Constant-Q Transform Toolbox for Music Processing: "This web-page accompanies the paper
Schoerkhuber, C. and Klapuri, A., " Constant-Q transform toolbox for music processing," submitted to the 7th Sound and Music Computing Conference, Barcelona, Spain.
Abstract:
This paper proposes a computationally efficient method for computing the constant-Q transform (CQT) of a time-domain signal. CQT refers to a time-frequency representation where the frequency bins are geometrically spaced and the Q-factors (ratios of the center frequencies to bandwidths) of all bins are equal. An inverse transform is proposed which enables a reasonable-quality (around 55dB signal-to-noise ratio) reconstruction of the original signal from its CQT coefficients. Here CQTs with high Q-factors, equivalent to 12--96 bins per octave, are of particular interest. The proposed method is flexible with regard to the number of bins per octave, the applied window function, and the Q-factor, and is particularly suitable for the analysis of music signals. A reference implementation of the proposed methods is published as a Matlab toolbox. The toolbox includes user-interface tools that facilitate spectral data visualization and the indexing and working with the data structure produced by the CQT.
Download the toolbox"
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