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Neural Networks in Speech Recognition
Type of publication: Inproceedings
Citation: henn94:micro
Booktitle: 6th Microcomputer School, invited paper, Prague, Czech Republic
Year: 1994
Pages: 23-40
URL: http://diuf.unifr.ch/people/he...
Abstract: We review some of the Artificial Neural Network (ANN) approaches used in speech recognition. Some basic principles of neural networks are briefly described as well as their current applications and performances in speech recognition. Strenghtnesses and weaknesses of pure connectionnist networks in the particular context of the speech signal are then evoqued. The emphasis is put on the capabilities of connectionnist methods to improve the performances of the Hidden Markov Model approach (HMM). Some of the principles that govern the socalled hybrid HMM-ANN approach are then briefly explained. Some recent combinations of stochastic models and ANNs known as the Hidden Control Neural Networks are also presented.
Keywords: ANN, MLP, Speech Recognition
Authors Hennebert, Jean
Hasler, Martin
Dedieu, Hervé
Added by: []
Total mark: 0
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