Knowledge-based Techniques in Acoustic-Phonetic Decoding of Speech : Interest and Limitations
Identifieur interne : 00D263 ( Main/Merge ); précédent : 00D262; suivant : 00D264Knowledge-based Techniques in Acoustic-Phonetic Decoding of Speech : Interest and Limitations
Auteurs : D. Fohr ; Jean-Paul Haton [France] ; Y. LaprieSource :
- International Journal of Pattern Recognition and Artificial Intelligence ; 1994.
English descriptors
Abstract
A major step in the process of speech understanding is the acoustic-phonetic decoding which can be defined as the automatic mapping of the continuous speech wawe into a set of predetermined linguistic units such as phones, diphones, syllabes, etc. This paper relates to the approach of this problem which consists in exploiting an explicit description of all kinds of available knowledge about the speech communication phenomena, in the general framework of an artificial intelligence knowledge-based system. We will first recall the main difficulties of acoustic-phonetic decoding with a practical example. We will then present the APHODEX system that we have been designing for the past eight years, in terms of software architecture and of knowledge representation and reasoning. The practical evaluation of this system will then be carried out at the different levels of feature extraction, segmentation and labelling. Finally, we will discuss the limitations of our approach and present the ongoing effort to overcome these limitations, especially though the use of abductive reasoning.
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<front><div type="abstract" xml:lang="en" wicri:score="3968">A major step in the process of speech understanding is the acoustic-phonetic decoding which can be defined as the automatic mapping of the continuous speech wawe into a set of predetermined linguistic units such as phones, diphones, syllabes, etc. This paper relates to the approach of this problem which consists in exploiting an explicit description of all kinds of available knowledge about the speech communication phenomena, in the general framework of an artificial intelligence knowledge-based system. We will first recall the main difficulties of acoustic-phonetic decoding with a practical example. We will then present the APHODEX system that we have been designing for the past eight years, in terms of software architecture and of knowledge representation and reasoning. The practical evaluation of this system will then be carried out at the different levels of feature extraction, segmentation and labelling. Finally, we will discuss the limitations of our approach and present the ongoing effort to overcome these limitations, especially though the use of abductive reasoning.</div>
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