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Spatio-temporal pattern recognition with neural networks: Application to speech

  • Jean Rouat
Part I: Coding and Learning in Biology
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1327)

Abstract

The processing or the recognition of non stationary process with neural networks is a challenging and yet unsolved issue. The paper discuss the general pattern recognition framework using neural networks in relation with the understanding of the peripheral auditory system. We propose a short-time structure representation of speech for speech analysis and recognition. We give examples of neural networks architecture and applications that are designed to take into account the time structure of the process to be analysed.

Keywords

Auditory Cortex Periodicity Code Speaker Verification Novelty Detector Speech Recogniser 
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.

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Copyright information

© Springer-Verlag Berlin Heidelberg 1997

Authors and Affiliations

  • Jean Rouat
    • 1
    • 2
  1. 1.ERMETIS, Sciences AppliquéesUniversité du Québec á ChicoutimiQuébec
  2. 2.Neuro-Heuristique, I.P., Faculté de MédecineUniversité de LausanneLausanne

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