Voice query transcription and expansion scheme for efficient music retrieval

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

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

2 Citations (Scopus)

Abstract

In this paper, we present a scheme for efficient humming-based music retrieval. For that purpose, we first describe how to extract a sequence of pitch and duration pairs as its feature information from sung or hummed query accurately and automatically. And then, we propose a novel scheme for reformulating user query to improve retrieval performance. The scheme is based on user relevance feedback with genetic algorithm. We implemented a prototype system based on these scheme and performed various experiments. Experimental result shows that our proposed scheme achieves an impressive performance.

Original languageEnglish
Title of host publication8th International Workshop on Image Analysis for Multimedia Interactive Services, WIAMIS 2007
PublisherIEEE Computer Society
Pages31
Number of pages1
ISBN (Print)076952818X, 9780769528182
DOIs
Publication statusPublished - 2007
Event8th International Workshop on Image Analysis for Multimedia Interactive Services, WIAMIS 2007 - Santorini, Greece
Duration: 2007 Jun 62007 Jun 8

Publication series

Name8th International Workshop on Image Analysis for Multimedia Interactive Services, WIAMIS 2007

Other

Other8th International Workshop on Image Analysis for Multimedia Interactive Services, WIAMIS 2007
CountryGreece
CitySantorini
Period07/6/607/6/8

ASJC Scopus subject areas

  • Computer Graphics and Computer-Aided Design
  • Computer Networks and Communications
  • Signal Processing

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  • Cite this

    Rho, S., Han, B. J., Hwang, E., & Kim, M. (2007). Voice query transcription and expansion scheme for efficient music retrieval. In 8th International Workshop on Image Analysis for Multimedia Interactive Services, WIAMIS 2007 (pp. 31). [4279139] (8th International Workshop on Image Analysis for Multimedia Interactive Services, WIAMIS 2007). IEEE Computer Society. https://doi.org/10.1109/WIAMIS.2007.91