Speech Coding with Multi-Layer Networks

Combining a structural or knowledge-based approach for
describing speech units with neural networks capable of
automatically learning relations between acoustic properties and
speech units is the research effort we are attempting. We are
investigating how speech coding can be performed by sets of multilayer
neural networks whose execution is decided by a data-driven
strategy. Coding is based on phonetic properties characterizing a
large population of speakers. Results on speaker-independent
recognition of vowels using an ear model for preprocessing are
reported.

Publication type: 
Contributo in atti di convegno
Author or Creator: 
Bengio Y.
Cardin R.
Cosi P.
De Mori R.
Publisher: 
IEEE-Institute Of Electrical And Electronics Engineers Inc., Piscataway, USA
Source: 
IEEE ICASSP-89, International Conference on Acoustic Speech and Signal Processing, pp. 164–167, Glasgow, UK, 23-26 May, 1989
Date: 
1989
Resource Identifier: 
http://www.cnr.it/prodotto/i/241928
https://dx.doi.org/10.1109/ICASSP.1989.266389
info:doi:10.1109/ICASSP.1989.266389
http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=266389&tag=1
Language: 
Eng
ISTC Author: 
Piero Cosi's picture
Real name: