DocumentCode :
2264506
Title :
Speech recognition using sub-word units dependent on phonetic contexts of both training and recognition vocabularies
Author :
Hattori, Hiroaki ; Yamada, Eiko
Author_Institution :
C&C Inf. Technol. Res. Labs., NEC Corp., Kawasaki, Japan
Volume :
4
fYear :
1996
fDate :
3-6 Oct 1996
Firstpage :
2309
Abstract :
Proposes a new speech recognition algorithm using a new context-dependent recognition unit design method for efficient and precise acoustic modeling. This algorithm uses both training and recognition vocabularies to select context-dependent units which precisely represent acoustic variations due to phonetic contexts in a recognition vocabulary. An efficient training algorithm for selected context-dependent units is also proposed. In speaker-independent isolated-word recognition experiments, the proposed algorithm gave a 11% error reduction for 5000-word recognition, and gave a 43% error reduction for 10-digit recognition. These results confirmed the effectiveness of the proposed method
Keywords :
acoustics; learning (artificial intelligence); speech recognition; vocabulary; acoustic modeling; acoustic variations; context-dependent recognition unit design method; digit recognition; efficient training algorithm; error reduction; phonetic contexts; recognition vocabulary; speaker-independent isolated-word recognition; speech recognition algorithm; sub-word units; training vocabulary; Context modeling; Design methodology; Flowcharts; Hidden Markov models; Information technology; Laboratories; National electric code; Speech recognition; Training data; Vocabulary;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Spoken Language, 1996. ICSLP 96. Proceedings., Fourth International Conference on
Conference_Location :
Philadelphia, PA
Print_ISBN :
0-7803-3555-4
Type :
conf
DOI :
10.1109/ICSLP.1996.607269
Filename :
607269
Link To Document :
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