Speaker Adaptation Using Eigenvoices Technique

Liselene de Abreu Borges, Miguel Arjona Ramírez, Rubem Dutra Ribeiro Fagundes

DOI: 10.14209/its.2002.897

Evento: 2002 International Telecommunications Symposium (ITS2002)

Keywords:

Abstract

"This paper discusses speech recognition systems (SRS) using speaker adaptation techniques. The most recent speech recognition systems use Hidden Markov Models (HMM). For such systems, the eigenvoices speaker adaptation technique presents the best performance among other techniques usually suggested by researchers. This performance is due mainly to the limited amount of data necessary to perform speaker adaptation. In our experiments we have reached improvements of around 10% in speaker adaptation system compared with the corresponding independent speaker speech recognition system and just using a very small fraction of speakers’ data. "

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