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...

詳細記述

書誌詳細

出版年:	IEEE Transactions on speech and audio processing 9, 3 (2001).
第一著者:	Haeb-Umbach, R.
フォーマット:	論文
言語:	English
主題:	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.