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Speaker adaptation from a speaker-independent training corpus

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3 Author(s)
Kubala, F. ; BBN Syst. & Technol. Corp., Cambridge, MA, USA ; Schwartz, R. ; Barry, C.

A technique for using the speech of multiple reference speakers as a basis for speaker adaptation in large-vocabulary continuous-speech recognition is introduced. In contrast to other methods that use a pooled reference model, this technique normalizes the training speech from multiple reference speakers to a single common feature space before pooling it. The normalized and pooled speech is then treated as if it came from a single reference speaker for training the reference hidden Markov model (HMM). The usual probabilistic spectrum transformation can be applied to the reference HMM to model a new speaker. Preliminary experimental results are reported from applying this approach to over 100 reference speakers from the speaker-independent portion of the DARPA 1000-Word Resource Management Database

Published in:

Acoustics, Speech, and Signal Processing, 1990. ICASSP-90., 1990 International Conference on

Date of Conference:

3-6 Apr 1990

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