Cross-language adaptation of acoustic models in automatic speech recognition

Abstract

The paper presents results for adapting speaker independent acoustic phone models for English speech using relatively small amounts of Afrikaans adaptation data and testing results on a speaker independent Afrikaans test set. Two methods for adaptation are employed; maximum a posteriori probability (MAP) and maximum likelihood linear regression (MLLR) adaptation.