Rapid Yet Accurate Speech Indexing Using Dynamic Match Lattice Spotting

The support for typically out-of-vocabulary query terms such as names, acronyms, and foreign words is an important requirement of many speech indexing applications. However, to date many unrestricted vocabulary indexing systems have struggled to provide a balance between good detection rate and fast...

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Veröffentlicht in:IEEE transactions on audio, speech, and language processing speech, and language processing, 2007-01, Vol.15 (1), p.346-357
Hauptverfasser: Thambiratnam, K., Sridharan, S.
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container_title IEEE transactions on audio, speech, and language processing
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creator Thambiratnam, K.
Sridharan, S.
description The support for typically out-of-vocabulary query terms such as names, acronyms, and foreign words is an important requirement of many speech indexing applications. However, to date many unrestricted vocabulary indexing systems have struggled to provide a balance between good detection rate and fast query speeds. This paper presents a fast and accurate unrestricted vocabulary speech indexing technique named Dynamic Match Lattice Spotting (DMLS). The proposed method augments the conventional lattice spotting technique with dynamic sequence matching, together with a number of other novel algorithmic enhancements, to obtain a system that is capable of searching hours of speech in seconds while maintaining excellent detection performance
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subjects Acronyms
Applied sciences
Audio indexing
Broadcasting
Data mining
Dynamical systems
Dynamics
Exact sciences and technology
Indexing
Indexing systems
Information retrieval
Information theory
Information, signal and communications theory
keyword spotting
Lattices
Miscellaneous
Monitoring
Query processing
Signal processing
Speech
speech data mining
Speech enhancement
speech indexing
Speech processing
Telecommunications and information theory
Vocabulary
title Rapid Yet Accurate Speech Indexing Using Dynamic Match Lattice Spotting
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