DocumentCode
431256
Title
An Environment Compensated Maximum Likelihood Training Approach Based on Stochastic Vector Mapping
Author
Wu, Jian ; Huo, Qiang ; Zhu, Donglai
Author_Institution
Dept. of Comput. Sci., Hong Kong Univ., China
Volume
1
fYear
2005
fDate
March 18-23, 2005
Firstpage
429
Lastpage
432
Keywords
compensation; hidden Markov models; learning (artificial intelligence); maximum likelihood estimation; parameter estimation; speech recognition; HMM; SVM; SVM function parameter estimation; environment compensated ML training method; environmental variabilities; frame-dependent bias removal; speech recognition robustness; speech recognizer learning behavior; stochastic vector mapping; Automatic speech recognition; Databases; Hidden Markov models; Maximum likelihood estimation; Robustness; Speech recognition; Stochastic processes; Support vector machine classification; Support vector machines; Training data;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics, Speech, and Signal Processing, 2005. Proceedings. (ICASSP '05). IEEE International Conference on
ISSN
1520-6149
Print_ISBN
0-7803-8874-7
Type
conf
DOI
10.1109/ICASSP.2005.1415142
Filename
1415142
Link To Document