By Topic

Study on the Chinese continuous speech recognition under noise environments based on PCANN/HMM

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

4 Author(s)
Chen Guo Ming ; Dept. of Radio Eng., Southeast Univ., Nanjing, China ; Zhao Li ; Zou Cai Rong ; Wu Zhen Yang

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.

Published in:

Neural Networks and Signal Processing, 2003. Proceedings of the 2003 International Conference on  (Volume:2 )

Date of Conference:

14-17 Dec. 2003