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dc.contributor.authorHu, Jwu-Shengen_US
dc.contributor.authorCheng, Chieh-Chengen_US
dc.contributor.authorLiu, Wei-Hanen_US
dc.contributor.authorYang, Chia-Hsingen_US
dc.date.accessioned2014-12-08T15:25:05Z-
dc.date.available2014-12-08T15:25:05Z-
dc.date.issued2006en_US
dc.identifier.isbn978-1-4244-0310-3en_US
dc.identifier.urihttp://hdl.handle.net/11536/17470-
dc.description.abstractThis work proposes a threshold adaptation method to detect speaker's location in a vehicular environment. The method is robust to unmodeled sound source locations in a noisy environment and uses a single linear microphone array. The proposed approach is an improvement over previous work [12] which adopts Gaussian mixture models (GMMs) to model location-dependent but content and speaker independent acoustic characteristics of sound sources. Experimental results show that this scheme can overcome the far-filed and near-riled problem with the same architecture and perform well in both line-of-sight and non-line-of-sight cases.en_US
dc.language.isoen_USen_US
dc.subjectmicrophone arrayen_US
dc.subjectsound locatizationen_US
dc.subjectGMMen_US
dc.subjectHCIen_US
dc.titleRobust statistical-based speaker's location detection algorithm in a vehicular environmenten_US
dc.typeProceedings Paperen_US
dc.identifier.journal2006 IEEE International Conference on Automation Science and Engineering, Vols 1 and 2en_US
dc.citation.spage274en_US
dc.citation.epage279en_US
dc.contributor.department電控工程研究所zh_TW
dc.contributor.departmentInstitute of Electrical and Control Engineeringen_US
dc.identifier.wosnumberWOS:000246987000048-
Appears in Collections:Conferences Paper