Abstract

HTK is a portable software toolkit for developing systems using continuous density hidden Markov models developed by the Cambridge University Speech Group. This paper describes speech recognition experiments using HTK based systems for the DARPA Resource Management (RM) task. In particular good performance is obtained using a tied-state triphone based multiple mixture approach. This system was used in the final DARPA RM evaluation (September 1992) and was found to perform at a similar level to the main DARPA systems, and yet be efficient in terms of the total of parameters and computational load. The results for that system are given along with some recent experiments that investigated the use of male-female modelling in a tied-state HMM system. Keywords: Hidden Markov Models, Resource Management, State Clustering, HTK. 1. INTRODUCTION This paper describes the use of HTK (HMM toolkit) in building speech recognisers for the DARPA Resource Management (RM) task. HTK is a software toolki...

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