Max-Gabor Analysis and Synthesis of Spectrograms Tony Ezzat, Jake Bouvrie, Tomaso Poggio Center for Biological and Computational Learning (CBCL) & McGovern Institute for Brain Research Massachusetts Institute of Technology Cambridge, MA link to paper: (ps.gz) (pdf)

Abstract We present a method that analyzes a two-dimensional magnitude spectrogram S(f,t) into its local constituent spectro-temporal amplitudes A(f,t), frequencies F(f,t), orientations Theta(f,t), and phases phi(f,t). The method operates by performing a two-dimensional local Gabor-like analysis of the spectrogram, retaining only the parameters of the 2D-Gabor filter with maximal amplitude response within the local region. We demonstrate the technique over a wide variety of speakers, and show how the spectrograms in each case may be adequately reconstructed using the parameters of the Max-Gabor analysis. Finally, we discuss the nature of the extracted Max-Gabor parameters.

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Max-Gabor Analysis and Synthesis of Spectrograms Tony Ezzat, Jake Bouvrie, and Tomaso Poggio, to appear, ICSLP 2006, Pittsburgh, PA (ps.gz) (pdf)