Fourth European Conference on Speech Communication and Technology

Madrid, Spain
September 18-21, 1995

Acoustic Modeling of Context Dependent Units, for Large Vocabulary Speech Recognition in Spanish

J. Alvarez-Cercadillo, Chin-Hui Lee, Luis Hernandez-Gomez

Speech Research Department, AT&T Bell Laboratories Murray Hill, NJ, USA

We present a study on acoustic modeling of Spanish phonetic units. Bootstrap with a set of English phonetic models, we first obtain context-independent unit models for Spanish. We then compare context-dependent modeling techniques based on the conventional maximum likelihood (ML) and the maximum a posteriori (MAP) criteria. We found the MAP-based context adaptation approach produces a better result than the ML approach when a large number of units need to be modeled but the amount of training data is limited.

Full Paper

Bibliographic reference.  Alvarez-Cercadillo, J. / Lee, Chin-Hui / Hernandez-Gomez, Luis (1995): "Acoustic modeling of context dependent units, for large vocabulary speech recognition in Spanish", In EUROSPEECH-1995, 787-790.