Modeling Linguistic Segment And Turn Boundaries For N-Best Rescoring Of Spontaneous Speech

Modeling Linguistic Segment And Turn Boundaries For N-Best Rescoring Of Spontaneous Speech (1997)

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by Andreas Stolcke

Venue:	Proc. EUROSPEECH
Citations:	12 - 2 self

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Datum	Value	Source
TITLE	Modeling Linguistic Segment And Turn Boundaries For N-Best Rescoring Of Spontaneous Speech	user correction - Legacy Corrections
AUTHOR NAME	Andreas Stolcke	SVM HeaderParse 0.2
AUTHOR AFFIL	; Speech Technology and Research Laboratory; SRI International, Menlo Park, CA, U.S.A.; LANGUAGE MODELING	SVM HeaderParse 0.2
ABSTRACT	Language modeling, especially for spontaneous speech, often suffers from a mismatch of utterance segmentations between training and test conditions. In particular, training often uses linguistically-based segments, whereas testing occurs on acoustically determined segments, resulting in degraded performance. We present an N-best rescoring algorithm that removes the effect of segmentation mismatch. Furthermore, we show that explicit language modeling of hidden linguistic segment boundaries is improved by including turn-boundary events in the model. 1. THE SEGMENTATION PROBLEM IN LANGUAGE MODELING One of the problems encountered in speech recognition on continuous, spontaneous speech is the segmentation of long waveforms. Because current recognizers prefer short waveform segments for best performance and to limit computational resources, conversation-length waveforms are typically pre-segmented using simple acoustic criteria, such as locations of long pauses and turn switches. This crea...	user correction - Legacy Corrections
YEAR	1997	INFERENCE
VENUE	Proc. EUROSPEECH	INFERENCE
VENUE TYPE	CONFERENCE	INFERENCE
PAGES	2779--2782	INFERENCE
VOLUME	5	INFERENCE
CITATIONS	12 found	ParsCit 1.0