4th International Conference on Spoken Language Processing

Philadelphia, PA, USA
October 3-6, 1996

Cross Phone State Clustering using Lexical Stress and Context

J. Hogberg, Kare Sjölander

Department of Speech, Music and Hearing, KTH, Stockholm, Sweden

This study deals with acoustic phonetic modelling in HMM based continuous speech recognition. Context dependent phone models were derived by a decision tree clustering algorithm. In particular, lexical stress was introduced as a clustering variable in addition to the phonetic context. The parameter sharing model was extended by tying HMM states across different target phones. For instance, one or more states of a tense vowel and the corresponding lax vowel were tied if they proved to be acoustically similar. The results indicate that the use of lexical stress information in acoustic modelling might be fruitful when large amounts of training data are available.

Full Paper

Bibliographic reference.  Hogberg, J. / Sjölander, Kare (1996): "Cross phone state clustering using lexical stress and context", In ICSLP-1996, 474-477.