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文章基本信息

  • 标题:Music Information Retrieval from a Singing Voice Using Lyrics and Melody Information
  • 本地全文:下载
  • 作者:Motoyuki Suzuki ; Toru Hosoya ; Akinori Ito
  • 期刊名称:EURASIP Journal on Advances in Signal Processing
  • 印刷版ISSN:1687-6172
  • 电子版ISSN:1687-6180
  • 出版年度:2007
  • 卷号:2007
  • DOI:10.1155/2007/38727
  • 出版社:Hindawi Publishing Corporation
  • 摘要:

    Recently, several music information retrieval (MIR) systems which retrieve musical pieces by the user's singing voice have been developed. All of these systems use only melody information for retrieval, although lyrics information is also useful for retrieval. In this paper, we propose a new MIR system that uses both lyrics and melody information. First, we propose a new lyrics recognition method. A finite state automaton (FSA) is used as recognition grammar, and about 86 % retrieval accuracy was obtained. We also develop an algorithm for verifying a hypothesis output by a lyrics recognizer. Melody information is extracted from an input song using several pieces of information of the hypothesis, and a total score is calculated from the recognition score and the verification score. From the experimental results, 95.0 % retrieval accuracy was obtained with a query consisting of five words.

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