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Contenuto archiviato il 2024-04-19

Study of Hidden Markov Models and Neural Networks for Robust Isolated Word Recognition

Obiettivo

The dominant technology is Hidden Markov Models (HMMs) but this has significant limitations, some of which could be alleviated by the judicious use of artificial neural networks (ANNs) or hybrid combinations of both techniques.

Direct comparisons of ANN-based, HMM-based, and hybrid ANN/HMM techniques for speech recognition will be made. The developments will be integrated and validated in the context of a telephone application including speech recognition capabilities.

A number of prototypes have been demonstrated on low cost commodity systems.

The telephone application developed within the project will be the basis for product development by Tedas.

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Coordinatore

FACULTÉ POLYTECHNIQUE DE MONS
Contributo UE
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Indirizzo
Boulevard Dolez, 31
7000 Mons
Belgio

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Partecipanti (4)