NDLI: Confidence scores for acoustic model adaptation

Content Provider	IEEE Xplore Digital Library
Author	Gollan, C. Bacchiani, M.
Copyright Year	2008
Description	Author affiliation: Comput. Sci. Dept., RWTH Aachen Univ., Aachen (Gollan, C.)
Abstract	This paper focuses on confidence scores for use in acoustic model adaptation. Frame-based confidence estimates are used in linear transform (CMLLR and MLLR) and MAP adaptation. We show that adaptation approaches with a limited number of free parameters such as linear transform-based approaches are robust in the face of frame labeling errors whereas adaptation approaches with a large number of free parameters such as MAP are sensitive to the quality of the supervision and hence benefit most from use of confidences. Different approaches for using confidence information in adaptation are investigated. This analysis shows that a thresholding approach is effective in that it improves the frame labeling accuracy with little detrimental effect on frame recall. Experimental results show an absolute WER reduction of 2.1% over a CMLLR adapted system on a video transcription task.
Starting Page	4289
Ending Page	4292
File Size	99443
Page Count	4
File Format	PDF
ISBN	9781424414833
ISSN	15206149
DOI	10.1109/ICASSP.2008.4518603
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-03-31
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Adaptation model Maximum likelihood linear regression Parameter estimation Speech Robustness Labeling Multimedia systems Humans Pattern recognition Computer science confidence scores acoustic model adaptation
Content Type	Text
Resource Type	Article

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