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

    3 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
    Country/TerritoryGreece
    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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