Parallel recognizer algorithm for automatic speech recognition

Akakpo Agbago, Caroline Barrière


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.


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)

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