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

  • Authors:
  • J. -S.R. Jang;Hong-Ru Lee

  • Affiliations:
  • Dept. of Comput. Sci., Nat. Tsing Hua Univ., Hsinchu;-

  • Venue:
  • IEEE Transactions on Audio, Speech, and Language Processing
  • Year:
  • 2008

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Abstract

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.