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Spatio-temporal filtering methods for enhancement and separation of speech signals

Christensen, Mads; Jensen, Jesper; Benesty, Jacob and Jakobsson, Andreas LU (2013) 2013 IEEE China Summit and International Conference on Signal and Information Processing (ChinaSIP) In Signal and Information Processing (ChinaSIP), 2013 IEEE China Summit & International Conference on p.303-307
Abstract
In this paper, we give an overview of the background for, the ideas behind, and the challenges to be addressed in the project "Spatio-Temporal Filtering Methods for Enhancement and Separation of Speech Signals," which is funded by the Villum Foundation. The project aims at addressing the problem of enhancing and separating speech signals from noisy mixtures, a problem also known as the cocktail party problem. It aims at exploring new ways of solving this problem by generalizing a new class of optimal temporal filtering methods for periodic signals to multiple microphones, resulting in so-called spatio-temporal filtering methods that are controlled by two parameters, the direction-of-arrival and the fundamental frequency. These filters are... (More)
In this paper, we give an overview of the background for, the ideas behind, and the challenges to be addressed in the project "Spatio-Temporal Filtering Methods for Enhancement and Separation of Speech Signals," which is funded by the Villum Foundation. The project aims at addressing the problem of enhancing and separating speech signals from noisy mixtures, a problem also known as the cocktail party problem. It aims at exploring new ways of solving this problem by generalizing a new class of optimal temporal filtering methods for periodic signals to multiple microphones, resulting in so-called spatio-temporal filtering methods that are controlled by two parameters, the direction-of-arrival and the fundamental frequency. These filters are optimal in that they let the signal of interest pass undistorted while everything else is attenuated as much as possible. Unlike state-of-the-art methods, they do not require knowledge of the statistics of noise and interfering speech signals, something that is especially important when dealing with non-stationary noise. (Less)
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author
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
keywords
Speech enhancement, microphone arrays, beamforming, pitch estimation, DOA estimation
in
Signal and Information Processing (ChinaSIP), 2013 IEEE China Summit & International Conference on
pages
5 pages
publisher
IEEE--Institute of Electrical and Electronics Engineers Inc.
conference name
2013 IEEE China Summit and International Conference on Signal and Information Processing (ChinaSIP)
external identifiers
  • Scopus:84889573855
DOI
10.1109/ChinaSIP.2013.6625349
language
English
LU publication?
yes
id
bb1c58ac-f27e-4f06-95ea-0d02f7077c08 (old id 3991188)
date added to LUP
2014-01-20 15:08:04
date last changed
2016-10-13 04:42:53
@misc{bb1c58ac-f27e-4f06-95ea-0d02f7077c08,
  abstract     = {In this paper, we give an overview of the background for, the ideas behind, and the challenges to be addressed in the project "Spatio-Temporal Filtering Methods for Enhancement and Separation of Speech Signals," which is funded by the Villum Foundation. The project aims at addressing the problem of enhancing and separating speech signals from noisy mixtures, a problem also known as the cocktail party problem. It aims at exploring new ways of solving this problem by generalizing a new class of optimal temporal filtering methods for periodic signals to multiple microphones, resulting in so-called spatio-temporal filtering methods that are controlled by two parameters, the direction-of-arrival and the fundamental frequency. These filters are optimal in that they let the signal of interest pass undistorted while everything else is attenuated as much as possible. Unlike state-of-the-art methods, they do not require knowledge of the statistics of noise and interfering speech signals, something that is especially important when dealing with non-stationary noise.},
  author       = {Christensen, Mads and Jensen, Jesper and Benesty, Jacob and Jakobsson, Andreas},
  keyword      = {Speech enhancement,microphone arrays,beamforming,pitch estimation,DOA estimation},
  language     = {eng},
  pages        = {303--307},
  publisher    = {ARRAY(0xbbaef88)},
  series       = {Signal and Information Processing (ChinaSIP), 2013 IEEE China Summit & International Conference on},
  title        = {Spatio-temporal filtering methods for enhancement and separation of speech signals},
  url          = {http://dx.doi.org/10.1109/ChinaSIP.2013.6625349},
  year         = {2013},
}