A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf
.
Mandarin telephone speech recognition using MCE/GPD-based speaker cluster HMM
1999
6th European Conference on Speech Communication and Technology (Eurospeech 1999)
unpublished
In this paper we successfully apply the MCE/GPD method to train speaker cluster HMM. The essential concept of our approach is to adjust all the parameters of the speaker cluster HMM simultaneously using each utterance of the whole training set. In other words, the parameters of each cluster-dependent HMM are no longer independently estimated by using only the training data of the speakers who belong to its corresponding cluster. To achieve this purpose, the discriminant function used in the
doi:10.21437/eurospeech.1999-595
fatcat:7a3sq3og35gsxmbdhvpqmqfhem