Title page for etd-0727113-135938


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URN etd-0727113-135938
Author Tsung-peng Yen
Author's Email Address No Public.
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Department Computer Science and Engineering
Year 2012
Semester 2
Degree Master
Type of Document
Language zh-TW.Big5 Chinese
Title Quickly Personalizable Digit Mobile Speech Recognition System Based on Sphinx
Date of Defense 2013-07-25
Page Count 49
Keyword
  • speech recognition
  • mobile
  • adapt
  • noise-robustness
  • personalizable
  • sphinx
  • Abstract In this paper, we are going to introduce a system which provide digit speech recognition
    services. This system is built on internet, users can easily utilize the system through the
    network. Besides the speech recognition service in our system, we also provide adaptation
    function to bring up the Noise-Robust between differences environment. In the case of English
    digit recognition, our recognition system can achieve 80% accuracy for a specific
    speaker by using a few adaptation. Our system can also be expanded for building program
    and other relevant application. We use Sphinx-4 as a speech recognition kernel in our system.
    Because Sphinx-4 is a system prepared exclusively for researchers, it is a flexible, modular
    and pluggable framework. By the pluggability characteristic of Sphinx-4, we can replace the
    dictionary, grammar and acoustic model easily by edit the configuration files. In order to
    make sense about choosing acoustic model, training data and adaptation data. We provide
    our experiment results on AURORA2, EAT and Android device recording from corpus for
    references.
    Advisory Committee
  • Chung-hsien Wu - chair
  • Hsin-Min Wang - co-chair
  • wen-Hsing Lai - co-chair
  • Chia-Ping Chen - advisor
  • Files
  • etd-0727113-135938.pdf
  • indicate access worldwide
    Date of Submission 2013-09-02

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