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[ FPMs > TCTS > ASR group > Projects > RESPITE ]

 

[Partners]

[Abstract

 

REcognition of Speech by Partial Information TEchniques ESPRIT Long Term Research RTD Project Ref. 28149.

See the Official web site for complete information about this project.


Partners
  • Sheffield University (SU), UK
  • Daimler-Benz Research, Ulm, Germany
  • Faculté Polytechnique de Mons (FPMs), Belgium
  • Institut de la communication parlé, Grenoble, France
  • MATRA Communication, Bois d'Arcy, France
  • IDIAP, Martigny, Suisse
  • Intl. Computer Science Institute (ICSI), Berkeley, CA, USA

Abstract

RESPITE will extend and apply two novel technologies missing data theory and multi-stream theory to the problem of robust automatic speech recognition (ASR), with particular application to cellular phones and in-car environments. It will also support studies whose purpose is to inform this endeavour. The specific measurable objectives are to

  • develop techniques for identifying reliable data,
  • advance the theory of multi-stream processing,
  • advance the theory of missing and masked data handling,
  • inform the above by obtaining new perceptual data on speech recognition,
  • combine missing data and multistreamprocessing with existing robust ASR methods,
  • evaluate all this within a framework of demonstrator ASR applications to cellular phones and in cars.