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 |
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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 |
doi_str_mv | 10.1109/TASL.2006.872615 |
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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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