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

Objective

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.

Coordinator

FACULTÉ POLYTECHNIQUE DE MONS
Address
Boulevard Dolez, 31
7000 Mons
Belgium

Participants (4)

ASCOM TECH AG
Switzerland
Address
Belpstrasse, 23
3000 Bern
ECOLE POLYTECHNIQUE DE LAUSANNE
Switzerland
Address
Avenue De Cour, 37
1007 Lausanne
LEERNHOUT & HAUSPIE SPEECHPRODUCTS
Belgium
Address
Rozendaalstraat, 14
8900 Ieper
TEDAS GESELLSCHAFT FÜR TECHNISCHE DATENVERARBEITUNG MBH
Germany
Address
Universitätsstraße 51
35037 Marburg