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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发表在:	IEEE Transactions on speech and audio processing 9, 3 (2001).
主要作者:	Haeb-Umbach, R.
格式:	文件
语言:	英语
主题:	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.