APHODEX, AN ACOUSTIC-PHONETIC DECODING EXPERT SYSTEM

Author:

CARBONELL NOËLLE1,FOHR DOMINIQUE1,HATON JEAN-PAUL1

Affiliation:

1. Pattern Recognition and Artificial Intelligence Group, CRIN/INRIA, B. P. 239, 54506 Vandoeuvre les Nancy Cedex, France

Abstract

The acoustic-phonetic decoding of sentences is a major bottleneck in continuous speech recognition. Our group has been working in this area for the past twelve years. In order to improve the accuracy of present phonetic decoders, we are now developing an expert system called APHODEX that should emulate the competence of an experienced spectrogram reader. After a brief description of the methodology used to elucidate the expert's knowledge and strategies, we focus on the expert's approach and results. Finally we explain how this expertise has been implemented; some results from the present experimental version of our system are given.

Publisher

World Scientific Pub Co Pte Lt

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Software

Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. HypEs: an architecture for hypermedia-enabled expert systems;Decision Support Systems;1999-10

2. Fundamentals of Automatic Speech Recognition;The Kluwer International Series in Engineering and Computer Science;1996

3. On the use of Knowledge in ASR;The Kluwer International Series in Engineering and Computer Science;1996

4. Complementary Approaches to Acoustic-Phonetic Decoding of Continuous Speech;Recent Research Towards Advanced Man-Machine Interface Through Spoken Language;1996

5. The cortical column as a model for speech recognition: principles and first experiments;Speech Recognition and Understanding;1992

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