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Musician Search in Time-Series Pattern Index Files using Features of Audio

  • Journal of The Korea Society of Computer and Information
  • Abbr : JKSCI
  • 2006, 11(5), pp.69-74
  • Publisher : The Korean Society Of Computer And Information
  • Research Area : Engineering > Computer Science

Kim young in 1

1부산대학교

Candidate

ABSTRACT

The recent development of multimedia content-based retrieval technologies brings great attention of musician retrieval using features of a digital audio data among music information retrieval technologies. But the indexing techniques for music databases have not been studied completely. In this paper, we present a musician retrieval technique for audio features using the space split methods in the time-series pattern index file. We use features of audio to retrieve the musician and a time-series pattern index file to search the candidate musicians. Experimental results show that the time-series pattern index file using the rotational split method is efficient for musician retrievals in the time-series pattern files.

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