2011 CombiningInformationSourcesforC

• (Seigel & Woodland, 2011) ⇒ Matthew Stephen Seigel, and Philip C. Woodland. (2011). “Combining Information Sources for Confidence Estimation with CRF Models.” In: Proceedings of the Annual Conference of the International Speech Communication Association, (INTERSPEECH 2011).

Subject Headings: Confidence Estimation; Conditional Random Fields; Automatic Speech Recognition

Notes

• Conference page http://www.isca-speech.org/archive/interspeech_2011/i11_0905.html

Cited By

• http://scholar.google.com/scholar?q=%22Combining+Information+Sources+for+Confidence+Estimation+with+CRF+Models%22+2011

Quotes

Author Keywords

• confidence estimation; conditional random fields; speech recognition; ASR system combination

Abstract

Obtaining accurate confidence measures for automatic speech recognition (ASR) transcriptions is an important task which stands to benefit from the use of multiple information sources. This paper investigates the application of conditional random field (CRF) models as a principled technique for combining multiple features from such sources. Anovel method for combining suitably defined features is presented, allowing for confidence annotation using lattice-based features of hypotheses other than the lattice 1-best. The resulting framework is applied to different stages of a state-of-the-art large vocabulary speech recognition pipeline, and consistent improvements are shown over a sophisticated baseline system.

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References

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	Author	volume	Date Value	title	type	journal	titleUrl	doi	note	year
2011 CombiningInformationSourcesforC	Matthew Stephen Seigel Philip C. Woodland			Combining Information Sources for Confidence Estimation with CRF Models						2011