English  |  正體中文  |  简体中文  |  Items with full text/Total items : 54367/62174 (87%)
Visitors : 14531213      Online Users : 67
RC Version 6.0 © Powered By DSPACE, MIT. Enhanced by NTHU 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
    National Tsing Hua University Institutional Repository > 電機資訊學院 > 資訊工程學系 > 會議論文  >  Automatic Pronunciation Assessment for Mandarin Chinese

    Please use this identifier to cite or link to this item: http://nthur.lib.nthu.edu.tw/dspace/handle/987654321/13624

    Title: Automatic Pronunciation Assessment for Mandarin Chinese
    Authors: Jiang-Chun Chen
    Jyh-Shing Roger Jang
    Juii-Yi Li
    Ming-Chun Wu
    Date: 2004
    Publisher: Institute of Electrical and Electronics Engineers Inc
    Keywords: GMM
    Gaussian mixture model
    hidden Markov models
    Viterbi decoding
    Abstract: This work describes the algorithms used in a prototypical software system for automatic pronunciation assessment of Mandarin Chinese. The system uses Viterbi decoding to isolate each syllable and find the log probability of a given utterance based on HMM (hidden Markov models). The isolated syllables are then sent to a GMM (Gaussian mixture model) for tone recognition. Based on the log probability and the result from tone recognition, a parametric scoring function, using a neural network, is constructed to approximate the scoring results from human experts. The experimental results demonstrate the system can consistently gives scores that are close to those from human's subjective evaluation.
    Relation Link: IEEE International Conference on Multimedia and Expo, Taipei, Taiwan, June 2004
    URI: http://nthur.lib.nthu.edu.tw/handle/987654321/13624
    Appears in Collections:[資訊工程學系] 會議論文
    [資訊系統與應用研究所] 會議論文
    [電腦與通訊科技研發中心] 會議論文

    Files in This Item:

    File Description SizeFormat
    2030226030037.pdf254KbAdobe PDF696View/Open


    SFX Query


    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library IR team Copyright ©   - Feedback