4th International Conference on Spoken Language Processing
Philadelphia, PA, USA
This papers investigates two approaches to on-line incremental adaptation of CDHMM parameters. First the popular MAP approach is examined, highlighting difficulties in automatically setting the adaptation rate. To overcome these problems we introduce a new approach based on the multi-observation estimation equations of the forward-backward algorithm called a cumulative likelihood estimate (CLE). Experimental results using these two approaches are compared with and without the use of a speech model for enrolment on isolated word speaker models. In both enrolment procedures, the CLE approach can achieve approximately an EER of 1% for six adaptation sequences using a single digit test token.
Bibliographic reference. Yu, Kin / Mason, John S. (1996): "On-line incremental adaptation for speaker verification using maximum likelihood estimates of CDHMM parameters", In ICSLP-1996, 1752-1755.