Advertisement

Experimental Systems

  • Hervé A. Bourlard
  • Nelson Morgan
Part of the The Springer International Series in Engineering and Computer Science book series (SECS, volume 247)

Abstract

The work presented in this chapter (and indeed, some of the writing as well) has been done in collaboration with other members of the Realization group at ICSI (in Berkeley, CA), (and more particularly Chuck Wooters, Phil Kohn, and Steve Renais, currently at Cambridge), Hynek Hermansky of US West Advanced Technologies (Denver, CO), and more recently with Michael Cohen, Horacio Franco, and Victor Abrash of SRI (Stanford, CA). The results of this continuing work are presented here to show that the hybrid HMM/MLP approach can improve state-of-the-art large vocabulary, continuous speech recognition systems.

Keywords

Hide Markov Model Frame Level Phonological Rule Perceptual Linear Prediction Phone Model 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Copyright information

© Springer Science+Business Media New York 1994

Authors and Affiliations

  • Hervé A. Bourlard
    • 1
    • 2
  • Nelson Morgan
    • 2
    • 3
  1. 1.Lernout & Hauspie Speech ProductsBelgium
  2. 2.International Computer Science InstituteBerkeleyUSA
  3. 3.University of CaliforniaBerkeleyUSA

Personalised recommendations