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Title page for etd-0906110-153222


URN etd-0906110-153222 Statistics This thesis had been viewed 2238 times. Download 7 times.
Author Shih-Hsiang Shao
Author's Email Address hsiang_x@hotmail.com
Department Communication Engineering
Year 2009 Semester 2
Degree Master Type of Document Master's Thesis
Language zh-TW.Big5 Chinese Page Count 87
Title ANALYSIS OF ACOUSTIC ECHO CANCELLATION FOR HANDS-FREE WEB PHONE
Keyword
  • WEB PHONE
  • ECHO
  • ACOUSTIC
  • ACOUSTIC
  • ECHO
  • WEB PHONE
  • Abstract This is an information and digital era. Many technology products are improved. However audio and speech process are important focus. Research directions include speech coding, speech recognition, acoustic echo cancellation (AEC), and double talk detection (DTD) in an AEC system. The latter two of are the focus discussed in this paper.
    Early technology is not yet matured. The echo in communication may cause severe problem on the perceptual quality. So adaptive filter and suitable AEC algorithm jointly become particularly important. Since there are so many echo cancellation algorithms, which one is the most beneficial is what this paper concerned. Using the MATLAB as simulation program, this research applied three acoustic echo cancellation algorithms and one double talk detection algorithm. We investigate a variety of conditions including the AEC convergence rate, the perceptual quality and computational complexity, so that we can provide useful information in algorithms selection.
    Advisor Committee
  • Ching-Kuen Lee - advisor
  • Chau-Yun Hsu - co-chair
  • Yuan Tzu Ting - co-chair
  • Files indicate in-campus access only
    Date of Defense 2010-07-24 Date of Submission 2010-09-06


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