@inbook{78a668c636334a39aaeb12ce7a6a77b8,
title = "Multimicrophone MMSE-based speech source separation",
abstract = "Beamforming methods using a microphone array successfully utilize spatial diversity for speech separation and noise reduction. Adaptive design of the beamformer based on various minimum mean squared error (MMSE) criteria significantly improves performance compared to fixed, and data-independent design. These criteria differ in their considerations to noise minimization and desired speech distortion. Three common data-dependent beamformers, namely, matched filter (MF), MWF and LCMV are presented and analyzed. Estimation methods for implementing the various beamformers are surveyed. Simple examples of applying the various beamformers to simulated narrowband signals in an anechoic environment and to speech signals in a real-life reverberant environment are presented and discussed.",
author = "Shmulik Markovich-Golan and Israel Cohen and Sharon Gannot",
note = "Publisher Copyright: {\textcopyright} Springer International Publishing AG 2018.",
year = "2018",
doi = "https://doi.org/10.1007/978-3-319-73031-8_12",
language = "الإنجليزيّة",
isbn = "978-3-319-73030-1",
series = "Signals and Communication Technology",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "301--331",
booktitle = "Signals and Communication Technology",
address = "ألمانيا",
}