政大機構典藏-National Chengchi University Institutional Repository(NCCUR):Item 140.119/76734

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政大機構典藏 > 商學院 > 資訊管理學系 > 會議論文 > Item 140.119/76734

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题名:	Automatic singer recognition of popular music recordings via estimation and modeling of solo vocal signals
作者:	Tsai, W.-H.;Wang, Hsin-Min
贡献者:	資管系
关键词:	Music information retrieval;Singer detection;Singer identification;Singer tracking;Evaluation;Indexing (of information);Information retrieval;Signal processing;Stereophonic recordings;Speech recognition
日期:	2006
上传时间:	2015-07-21 15:05:34 (UTC+8)
摘要:	In this paper, we investigate the problem of automatic singer identification, detection and tracking in popular music recordings with one or multiple singers. This problem reflects an important issue in multimedia applications that require the transcription and indexing of music data to meet the increasing demand for content-based information retrieval. The major challenges for this study arise from the fact that a singer`s voice tends to be arbitrarily altered from time to time and is inextricably intertwined with the signal of the background accompaniment. To determine who is singing, or whether or when a particular singer is present in a music recording, methods are presented for separating vocal from nonvocal regions, for isolating singers` vocal characteristics from background music, and for distinguishing singers from one another. Experimental evaluations conducted on a pop music database consisting of solo and duet tracks confirm the validity of the proposed methods. © 2006 IEEE.
關聯:	IEEE Transactions on Audio, Speech and Language Processing, Volume 141, Pages 330-341
数据类型:	conference
DOI 連結:	http://dx.doi.org/10.1109/TSA.2005.854091
DOI:	10.1109/TSA.2005.854091
显示于类别:	[資訊管理學系] 會議論文

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