002-1027  CN 11-2952/G2

Acta scientiarum naturalium Universitatis Pekinensis

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Noisy Chinese Speech Recognition Based on Linear Prediction of One-sided Autocorrelation Sequence

HUANG Xinyu, WU Shuzhen   

  1. Department of Electronics, Peking University, Beijing, 100871
  • Received:1999-10-21 Online:2000-09-20 Published:2000-09-20

Abstract: A new way is supplied to increase the recognition rate of Chinese speech in noise. It includes two parts. One is using the autocorrelation function to detect the speech terminal, the other is using the coefficients based on the one-sided autocorrelation sequence to replace the original speech signal and then extract the speech feature to recognize. Isolated word recognition experiment based on DTW shows: it can reduce the disturbance of noise effectively and get the high recognition rate. It is of great advantage to apply when SNR (signal to noise rate) is low.