刘蓉

个人信息Personal Information

副教授

博士生导师

硕士生导师

性别:女

毕业院校:香港中文大学

学位:博士

所在单位:生物医学工程学院

学科:生物医学工程

办公地点:创新园大厦B1303

联系方式:rliu@dlut.edu.cn

电子邮箱:rliu@dlut.edu.cn

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Azimuthal source localization using interaural coherence in a robotic dog: modeling and application

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论文类型:期刊论文

发表时间:2010-12-01

发表刊物:ROBOTICA

收录刊物:SCIE

卷号:28

页面范围:1013-1020

ISSN号:0263-5747

关键字:Sound localization; Interaural coherence; Cross-correlation; Head model

摘要:In nature, sounds from multiple sources, as well as reflections from the surfaces of the physical surroundings, arrive concurrently from different directions at the ears of a listener. Despite the fact that all of these waveforms sum at the eardrums, humans with normal hearing can effortlessly segregate interesting sounds from echoes and other sources of background noises. This paper presents a two-microphone technique for localization of sound sources to effectively guide robotic navigation. Its fundamental structure is adopted from a binaural signal-processing scheme employed in biological systems for the localization of sources using interaural time differences (ITDs). The two input signals are analyzed for coincidences along left/right-channel delay-line pairs. The coincidence time instants are presented as a function of the interaural coherence (IC). Specifically, we build a sphere head model for the selected robot and apply the mechanism of binaural cues selection observed in mammalian hearing system to mitigate the effects of sound echoes. The sound source is found by determining the azimuth at which the maximum of probability density function (PDF) of ITD cues occurs. This eliminates the localization artifacts found during tests. The experimental results of a systematic evaluation demonstrate the superior performance of the proposed method.