Título: Parallel recognizer algorithm for automatic speech recognition
Autores: Agbago, Akakpo; Institute for Information Technology, National Research Council of Canada, Pavillon Lucien Brault, 101 rue St-Jean-Bosco, Gatineau, Que. J8Y 3G4, Canada
Barrière, Caroline; Institute for Information Technology, National Research Council of Canada, Pavillon Lucien Brault, 101 rue St-Jean-Bosco, Gatineau, Que. J8Y 3G4, Canada
Fecha: 2004-09-01
Publicador: Canadian Acoustics
Fuente:
Tipo: info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Conference Proceedings
Actes de congrès
Tema: Speech recognition
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)
Descripción: 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.
Idioma: Inglés

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