DocumentCode :
431367
Title :
Minimum Phoneme Error Based Heteroscedastic Linear Discriminant Analysis for Speech Recognition
Author :
Zhang, Bing ; Matsoukas, Spyros
Author_Institution :
BBN Technol., Cambridge, MA, USA
Volume :
1
fYear :
2005
fDate :
March 18-23, 2005
Firstpage :
925
Lastpage :
928
Keywords :
lattice theory; learning (artificial intelligence); minimisation; natural languages; speech recognition; HMM; broadcast news; conversational telephone speech; discriminative feature analysis; discriminative training; hidden Markov models; lattice-based training; minimum phoneme error heteroscedastic linear discriminant analysis; phoneme error minimization; speech recognition; Analysis of variance; Broadcasting; Control systems; Hidden Markov models; Linear discriminant analysis; Maximum likelihood estimation; Robustness; Speech analysis; Speech recognition; Telephony;
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.2005.1415266
Filename :
1415266
Link To Document :
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