Implementation of DOA for Speech Using OMAP5912 on a Wheeled Robot
碩士 === 國立交通大學 === 電機與控制工程系所 === 94 === This thesis proposes a DOA algorithm (Direction of arrival) used in source direction detection system-GCC (Generalized Cross-Correlation) and voice activity detection (VAD) system for applications in robot where speech reception is contaminated by various noise...
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| Format: | Others |
| Language: | zh-TW |
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2006
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| Online Access: | http://ndltd.ncl.edu.tw/handle/60433266827383114403 |
| Summary: | 碩士 === 國立交通大學 === 電機與控制工程系所 === 94 === This thesis proposes a DOA algorithm (Direction of arrival) used in source direction detection system-GCC (Generalized Cross-Correlation) and voice activity detection (VAD) system for applications in robot where speech reception is contaminated by various noise and sound sources. Two microphones connected with TI OMAP5912 were made for the implementation platform. To cope with the changes of noise and environmental characteristics, the adaptive VAD system with on-line noise channel calibration is designed and implemented. The VAD result is used to ensure the correct timing for on-line calibration and choose the voice’s frequency without consulting the noise’s. The algorithms are implemented on OMAP platform with DSP and ARM dual core. To verify the effectiveness of the proposed system, the speech signal and angel of voice are combined with robot system that demo the movement of robot. The experimental results show that the algorithms are able to detect the direction of source and reduce the error of angel.
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