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Flavoured Acoustic Models, an aproach to Automatic Speech Recognition in asymmetric multilingual context

IP.com Disclosure Number: IPCOM000127544D
Original Publication Date: 2005-Aug-31
Included in the Prior Art Database: 2005-Aug-31
Document File: 2 page(s) / 80K

Publishing Venue

IBM

Abstract

The problem addressed is Automatic Speech Recognition (ASR) in an asymmetric multilingual context: in such a cultural environment, speakers of one language (hereafter called main language) are often using words of another language (influencing language), and pronouncing them with near-native accent. A common example is the French Language as spoken in Canada (Fr_CA), which is strongly influenced by English. We describe here a new approach, Flavoured Acoustic Models, allowing suitable acoustic modelling aiming at better ASR accuracy in this context.