Adaptation Strategies for the Acoustic and Language Models in Bilingual Speech Transcription
Javier Dieguez-Tirado, Carmén García Mateo, Laura Docío-Fernández, Antonio Cardenal-López · 2006
The paper describes our current work on speech-to-text transcription for recordings in two languages. The experimental framework consists of television news shows in Galician and, to some extent, Spanish languages. A priori language detection is avoided so a bilingual speech recognition system has been developed and its performance is presented. Better results are obtained when speaker and speech style is taken into account through adaptation of both acoustic and language models. Special attention must be paid to the limited resources available in the experimental framework.