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Conference Papers Year : 2003

A New Keyword Spotting Approach Based on Reward Function

Dominique Fohr
Gérard Chollet

Abstract

In this paper, we compare the performance achieved by different word-spotting techniques based on hidden Markov models. We propose two methods to detect keywords, the first one uses a GMM (Gaussian Mixture Model) as a filler model to absorb the out-of-vocabulary words. The second is an alternative approach which does not attempt to model out-of-vocabulary words, instead, it uses buckled phonemes basedgrammar. Furthermore, it uses different reward functions to favourite the recognition of the keywords phonemes.
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Dates and versions

inria-00099707 , version 1 (26-09-2006)

Identifiers

  • HAL Id : inria-00099707 , version 1

Cite

Yassine Benayed, Dominique Fohr, Jean-Paul Haton, Gérard Chollet. A New Keyword Spotting Approach Based on Reward Function. Eventh International Symposium on Signal Processing and Its Applications - ISSPA'2003, Jul 2003, Paris, France, 4 p. ⟨inria-00099707⟩
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