Robustness in Automatic Speech Recognition : Fundamentals and Applications
Identifieur interne : 00CB98 ( Main/Merge ); précédent : 00CB97; suivant : 00CB99Robustness in Automatic Speech Recognition : Fundamentals and Applications
Auteurs : J.-C. Junqua ; Jean-Paul Haton [France]Source :
English descriptors
Abstract
Robustnes in Automatic Speech Recognition\, : Fundamentals and Applications provides a unified view of robustness in automatic speech recognition, an important aspect of speech processing. In the domain of speech processing, it has come to the point where researchers and engineers are concerned with how speech technology can be applied to new products, and how his technology will transform our future. One important problem is to improve robustness of speech processing under adverses conditions, which is the subject of this book. Robust speech processing is a relatively new area which became a concern when technology began to be transferred from laboratory to field applications. A method or an algorithm is robust if it can deal with a broad range of applications and adapt to unknown conditions. Robustness in Automatic Speech Recognition addresses all the fundamental problems and issues as well as possible solutions related to the field of robustness in automatic speech processing.
Links toward previous steps (curation, corpus...)
- to stream Crin, to step Corpus: 001A13
- to stream Crin, to step Curation: 001A13
- to stream Crin, to step Checkpoint: 002B53
Links to Exploration step
CRIN:junqua95aLe document en format XML
<record><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en" wicri:score="474">Robustness in Automatic Speech Recognition : Fundamentals and Applications</title></titleStmt><publicationStmt><idno type="RBID">CRIN:junqua95a</idno><date when="1995" year="1995">1995</date><idno type="wicri:Area/Crin/Corpus">001A13</idno><idno type="wicri:Area/Crin/Curation">001A13</idno><idno type="wicri:explorRef" wicri:stream="Crin" wicri:step="Curation">001A13</idno><idno type="wicri:Area/Crin/Checkpoint">002B53</idno><idno type="wicri:explorRef" wicri:stream="Crin" wicri:step="Checkpoint">002B53</idno><idno type="wicri:Area/Main/Merge">00CB98</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en">Robustness in Automatic Speech Recognition : Fundamentals and Applications</title><author><name sortKey="Junqua, J C" sort="Junqua, J C" uniqKey="Junqua J" first="J.-C." last="Junqua">J.-C. Junqua</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></analytic></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>automatic speech recognition</term><term>noisy speech</term><term>robust recognition</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en" wicri:score="3389">Robustnes in Automatic Speech Recognition\, : Fundamentals and Applications provides a unified view of robustness in automatic speech recognition, an important aspect of speech processing. In the domain of speech processing, it has come to the point where researchers and engineers are concerned with how speech technology can be applied to new products, and how his technology will transform our future. One important problem is to improve robustness of speech processing under adverses conditions, which is the subject of this book. Robust speech processing is a relatively new area which became a concern when technology began to be transferred from laboratory to field applications. A method or an algorithm is robust if it can deal with a broad range of applications and adapt to unknown conditions. Robustness in Automatic Speech Recognition addresses all the fundamental problems and issues as well as possible solutions related to the field of robustness in automatic speech processing.</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 00CB98 | SxmlIndent | more
Ou
HfdSelect -h $EXPLOR_AREA/Data/Main/Merge/biblio.hfd -nk 00CB98 | 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:junqua95a
|texte= Robustness in Automatic Speech Recognition : Fundamentals and Applications
}}
| This area was generated with Dilib version V0.6.33. |  |