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Technical Program

Paper Detail

Paper:	SLP-P18.7
Session:	LVCSR Systems
Time:	Friday, May 19, 10:00 - 12:00
Presentation:	Poster
Topic:	Speech and Spoken Language Processing: Multilingual Speech recognition
Title:	ACOUSTIC-PHONETIC UNIT SIMILARITIES FOR CONTEXT DEPENDENT ACOUSTIC MODEL PORTABILITY
Authors:	Viet-Bac Le, Laurent Besacier, CLIPS / IMAG, France; Tanja Schultz, Carnegie Mellon University, United States
Abstract:	This paper addresses particularly the use of acoustic-phonetic unit similarities for portability of context dependent acoustic models to new languages. Since the IPA-based method is limited to a source/target phoneme mapping table construction, an estimation method of the similarity between two phonemes is proposed in this paper. Based on these phoneme similarities, some estimation methods for polyphone similarity and clustered polyphonic model similarity are investigated. For a new language, first a polyphonic decision tree is built with a small amount of speech data. Then, clustered models in the target language are duplicated from the nearest clustered models in the source language and adapted with limited data to the target language. Results obtained from the experiments demonstrate the feasibility of these methods.