A General Framework of Progressive Filtering and Its Application to Query by Singing/Humming

This paper presents the mathematical formulation and design methodology of progressive filtering (PF) for multimedia information retrieval, and discusses its application to the so-called query by singing/humming (QBSH), or more formally, melody recognition. The concept of PF and the corresponding dy...

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Bibliographic Details
Published in:IEEE transactions on audio, speech, and language processing speech, and language processing, 2008-02, Vol.16 (2), p.350-358
Main Authors: Jang, J.-S.R., Hong-Ru Lee
Format: Article
Language:English
Subjects:
Delay
Design engineering
Design methodology
Dynamic programming (DP)
Dynamical systems
Dynamics
Filtering
Filtration
Information filtering
Information filters
Information retrieval
Mathematical analysis
melody recognition
Multimedia
Multimedia systems
Music information retrieval
progressive filtering (PF)
query by singing/humming (QBSH)
Recognition
Rhythm
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Summary:This paper presents the mathematical formulation and design methodology of progressive filtering (PF) for multimedia information retrieval, and discusses its application to the so-called query by singing/humming (QBSH), or more formally, melody recognition. The concept of PF and the corresponding dynamic programming-based design method are applicable to large multimedia retrieval systems for striking a balance between efficiency (in terms of response time) and effectiveness (in terms of recognition rate). The application of the proposed PF to a five-stage QBSH system is reported, and the experimental results demonstrate the feasibility of the proposed approach.
ISSN:1558-7916
2329-9290
1558-7924
2329-9304
DOI:10.1109/TASL.2007.913035