4th International Conference on Spoken Language Processing

Philadelphia, PA, USA
October 3-6, 1996

Reduced Semi-continuous Models for Large Vocabulary Continuous Speech Recognition in Dutch

Kris Demuynck, Jacques Duchateau, Dirk van Compernolle

K.U. Leuven - E.S.A.T.,Heverlee, Belgium

Semi-continuous Density HMMís have - due to the decoupling between the set of gaussians and the other HMM-parameters - more possibilities than Continuous Density HMMís to match the number of parameters in the model to the available train data. The computational load of the SC-HMMís however is huge compared to the load of their continuous counterparts, because of the large mixture weighting vector and because of the fact that for each frame all gaussians have to be evaluated. This paper describes the different steps taken to reduce the computational load of the SC-HMMís, resulting in faster and better models.

Full Paper

Bibliographic reference.  Demuynck, Kris / Duchateau, Jacques / Compernolle, Dirk van (1996): "Reduced semi-continuous models for large vocabulary continuous speech recognition in Dutch", In ICSLP-1996, 2289-2292.