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M-MUSICS: mobile content-based music retrieval system

Published: 29 September 2007 Publication History

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 semi-supervised 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.

References

[1]
J. S. R. Jang, J. Chun, and M.-Y. Kao, "MIRACLE: A Music Information Retrieval System with Clustered Computing Engines," in ISMIR, 2001.
[2]
Z. Stejic, Y. Takama and K. Hirota, "Genetic algorithm-based relevance feedback for image retrieval using local similarity patterns," in Elsevier Journal - IPM, vol. 39, no. 1, pp. 1--23(23), Jan. 2003.
[3]
I. Karydis, A. Nanopoulos, A. Papadopoulos, D. Katsaros, Y. Manolopoulos, "Content-based Music Information Retrieval in Wireless Ad-hoc Networks," in ISMIR, 2005.
[4]
B. Han, S. Rho, E. Hwang, "An Efficient Voice Transcription Scheme for Music Retrieval," IEEE. Conf. on Multi-media and Ubiquitous Engineering, pp. 366--371, Apr. 2007.
[5]
W. Zhang, G. Xu, Y. Wang, "Pitch Estimation Based on Circular AMDF," IEEE ICASSP, pp. 341--344, Oct. 2002.
[6]
S. Rho and E. Hwang, "FMF: Query adaptive melody retrieval system," Journal of Systems and Software, Vol. 79(1), pp. 43--56, Jan. 2006.
[7]
S. Rho, E. Hwang, M. Kim, "Music Information Retrieval Using a GA-based Relevance Feedback," IEEE Conf. on MUE, pp. 739--744, Apr. 2007.

Cited By

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  • (2009)Intelligent mobile content-based retrieval from digital music librariesIntelligent Decision Technologies10.5555/1706410.17064113:3(123-138)Online publication date: 1-Aug-2009
  • (2008)Evaluation Process and Results of a Middleware System for Accessing Digital Music LIbraries in MObile ServicesNew Directions in Intelligent Interactive Multimedia10.1007/978-3-540-68127-4_63(615-624)Online publication date: 2008

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cover image ACM Conferences
MM '07: Proceedings of the 15th ACM international conference on Multimedia
September 2007
1115 pages
ISBN:9781595937025
DOI:10.1145/1291233
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 29 September 2007

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Author Tags

  1. content-based music retrieval
  2. mobile platform
  3. query by humming
  4. relevance feedback

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Overall Acceptance Rate 2,145 of 8,556 submissions, 25%

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Cited By

View all
  • (2009)Intelligent mobile content-based retrieval from digital music librariesIntelligent Decision Technologies10.5555/1706410.17064113:3(123-138)Online publication date: 1-Aug-2009
  • (2008)Evaluation Process and Results of a Middleware System for Accessing Digital Music LIbraries in MObile ServicesNew Directions in Intelligent Interactive Multimedia10.1007/978-3-540-68127-4_63(615-624)Online publication date: 2008

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