DocumentCode :
431214
Title :
Efficient Generation of high-order context-dependent Weighted Finite State Transducers for Speech Recognition
Author :
Schuster, Mike ; Hori, Takaaki
Author_Institution :
NTT Commun. Sci. Labs., NTT Corp., Kyoto, Japan
Volume :
1
fYear :
2005
fDate :
March 18-23, 2005
Firstpage :
201
Lastpage :
204
Keywords :
decision trees; finite state machines; speech recognition; 125 MB; context-dependent acoustic models; full cross-word quinphones; high-order context dependent weighted finite state transducers; high-order full cross-word models; one-pass time-synchronous search; phonetic decision trees; real-time recognition; recognition network size; recognition rate; speech recognition; tied-state triphone models; Acoustic testing; Context modeling; Databases; Decision trees; Decoding; Frequency; Laboratories; Memory management; Speech recognition; Transducers;
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.2005.1415085
Filename :
1415085
Link To Document :
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