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.
Links toward previous steps (curation, corpus...)
- to stream Crin, to step Corpus: 001388
- to stream Crin, to step Curation: 001388
- to stream Crin, to step Checkpoint: 002F65
Links to Exploration step
CRIN:fohr94aLe document en format XML
<record><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en" wicri:score="510">Knowledge-based Techniques in Acoustic-Phonetic Decoding of Speech : Interest and Limitations</title></titleStmt><publicationStmt><idno type="RBID">CRIN:fohr94a</idno><date when="1994" year="1994">1994</date><idno type="wicri:Area/Crin/Corpus">001388</idno><idno type="wicri:Area/Crin/Curation">001388</idno><idno type="wicri:explorRef" wicri:stream="Crin" wicri:step="Curation">001388</idno><idno type="wicri:Area/Crin/Checkpoint">002F65</idno><idno type="wicri:explorRef" wicri:stream="Crin" wicri:step="Checkpoint">002F65</idno><idno type="wicri:Area/Main/Merge">00D263</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en">Knowledge-based Techniques in Acoustic-Phonetic Decoding of Speech : Interest and Limitations</title><author><name sortKey="Fohr, D" sort="Fohr, D" uniqKey="Fohr D" first="D." last="Fohr">D. Fohr</name></author><author><name sortKey="Haton, J P" sort="Haton, J P" uniqKey="Haton J" first="J.-P." last="Haton">Jean-Paul Haton</name><affiliation><country>France</country><placeName><settlement type="city">Nancy</settlement><region type="region" nuts="2">Grand Est</region><region type="region" nuts="2">Lorraine (région)</region></placeName><orgName type="laboratoire" n="5">Laboratoire lorrain de recherche en informatique et ses applications</orgName><orgName type="university">Université de Lorraine</orgName><orgName type="institution">Centre national de la recherche scientifique</orgName><orgName type="institution">Institut national de recherche en informatique et en automatique</orgName></affiliation></author><author><name sortKey="Laprie, Y" sort="Laprie, Y" uniqKey="Laprie Y" first="Y." last="Laprie">Y. Laprie</name></author></analytic><series><title level="j">International Journal of Pattern Recognition and Artificial Intelligence</title><imprint><date when="1994" type="published">1994</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>acoustic-phonetic decoding</term><term>expert system</term><term>speech recognition</term></keywords></textClass></profileDesc></teiHeader><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></front></TEI></record>Pour manipuler ce document sous Unix (Dilib)
EXPLOR_STEP=$WICRI_ROOT/Wicri/Lorraine/explor/InforLorV4/Data/Main/Merge
HfdSelect -h $EXPLOR_STEP/biblio.hfd -nk 00D263 | SxmlIndent | more
Ou
HfdSelect -h $EXPLOR_AREA/Data/Main/Merge/biblio.hfd -nk 00D263 | SxmlIndent | more
Pour mettre un lien sur cette page dans le réseau Wicri
{{Explor lien
|wiki= Wicri/Lorraine
|area= InforLorV4
|flux= Main
|étape= Merge
|type= RBID
|clé= CRIN:fohr94a
|texte= Knowledge-based Techniques in Acoustic-Phonetic Decoding of Speech : Interest and Limitations
}}
| This area was generated with Dilib version V0.6.33. |  |