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Information Journal Paper

Title

RECOGNITION OF FARSI NUMBER OVER TELEPHONE: A COMPARISON OF STATISTICAL NEURAL AND ‎HYBRID APPROACHES

Pages

  1045-1066

Abstract

 This paper presents results of research on isolated connected and continuous Farsi ‎number recognition over telephone. Effect of selecting basic recognition unit (phoneme or ‎word) is investigated and statistical neural and hybrid approaches are compared. In ‎Farsi digit and number recognition continuous density hidden markov models with ‎word and phoneme models embedded reestimation after baum-welch NN and hybrid ‎methods were used Experimental results show that in noisy and telephony conditions ‎the system employing cepstral vectors derived from Mel frequency filter-bank ‎analysis outperforms the system employing cepstral vectors derived from linear ‎prediction ana11sis. also it was observed that performance of HMM system is more ‎than that of both the NN and hybrid systems. The best performance of digit ‎recognition in isolated and connected Farsi digit recognition (with word models) over ‎Farsdigits1 telephony database was %99.1 and %83.7 respectively and the best ‎performance of word recognition in unconstrained Farsi number recognition (with ‎phoneme models) over Farsnumbersl telephony database was %91.1‎‏.‏

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    APA: Copy

    BASHIRI, H., AHMADPOUR, Z., HOMAYOUNPOUR, MOHAMMAD MAHDI, & KABUDIAN, J.. (2003). RECOGNITION OF FARSI NUMBER OVER TELEPHONE: A COMPARISON OF STATISTICAL NEURAL AND ‎HYBRID APPROACHES. AMIRKABIR, 14(56-A), 1045-1066. SID. https://sid.ir/paper/736/en

    Vancouver: Copy

    BASHIRI H., AHMADPOUR Z., HOMAYOUNPOUR MOHAMMAD MAHDI, KABUDIAN J.. RECOGNITION OF FARSI NUMBER OVER TELEPHONE: A COMPARISON OF STATISTICAL NEURAL AND ‎HYBRID APPROACHES. AMIRKABIR[Internet]. 2003;14(56-A):1045-1066. Available from: https://sid.ir/paper/736/en

    IEEE: Copy

    H. BASHIRI, Z. AHMADPOUR, MOHAMMAD MAHDI HOMAYOUNPOUR, and J. KABUDIAN, “RECOGNITION OF FARSI NUMBER OVER TELEPHONE: A COMPARISON OF STATISTICAL NEURAL AND ‎HYBRID APPROACHES,” AMIRKABIR, vol. 14, no. 56-A, pp. 1045–1066, 2003, [Online]. Available: https://sid.ir/paper/736/en

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    مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources
    مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources
    مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources
    مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources
    مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources
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