M-MUSICS: Mobile Content-based Music Retrieval System

ACM Multimedia 2007

Byeong-jun Han(1), Eenjun Hwang(1), Seungmin Rho(2), Minkoo Kim(2)

(1) School of Electrical Engineering, Korea University.
(2) Graduate School of Information and Communication, Artificial Intelligence Laboratory.

Abstract

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.

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Last Updated: 2007-10-01