@inproceedings{13191a5bc61f40579a4465ef2939f23b,
title = "Spatially robust GSC beamforming with controlled white noise gain",
abstract = "Adaptive beamforming is widely used for speech enhancement in telephony and speech recognition applications. We focus on scenarios with a single desired speaker in a non-stationary environmental noise. Many modern beamformers are designed using the desired speaker transfer function (TF), or the respective relative transfer function (RTF). If the relative source position is fixed, tracking the RTF can be avoided. On top of reducing the computational complexity' this may also circumvent the beamformer from enhancing competing sources. In this work, to target such applications, we propose a technique for obtaining a spatially robust generalized sidelobe canceler (GSC) beamformer with controlled white noise gain (WNG). The proposed implementation will introduce robustness to mismatch between the assumed and actual RTFs while maintaining sufficiently large WNG. It allows for high flexibility in shaping the desired response, while maintaining low computational complexity.",
keywords = "Adaptive beamforming, GSC, MVDR, Robustness",
author = "Anna Bamov and Bracha, \{Vered Bar\} and Shmulik Markovich-Golan and Sharon Gannot",
note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 16th International Workshop on Acoustic Signal Enhancement, IWAENC 2018 ; Conference date: 17-09-2018 Through 20-09-2018",
year = "2018",
month = nov,
day = "2",
doi = "10.1109/iwaenc.2018.8521405",
language = "الإنجليزيّة",
series = "16th International Workshop on Acoustic Signal Enhancement, IWAENC 2018 - Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "231--235",
booktitle = "16th International Workshop on Acoustic Signal Enhancement, IWAENC 2018 - Proceedings",
address = "الولايات المتّحدة",
}