Automatic generation of phonetic regression class trees for MLLR adaptation.

Automatic generation of phonetic regression class trees for MLLR adaptation.

In this paper, it is shown that a correlation criterion is the appropriate criterion for bottom-up clustering to obtain broad phonetic class regression trees for maximum likelihood linear regression (MLLR)-based speaker adaptation. The correlation structure among speech units is estimated on the spe...

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Bibliographic Details
Published in:IEEE Transactions on speech and audio processing 9, 3 (2001).
Main Author: Haeb-Umbach, R.
Format: Article
Language:English
Subjects:
MLLR adaptation.
Acoustic space.
Adaptation experiments.
Automatic generation.
Bottom-up clustering.
Broad phonetic class regression trees.
Correlation criterion.
Maximum likelihood linear regression based speaker adaptation.
Phonetic regression class trees.
Speaker-independent training data.
Speech units.