Speech Coding with Multilayer Networks

A set of Multi-Layered Networks (MLN) for Automatic Speech Recognition (ASR) is proposed. Such a set allows to integrate information extracted with variable resolution in the lime and in the frequency domain and to keep the number of links between nodes of the networks small in order to allow significant generalization during learning with a reasonable training set size.

Publication type: 
Contributo in volume
Author or Creator: 
Bengio Y.
Cardin R.
Cosi P.
De Mori R.
Merlo E
Publisher: 
Springer-Verlag, Berlin/Heidelberg, DEU
Source: 
Neuro-computing: algorithms, architectures, and applications, edited by Françoise Fogelman-Soulié, Jeanny Hérault, pp. 207–216. Berlin/Heidelberg: Springer-Verlag, 1990
Date: 
1990
Resource Identifier: 
http://www.cnr.it/prodotto/i/238291
http://books.google.it/books/about/Neuro_computing.html?id=VMVQAAAAMAAJ&redir_esc=y
urn:isbn:9783540532781
Language: 
Eng
ISTC Author: 
Piero Cosi's picture
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