DocumentCode :
2574907
Title :
A fast lattice-based approach to vocabulary independent wordspotting
Author :
James, D.A. ; Young, S.J.
Author_Institution :
Dept. of Eng., Cambridge Univ., UK
fYear :
1994
fDate :
19-22 Apr 1994
Abstract :
Practical applications of wordspotting, such as spoken message retrieval and browsing, require the ability to process large amounts of speech data at speeds many times faster than real-time. The paper presents a novel approach to this problem in which all of the stored audio material is preprocessed off-line to generate a phoneme lattice. At search time, putative word matches are found in this lattice using symmetric dynamic programming. The paper presents the details of the algorithms used and compares performance with a number of conventional approaches using a 20 keyword vocabulary on the DARPA Resource Management Task. The results show that the proposed method is very much faster yet performs acceptably compared to conventional systems which depend on keyword-specific training or prior knowledge of the test set vocabulary
Keywords :
dynamic programming; hidden Markov models; speech recognition; 20 keyword vocabulary; DARPA Resource Management Task; audio material; browsing; fast lattice-based approach; keyword-specific training; performance; phoneme lattice; speech data; spoken message retrieval; symmetric dynamic programming; test set vocabulary; vocabulary independent wordspotting; word matches; Data engineering; Databases; Dynamic programming; Information retrieval; Lattices; Optical fiber networks; Resource management; Speech processing; Speech recognition; Vocabulary;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1994. ICASSP-94., 1994 IEEE International Conference on
Conference_Location :
Adelaide, SA
ISSN :
1520-6149
Print_ISBN :
0-7803-1775-0
Type :
conf
DOI :
10.1109/ICASSP.1994.389277
Filename :
389277
Link To Document :
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