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

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2 Author(s)
Jyh-Shing Roger Jang ; Dept. of Comput. Sci., Nat. Tsing Hua Univ., Hsinchu ; Hong-Ru Lee

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.

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IEEE Transactions on Audio, Speech, and Language Processing  (Volume:16 ,  Issue: 2 )