Use of Multi-Layered Networks for Coding Speech with Phonetic Features

Part of Advances in Neural Information Processing Systems 1 (NIPS 1988)

Authors

Yoshua Bengio, Régis Cardin, Renato de Mori, Piero Cosi

Abstract

Preliminary results on speaker-independant speech recognition are reported. A method that combines expertise on neural networks with expertise on speech recognition is used to build the recognition systems. For transient sounds, event(cid:173) driven property extractors with variable resolution in the time and frequency domains are used. For sonorant speech, a model of the human auditory system is preferred to FFT as a front-end module.