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

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.