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Kotti, Sofia Eirini (author), Heusdens, R. (author), Hendriks, R.C. (author)
The use of wireless acoustic sensor networks (WASNs) has received increased attention over the last decade. The advantages of WASNs over stand-alone multi-microphone devices are that the microphone array is not anymore limited by the dimensions of a single device, and that microphones can be placed at arbitrary locations. One of the...
conference paper 2020
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Zhang, J. (author), Heusdens, R. (author), Hendriks, R.C. (author)
Power usage is an important aspect of wireless acoustic sensor networks (WASNs) and reducing the amount of information that is to be transmitted is one effective way to save it. In previous contributions, we presented sensor selection as well as rate distribution methods to reduce the power usage of beamforming algorithms in WASNs. Taking...
conference paper 2019
document
Koutrouvelis, A. (author), Hendriks, R.C. (author), Heusdens, R. (author), Jensen, Jesper (author)
In this paper, we propose a new binaural beamforming technique, which can be seen as a relaxation of the linearly constrained minimum variance (LCMV) framework. The proposed method can achieve simultaneous noise reduction and exact binaural cue preservation of the target source, similar to the binaural minimum variance distortionless response ...
journal article 2017