Fourth European Conference on Speech Communication and Technology

Madrid, Spain
September 18-21, 1995

Codebook Weights Adaptation for Discriminative Training of SCHMM-Based Speech Recognition Systems

Cesar Martin del Álamo, F. Javier Caminero-Gil, Celinda de la Torre-Munilla, Lúis Hernandez-Gomez

Speech Technology Group, Telefonica Investigation y Desarrollo, Madrid, Spain

Over the past few years, there have been several published reports on the use of Maximum Mutual Information (MMIE) for training HMM parameters. Lately, some reports have appeared, proposing different solutions to avoid the computational cost associated with the low convergence of the optimization technique. This paper proposes a new method for increasing the velocity of convergence, by pre-adapting the Codebook Weights of multiple codebooks in Semi-Continuous HMM (SCHMM). Experimental results on a small vocabulary recognition task show not only a fast convergence but also a 21% error rate reduction.

Full Paper

Bibliographic reference.  Martin del Álamo, Cesar / Caminero-Gil, F. Javier / Torre-Munilla, Celinda de la / Hernandez-Gomez, Lúis (1995): "Codebook weights adaptation for discriminative training of SCHMM-based speech recognition systems", In EUROSPEECH-1995, 93-96.