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Inventi Impact: Audio, Speech & Music Processing

Articles

  • Inventi:easm/31906/20
    Arabic Speech Recognition System Based on MFCC and HMMs
    Research 2020 : July - September
    Hussien A Elharati, Mohamed Alshaari, Veton Z Kepuska

    Speech recognition allows the machine to turn the speech signal into text\nthrough identification and understanding process. Extract the features, predict\nthe maximum likelihood, and generate the models of the input speech\nsignal are considered the most important steps to configure the Automatic\nSpeech Recognition System (ASR). In this paper, an automatic Arabic speech\nrecognition system was established using MATLAB and 24 Arabic words\nConsonant-Vowel Consonant-Vowel Consonant-Vowel (CVCVCV) was recorded\nfrom 19 Arabic native speakers, each speaker uttering the same word 3\ntimes (total 1368 words).......................

    How to Cite this Article
    Attribution/ CC Compliant Citation: Elharati, H.A., Alshaari, M. and Kepuska, V.Z. (2020) Arabic Speech Recognition System Based on\nMFCC and HMMs. Journal of Computer and Communications, 8, 28-34.\nhttps://doi.org/10.4236/jcc.2020.83003\nhttp://creativecommons.org/licenses/by/4.0/\n\nSome formatting elements, header, footer, logos, dates and pagination were modified while adapting this article.\n
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