DocumentCode
2731773
Title
Improved Bayesian approach to robust speech segmentation
Author
Wenjun, Zhang ; Jianying, Xie
Author_Institution
Dept. of Autom., Shanghai Jiao Tong Univ., China
Volume
2
fYear
2003
fDate
14-17 Dec. 2003
Firstpage
879
Abstract
To enhance the robustness of speech segmentation, this paper presents the improved segmentation model based on Bayesian method which combined with a prior probability which is independent to noise feature as the compensation for the mismatch of acoustic model. We evaluated and compared the performance of different methods in speech segmentation experiment.
Keywords
Bayes methods; hidden Markov models; speech processing; Bayesian method; acoustic model; hidden Markov models; probability; robust speech segmentation; segmentation model; Acoustic noise; Bayesian methods; Databases; Hidden Markov models; Noise robustness; Signal processing algorithms; Speech analysis; Speech enhancement; Speech recognition; Working environment noise;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks and Signal Processing, 2003. Proceedings of the 2003 International Conference on
Conference_Location
Nanjing
Print_ISBN
0-7803-7702-8
Type
conf
DOI
10.1109/ICNNSP.2003.1280740
Filename
1280740
Link To Document