Multifactor adaptation for Mandarin broadcast news and conversation speech recognition

INTERSPEECH, pp. 2103-2106, 2009.

Cited by: 6|Bibtex|Views25
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Other Links: dblp.uni-trier.de|academic.microsoft.com

Abstract:

We explore the integration of multiple factors such as genre and speaker gender for acoustic model adaptation tasks to improve Mandarin ASR system performance on broadcast news and broadcast conversation audio. We investigate the use of mul- tifactor clustering of acoustic model training data and the ap- plication of MPE-MAP and fMPE-MAP ...More

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