Software Listing of Author : "Richard Hendriks"
- MMSE based noise PSD tracking algorithm
- License: Shareware
- Price:


Matlab implementation of an MMSE based noise PSD tracking algorithm for speech enhancement. This package is an implementation of the algorithm described in "MMSE BASED NOISE PSD TRACKING WITH LOW COMPLEXITY", by Richard C. Hendriks, Richard Heusdens and Jesper Jensen, IEEE International Conference on Acoustics, Speech and Signal Processing, 03/2010, Dallas, TX, p.4266-4269, (2010). The algorithm has rather low complexity, but is able to accurately estimate the noise PSD for non-stationary noise with rather low tracking delay.
- Publisher: Richard Hendriks
- Date Released: 14-02-2013
- Download Size: 338 KB
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- Platform: Matlab, Scripts
- Toolbox for log-spectral magnitude MMSE estimators under super-Gaussian densities
- License: Freeware
- Price: 0.00


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.rar The 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...
- Publisher: Richard Hendriks
- Date Released: 07-04-2013
- Download Size: 10 KB
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- Platform: Matlab, Scripts
- Toolbox for MMSE estimators of DFT coefficients under the generalized Gamma density
- License: Freeware
- Price: 0.00


Toolbox for MMSE estimators of DFT coefficients under the generalized Gamma density The toolbox can also be downloaded from: http://ict.ewi.tudelft.nl/~richard/ The matlab files enclosed in this toolbox can be used to tabulate gain functions for clean speech complex-DFT, magnitude-DFT and magnitude squared-DFT 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 articles [1] J.S. Erkelens, R.C. Hendriks, R. Heusdens, and J. Jensen, "Minimum mean-square error estimation of discrete Fourier coefficients with generalized gamma priors", IEEE Trans. on Audio, Speech and Language Proc., vol. 15, no. 6, pp. 1741 - 1752, August 2007. [2] J.S. Erkelens, R.C. Hendriks and R. Heusdens "On the...
- Publisher: Richard Hendriks
- Date Released: 27-05-2013
- Download Size: 10 KB
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- Platform: Matlab, Scripts
