Transient part recognition for continuous speech using transition spotting

Author

Vicard, Dominique

Author_Institution

OROS SA, Meylan, France

fYear

1988

fDate

11-14 Apr 1988

Firstpage

461

Abstract

Describes a recognition system for the transient parts of continuous speech. The algorithm uses DTW as distortion measure, and applies it starting at each frame of the unknown signal. The localization of the transient parts in the speech signal is made using a spotting transient part dictionary, as well as with a full diphone one. The output of this system is a lattice of hypothesis among which 65% of the transitions are correctly spotted and recognized. A complete system, using a steady part recognizer has also been designed

Keywords

speech recognition; DTW; acoustic-phonetic decoding; continuous speech; diphone dictionary; distortion measure; speech recognition system; speech signal; spotting transient part dictionary; steady part recognizer; transient part recognition; transition spotting; Decoding; Dictionaries; Distortion measurement; Dynamic programming; Hidden Markov models; Lattices; Performance evaluation; Speech recognition; Testing; Vectors;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 1988. ICASSP-88., 1988 International Conference on

Conference_Location

New York, NY

ISSN

1520-6149

Type

conf

DOI

10.1109/ICASSP.1988.196618

Filename

196618

Link To Document

https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2998464