Acta scientiarum naturalium Universitatis Pekinensis
FENG Chenglin, WU Shuzhen
This paper presents a new method for speech recognition in stationary noise. By using the LPC coefficients of noise to predict all the speech signal, the method gets the LPC prediction error(LPCPE) sequence. Then use it to substitute the speech sequence to detect the speech terminal、extract the speech features and to recognize in a suitable way. Isolated words recognition experiment based on DTW shows: this method is o.k. in automatic detection of speech terminal and extraction of speech feature；and achieves very satisfying recognition rate.
FENG Chenglin,WU Shuzhen. A Study on Noisy Speech Recognition (Linear Predictive Coding Prediction Error)[J].Acta scientiarum naturalium Universitatis Pekinensis, 2000, 36(5): 665-671.
Add to citation manager EndNote|Reference Manager|ProCite|BibTeX|RefWorks