下載電子全文宣告This thesis is authorized to indicate in-campus access at one year and off-campus not accessible
You can not download at the moment.
Your IP address is 184.108.40.206
The defense date of the thesis is 2010-09-03
The current date is 2019-04-19
This thesis will be accessible at off-campus not accessible
URN etd-0902110-180840 Statistics This thesis had been viewed 2104 times. Download 3 times. Author Shih-Wen Chen Author's Email Address No Public. Department Communication Engineering Year 2009 Semester 2 Degree Master Type of Document Master's Thesis Language English Page Count 52 Title ACOUSTIC ECHO CANCELLATION AND ROBUST DOUBLE-TALK DETECTION FOR HANDS-FREE SPEECH COMMUNICATION Keyword noise reduction normalized least mean square least mean square adaptive filters double talk detector acoustic echo canceller acoustic echo canceller double talk detector adaptive filters least mean square normalized least mean square noise reduction Abstract The hands-free system are more and more popular in everyday life; in addition, using of network communications system can save telephone charges and let more people using VOIP. When using network communications system the biggest problem of the hands-free system are that acoustic echo may degrade the voice quality. Therefore, a solution to this kind of problems is to use echo cancellation. By adding an acoustic echo canceller (AEC) using adaptive filter the far-end and near-end users of a communication system can achieve good voice quality.
Double-talk detection (DTD) errors can result in either large residual echo or distorting the near-end talker’s input speech. Thus accurate double-talk detection is an important requirement in the echo canceller to improve the speech quality. We propose a double-talk detector with two stage functions. First, use a correlation method and the normalized error signal power to eliminate acoustic echo. Second, we use a residual noise reduction algorithm to enhance voice quality of the system. Using MATLAB Simulation, the experimental results showed that the proposed system can improve the performance and robustness of the acoustic echo canceller, the residual noise reduction.
Advisor Committee Ching-Guen Lee - advisor
Chau-Yun Hsu - co-chair
Yuan-Tzu Ting - co-chair
Files Date of Defense 2010-07-24 Date of Submission 2010-09-03