Fourth European Conference on Speech Communication and Technology
September 18-21, 1995
A Knowledge-Based Model for Speaker-Independent, Acoustic-Phonetic Decoding
A. Ghio, Mario Rossi
Institut de phonetique d' Aix-en-Provence, Laboratoire
"Parole et Langage" URA 261, CNRS, Aix-en-Provence, France
We examine to what extent a knowledge-based model can recognise
segmental structure without feedback from semantic information and
without stochastic modelling. The system proposed is inspired by
some features of human cognitive processing in that the speech
signal activates parallel distributed processes of decoding. The
modules, conceptually different, are:
- an automatic segmentation module.
- a first analytic recognition based on oriented graphs with state
- a second analytic recognition module based on phonetic rules.
- a global recognition based on metric methods. Finally, scrutiny
of all the parallel results and access to a dictionary allow the
inference rules to propose ranked word candidates.
Ghio, A. / Rossi, Mario (1995):
"A knowledge-based model for speaker-independent, acoustic-phonetic decoding",
In EUROSPEECH-1995, 807-810.