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A Partial Retrieval of Music Data with Different Bit Rate using MPEG-4 TwinVQ Audio Compression

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2 Author(s)
Michihiro Kobayakawa ; Graduate School of Information Systems, The University of Electro-Communications, 1-5-1 Chofugaoka, Chofu, Tokyo 182-8585, Japan. Email: kobayakawa@computer.org ; Mamoru Hoshi

The present paper describes a method for partial retrieval of a piece of music using the autocorrelation coefficients computed in the encoding step of TwinVQ (Transform-domain Weighted Interleave Vector Quantization) audio compression (MPEG-4 audio standard). Our key contribution is to realize partial retrieval of a piece of music that is robust with respect to bit rate using an approximation relation. The approximation relation is based on the fact that the i-th autocorrelation coefficient with bit rate B1 of a piece of music computed in the encoding step of TwinVQ audio compression can approximate the j-th autocorrelation coefficient with bit rate B2 of the piece of music, where i = [(B1/B2) j]. First, we present our frame work for music information retrieval and music retrieval of a piece of music based on the autocorrelation coefficients computed in the encoding step of TwinVQ audio compression. Then, we show experimental results of partial retrieval of a piece of music on 1,023 pieces of music. The experimental results indicate that partial retrieval using the autocorrelation coefficients has excellent retrieval performance for queries of various bit rates.

Published in:

Data Engineering Workshop, 2007 IEEE 23rd International Conference on

Date of Conference:

17-20 April 2007