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dc.contributor.authorDendani, Bilal-
dc.contributor.authorBahi, Halima-
dc.contributor.authorSari, Toufik-
dc.date.accessioned2019-06-12T08:51:26Z-
dc.date.available2019-06-12T08:51:26Z-
dc.date.issued2019-03-04-
dc.identifier.urihttp://dspace.univ-ouargla.dz/jspui/handle/123456789/20831-
dc.descriptionLe 2eme Conference Internationale sur intelligence Artificielle et les Technologies Information ICAIIT 2019en_US
dc.description.abstractThe technology of Automatic Speech Recognition (ASR) can be embedded in hand-held devices or reached remotely through the use of server-based speech recognition approaches. We design and implement a ubiquitous speech recognition application for the Arabic language. We select a network-based model for the design and the deployment after a comparison made between speech recognition techniques. We analyze the performance of Arabic speakers through the Arabic speech corpus of isolated words. The experimental results are encouraging to improve the accuracy and efficiency of the proposed system despite the environmental challenges and degradation due to speech coding, the channel itself and the noises affecting speech recognition performance.en_US
dc.language.isoenen_US
dc.publisherUniversité Kasdi Merbah Ouarglaen_US
dc.relation.ispartofseries2019;-
dc.subjectubiquitous computingen_US
dc.subjectautomatic speech recognitionen_US
dc.subjectnetwork speech recognitionen_US
dc.titleA Ubiquitous Application for Arabic Speech Recognitionen_US
dc.typeArticleen_US
Appears in Collections:2. Faculté des nouvelles technologies de l’information et de la communication

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