DC Field | Value | Language |
---|---|---|
dc.contributor.author | 이, 지연 | - |
dc.contributor.author | 한, 민수 | - |
dc.contributor.author | 지, 수영 | - |
dc.contributor.author | 조, 영조 | - |
dc.contributor.author | Lee, Ji-Yeoun | - |
dc.contributor.author | Hahn, Min-Soo | - |
dc.contributor.author | Ji, Su-young | - |
dc.contributor.author | Cho, Young-Jo | - |
dc.date.accessioned | 2011-11-08T04:26:15Z | - |
dc.date.available | 2011-11-08T04:26:15Z | - |
dc.date.issued | 2005-11 | - |
dc.identifier.citation | 대한음성학회 학술대회논문집 | en |
dc.identifier.uri | http://hdl.handle.net/10203/25524 | - |
dc.description.abstract | This paper suggests an algorithm that can estimate the direction of the sound source in realtime. Our intelligent service robot, WEVER, is used to implement the proposed method at the home environment. The algorithm uses the time difference and sound intensity information among the recorded sound source by four microphones. Also, to deal with noise of robot itself, the kalman filter is implemented. The proposed method takes shorter execution time than that of an existing algorithm to fit the real-time service robot. The result shows relatively small error within the range of 7 degree. | en |
dc.language.iso | ko | en |
dc.publisher | 대한음성학회 | en |
dc.title | 지능형 로봇 `웨버`를 위한 음원 추적 기술 | en |
dc.title.alternative | Sound Localization Technique for Intelligent Service Robot `WEVER` | en |
dc.type | Article | en |
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