Arabic Speech Recognition System using CMU-Sphinx4

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dc.creatorSatori, H.
dc.creatorHarti, M.
dc.creatorChenfour, N.
dc.date2007-04-17
dc.date.accessioned2026-07-07T07:56:52Z
dc.date.available2026-07-07T07:56:52Z
dc.descriptionIn this paper we present the creation of an Arabic version of Automated Speech Recognition System (ASR). This system is based on the open source Sphinx-4, from the Carnegie Mellon University. Which is a speech recognition system based on discrete hidden Markov models (HMMs). We investigate the changes that must be made to the model to adapt Arabic voice recognition. Keywords: Speech recognition, Acoustic model, Arabic language, HMMs, CMUSphinx-4, Artificial intelligence.
dc.description5 pages, 3 figures and 2 tables, in French
dc.identifierhttps://arxiv.org/abs/0704.2201
dc.identifierhttp://arxiv.org/abs/0704.2201
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/127473
dc.subjectComputation and Language
dc.subjectArtificial Intelligence
dc.subjectI.2.7
dc.titleArabic Speech Recognition System using CMU-Sphinx4
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