English  |  正體中文  |  简体中文  |  Items with full text/Total items : 66984/66984 (100%)
Visitors : 22959985      Online Users : 393
RC Version 7.0 © Powered By DSPACE, MIT. Enhanced by NTU Library IR team.
Scope Tips:
  • please add "double quotation mark" for query phrases to get precise results
  • please goto advance search for comprehansive author search
  • Adv. Search
    HomeLoginUploadHelpAboutAdminister Goto mobile version


    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
    難有一個系統能如人類般清晰的識別。本研究旨在探討梅爾頻率倒譜系數(MFCCs)
    及連接性音頻分類(CTC)在語音辨識系統上的功能性。
    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

    Files in This Item:

    File Description SizeFormat
    index.html0KbHTML36View/Open


    All items in NCUIR are protected by copyright, with all rights reserved.

    社群 sharing

    ::: Copyright National Central University. | 國立中央大學圖書館版權所有 | 收藏本站 | 設為首頁 | 最佳瀏覽畫面: 1024*768 | 建站日期:8-24-2009 :::
    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library IR team Copyright ©   - Feedback  - 隱私權政策聲明