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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
    Please use this identifier to cite or link to this item: http://nccur.lib.nccu.edu.tw/handle/140.119/76734


    Title: Automatic singer recognition of popular music recordings via estimation and modeling of solo vocal signals
    Authors: Tsai, W.-H.;Wang, Hsin-Min
    Contributors: 資管系
    Keywords: Music information retrieval;Singer detection;Singer identification;Singer tracking;Evaluation;Indexing (of information);Information retrieval;Signal processing;Stereophonic recordings;Speech recognition
    Date: 2006
    Issue Date: 2015-07-21 15:05:34 (UTC+8)
    Abstract: 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.
    Relation: IEEE Transactions on Audio, Speech and Language Processing, Volume 141, Pages 330-341
    Data Type: conference
    DOI 連結: http://dx.doi.org/10.1109/TSA.2005.854091
    DOI: 10.1109/TSA.2005.854091
    Appears in Collections:[資訊管理學系] 會議論文

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