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.
- 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
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
- 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.