M-MUSICS: Mobile content-based music retrieval system

Byeong Jun Han, Eenjun Hwang, Seungmin Rho, Minkoo Kim

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)


Accurate voice humming transcription and efficient indexing schemes are essential for a large-scale humming-based music retrieval system. Although many researches have been done to develop such schemes, their performances are not still satisfactory. In our previous works, we proposed (i) a new voice query transcription scheme [4], (ii) a popularity-adaptive indexing structure called FAI [6] for fast retrieval, and (iii) a semisupervised relevance feedback and query reformulation scheme based on a genetic algorithm [7] in order to improve retrieval efficiency. In this demonstration, we extend our efforts to a mobile environment and develop a prototype mobile music retrieval system called M-MUSICS. Our focus in this implementation includes versatile user interface for easy querying and browsing on a typical mobile device such as PDA phone and satisfactory performance in a wireless mobile environment. We report some of the results.

Original languageEnglish
Title of host publicationProceedings of the Fifteenth ACM International Conference on Multimedia, MM'07
Number of pages2
Publication statusPublished - 2007
Event15th ACM International Conference on Multimedia, MM'07 - Augsburg, Bavaria, Germany
Duration: 2007 Sept 242007 Sept 29

Publication series

NameProceedings of the ACM International Multimedia Conference and Exhibition


Other15th ACM International Conference on Multimedia, MM'07
CityAugsburg, Bavaria


  • Content-based music retrieval
  • Mobile platform
  • Query by humming
  • Relevance feedback

ASJC Scopus subject areas

  • General Computer Science


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