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    Please use this identifier to cite or link to this item: http://ir.lib.ncu.edu.tw/handle/987654321/79647

    Title: 遞歸神經網絡在語音辨識上之表現分析
    Authors: 王薏婷;WANG, YI-TING
    Contributors: 數學系
    Keywords: 語音辨識
    Date: 2019-01-25
    Issue Date: 2019-04-02 15:10:09 (UTC+8)
    Publisher: 國立中央大學
    Abstract: 語音辨識是人工智慧相當關注的領域,但受限於不同環境的影響,至今依舊
    本研究使用github 上所提供的無噪聲語料,以不同的處理方式建構遞歸神
    經網絡模型,並選定一些變因做為探討比較的對象。;Speech recognition is part of the artificial intelligence that is highly
    concerned, but is limited by different environmental influences. It is
    still a difficult subject to have a system that can be clearly identified
    as humans. This study aims to investigate the functionality of the Mel
    Frequency Cepstral Coefficients (MFCCs) and the Connectionist Temporal
    Classification (CTC) on speech recognition systems. This study uses the
    noise-free corpus provided on github to construct a recursive neural
    network model in different ways, and selects some variables as the object
    of discussion and comparison.
    Appears in Collections:[數學研究所] 博碩士論文

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