Flavoured Acoustic Models, an aproach to Automatic Speech Recognition in asymmetric multilingual context
Original Publication Date: 2005-Aug-31
Included in the Prior Art Database: 2005-Aug-31
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.