Convolutional Weighted Parametric Multichannel Wiener Filter for Reverberant Source Separation-Reference-Cited by-同舟云学术

Convolutional Weighted Parametric Multichannel Wiener Filter for Reverberant Source Separation

Published:2022 Issue: Volume:29 Page:1928-1932
ISSN:1070-9908
Container-title:IEEE Signal Processing Letters
language:
Short-container-title:IEEE Signal Process. Lett.

Author:

Fras Mieszko¹^ORCID,Kowalczyk Konrad¹^ORCID

Affiliation:

1. Institute of Electronics, AGH University of Science and Technology, Krakow, Poland

Funder

Fundacja na rzecz Nauki Polskiej

European Regional Development Fund

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Applied Mathematics,Electrical and Electronic Engineering,Signal Processing

Link

http://xplorestaging.ieee.org/ielx7/97/9686799/09873926.pdf?arnumber=9873926

Reference39 articles.

1. Evaluation of Objective Quality Measures for Speech Enhancement

2. First Stereo Audio Source Separation Evaluation Campaign: Data, Algorithms and Results

3. On Multiplicative Transfer Function Approximation in the Short-Time Fourier Transform Domain

4. Convolutional weighted minimum mean square error filter for joint source separation and dereverberation;fra?;Proc IEEE Int Conf Acoust Speech Signal Process,0

5. Spatially pre-processed speech distortion weighted multi-channel Wiener filtering for noise reduction

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