New insights on the optimality of parameterized Wiener filters for speech enhancement applications

Visually Derived Wiener Filters for Speech Enhancement

IEEE Transactions on Audio Speech and Language Processing ◽

10.1109/tasl.2010.2096212 ◽

2011 ◽

Vol 19 (6) ◽

pp. 1642-1651 ◽

Cited By ~ 39

Author(s):

Ibrahim Almajai ◽

Ben Milner

Keyword(s):

Speech Enhancement ◽

Wiener Filters

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State based sub-band LP Wiener filters for speech enhancement in car environments

2000 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.00CH37100) ◽

10.1109/icassp.2000.861919 ◽

2002 ◽

Cited By ~ 1

Author(s):

Aimin Chen ◽

S. Vaseghi ◽

P. McCourt

Keyword(s):

Speech Enhancement ◽

Wiener Filters

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A spectral filtering method based on hybrid wiener filters for speech enhancement

Speech Communication ◽

10.1016/j.specom.2008.09.003 ◽

2009 ◽

Vol 51 (3) ◽

pp. 259-267 ◽

Cited By ~ 28

Author(s):

Huijun Ding ◽

Ing Yann Soon ◽

Soo Nee Koh ◽

Chai Kiat Yeo

Keyword(s):

Speech Enhancement ◽

Spectral Filtering ◽

Filtering Method ◽

Wiener Filters

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Visually-Derived Wiener Filters for Speech Enhancement

2007 IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP '07 ◽

10.1109/icassp.2007.366980 ◽

2007 ◽

Cited By ~ 7

Author(s):

Ibrahim Almajai ◽

Ben Milner ◽

Jonathan Darch ◽

Saeed Vaseghi

Keyword(s):

Speech Enhancement ◽

Wiener Filters

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EEG-based attention-driven speech enhancement for noisy speech mixtures using N-fold multi-channel Wiener filters

2017 25th European Signal Processing Conference (EUSIPCO) ◽

10.23919/eusipco.2017.8081390 ◽

2017 ◽

Cited By ~ 14

Author(s):

Neetha Das ◽

Simon Van Eyndhoven ◽

Tom Francart ◽

Alexander Bertrand

Keyword(s):

Speech Enhancement ◽

Noisy Speech ◽

Wiener Filters ◽

Speech Mixtures

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Hybrid Speech Enhancement with Wiener filters and Deep LSTM Denoising Autoencoders

2018 IEEE International Work Conference on Bioinspired Intelligence (IWOBI) ◽

10.1109/iwobi.2018.8464132 ◽

2018 ◽

Cited By ~ 4

Author(s):

Marvin Coto-Jimenez ◽

John Goddard-Close ◽

Leandro Di Persia ◽

Hugo Leonardo Rufiner

Keyword(s):

Speech Enhancement ◽

Wiener Filters

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A simple way for producing holographic filters suitable for image improvement

Proceedings, annual meeting, Electron Microscopy Society of America ◽

10.1017/s0424820100108271 ◽

1978 ◽

Vol 36 (1) ◽

pp. 226-227

Author(s):

K.-H. Herrmann ◽

E. Reuber ◽

P. Schiske

Keyword(s):

Transfer Functions ◽

Diffraction Order ◽

Lateral Position ◽

Simple Method ◽

Spatial Frequencies ◽

Resolution Electron ◽

Wiener Filters ◽

Image Improvement ◽

Optical Reconstruction ◽

Set Up

Aposteriori deblurring of high resolution electron micrographs of weak phase objects can be performed by holographic filters [1,2] which are arranged in the Fourier domain of a light-optical reconstruction set-up. According to the diffraction efficiency and the lateral position of the grating structure, the filters permit adjustment of the amplitudes and phases of the spatial frequencies in the image which is obtained in the first diffraction order.In the case of bright field imaging with axial illumination, the Contrast Transfer Functions (CTF) are oscillating, but real. For different imageforming conditions and several signal-to-noise ratios an extensive set of Wiener-filters should be available. A simple method of producing such filters by only photographic and mechanical means will be described here.A transparent master grating with 6.25 lines/mm and 160 mm diameter was produced by a high precision computer plotter. It is photographed through a rotating mask, plotted by a standard plotter.

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