Parallel recognizer algorithm for automatic speech recognition

Auteurs-es

  • Akakpo Agbago Institute for Information Technology, National Research Council of Canada, Pavillon Lucien Brault, 101 rue St-Jean-Bosco, Gatineau, Que. J8Y 3G4, Canada
  • Caroline Barrière Institute for Information Technology, National Research Council of Canada, Pavillon Lucien Brault, 101 rue St-Jean-Bosco, Gatineau, Que. J8Y 3G4, Canada

Mots-clés :

Computational methods, Dynamic programming, Heuristic methods, Matrix algebra, Parallel algorithms, Parameter estimation, Signal distortion, Speech processing, Vectors, Automatic speech recognition (ASR), Parallel recognizer algorithms, Phonemes, Two-level dynamic programming (TLDP)

Résumé

A parallel recognizer algorithm for automatic speech recognition (ASR) was presented. This algorithm uses the principle of best-fit in an open competition for all phonemes in the Knowledge Base of Reference Phonemes (KBRP). The phonemes were concurrently matched in KBRP to an input T using a set of defined segment entities. This made it possible to convert the matrix computation of two-level dynamic programming (TLDP) to a vector space.

Fichiers supplémentaires

Publié-e

2004-09-01

Comment citer

1.
Agbago A, Barrière C. Parallel recognizer algorithm for automatic speech recognition. Canadian Acoustics [Internet]. 1 sept. 2004 [cité 4 mai 2026];32(3):148-50. Disponible à: https://jcaa.caa-aca.ca/index.php/jcaa/article/view/1671

Numéro

Vol. 32 No. 3 (2004)

Rubrique

Actes du congrès de la Semaine canadienne d'acoustique

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