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Science / Speech recognition / Hidden Markov model / Viterbi algorithm / Baum–Welch algorithm / HTK / Mel-frequency cepstrum / Markov chain / Pattern recognition / Markov models / Statistics / Probability and statistics


AUTOMATIC ARABIC PRONUNCIATION SCORING FOR LANGUAGE INSTRUCTION Hassan Dahan, Abdul Hussin, Zaidi Razak, Mourad Odelha University of Malaya (MALAYSIA) [removed]
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Document Date: 2012-05-21 23:08:15


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City

St.Petersburg / River / Cambridge / Barcelona / London / /

Company

Sonic / Mobile Learning Using Speech Recognition Technologies / RECOGNITION USING NEURAL NETWORKS / /

Country

Russia / United Kingdom / Spain / /

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Facility

Prentice Hall / University of Colorado / Mourad Odelha University of Malaya / /

IndustryTerm

speech recognition systems / in-car applications / correction tool / filter bank analysis / telephony server / forward algorithm / heuristic algorithms / Arabic speech processing research / dynamic programming algorithm / e - business / interactive software / self teaching systems / related algorithm / /

Organization

Cambridge University Engineering Department / World Congress / university of Colorado / Mourad Odelha University of Malaya / Pattern Analysis and Machine Intelligence / /

Person

Hassan Dahan / Abdul Hussin / /

ProgrammingLanguage

Java / /

ProvinceOrState

New Jersey / Colorado / /

PublishedMedium

IEEE Transactions on Pattern Analysis and Machine Intelligence / /

Technology

forward algorithm / closely related algorithm / training using BW algorithm The BW algorithm / speech recognition / Baum Welch algorithm / 2.4 Viterbi Algorithm The Viterbi algorithm / BW algorithm / Java / Viterbi algorithm / Baum-Welch algorithm / Mobile Phones / dynamic programming algorithm / then Baum Welch Algorithm / speech recognition system / Mobile Devices / /

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