Title :
Study on the Chinese continuous speech recognition under noise environments based on PCANN/HMM
Author :
Ming, Chen Guo ; Li, Zhao ; Rong, Zou Cai ; Yang, Wu Zhen
Author_Institution :
Dept. of Radio Eng., Southeast Univ., Nanjing, China
Abstract :
This paper presents a method to improve the noise robustness of Chinese continuous speech recognition system based on the PCANN/HMM hybrid structure. By using the principal components combined by successive multi-frames as the input of HMM, it introduces the dependency between frames and also reduces the noise effectively. And in this paper, we also improve the traditional spectral subtraction method. Experimental results demonstrate the efficiency of the new algorithms in Chinese continuous speech recognition under high noisy environments.
Keywords :
acoustic noise; hidden Markov models; neural nets; principal component analysis; spectral analysis; speech recognition; Chinese continuous speech recognition; HMM; PCANN; hidden Markov model; noise environments; principal component analysis neural network; spectral subtraction method; Algorithm design and analysis; Computational complexity; Hidden Markov models; Neural networks; Noise reduction; Noise robustness; Principal component analysis; Speech analysis; Speech recognition; Working environment noise;
Conference_Titel :
Neural Networks and Signal Processing, 2003. Proceedings of the 2003 International Conference on
Conference_Location :
Nanjing
Print_ISBN :
0-7803-7702-8
DOI :
10.1109/ICNNSP.2003.1280744
