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Toolbox for log-spectral magnitude MMSE estimators under super-Gaussian densities

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company name:
Richard Hendriks
license: Free
minimum requirements: MATLAB 7.5 (R2007b)
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Toolbox for log-spectral magnitude MMSE estimators under super-Gaussian densities description


Toolbox for log-spectral magnitude MMSE estimators under super-Gaussian densities.The toolbox can also be downloaded from: http://ict.ewi.tudelft.nl/~richard/log_spe...per_gaussV1.rarThe matlab files enclosed in this toolbox can be used to tabulate gain functions for log-spectral magnitude MMSE estimators under an assumed Generalized-Gamma model for the clean speech magnitude DFT coefficients.For the theory behind these estimators and constraints on the parameters we refer to the article[1] R. C. Hendriks, R. Heusdens and J. Jensen, "Log-Spectral Magnitude MMSE Estimators under Super-Gaussian Densities", Interspeech, pp. 1319 - 1322, 2009.Short description of the 2 main m-files (see the headers of the files for more info):For an assumed Generalized-Gamma prior density of the magnitude DFT coefficients with gamma=2 and specificnu parameter the m-file[G1]=TabulateGainGamma2logmmse(Rprior,Rpost,nu)tabulates the gain function for the log-spectral magnitude DFT coefficients. For mathematical expressions of the gain functions for these estimators see [1].The range of a priori and a posteriori SNRs is -40 to 40 dB in 1 dB steps. Each row of the gain matrices is for a different a priori SNR, while a posteriori SNR varies along columns.Given the tabulated gain function, a vector of gain values for pairs of a priori and a posteriori SNRs can be selected using the m-file[gains]=lookup_gain_in_table(G,a_post,a_priori,a_post_range,a_priori_range);where a_post and a_priori are vectors with the a posteriori and a priori SNRs respectively.The vectors a_post and a_priori should have equal lengths. The parameters a_post_range and a_priori_range indicate the ranges in dBs used in the gain table G.The scriptfile log_mmse_supergaus gives an example of the usage of the aforementioned m-files.Implementations of the special functions are based onS. Zhang & J. Jin "Computation of Special Functions" (Wiley, 1996) with implementations available online: http://iris-lee3.ece.uiuc.edu/~jjin/routines/routines.htmlThe implementations of these special functions in the toolbox have been adapted with respect to the original implementations such that they can handle vector arguments as well.Copyright 2009: Delft University of Technology, Information and Communication Theory Group. The software is free for non-commercial use.This program comes WITHOUT ANY WARRANTY.June, 2009R. C. Hendriks



Relates:
Based - Table - Usage - Values - Vector - Equal - Selected - Ranges - Special - Pairs - Lengths - Post Range - Priori Range - Scriptfile - Log Mmse Supergaus - Mfilesimplementations - Aforementioned
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