574 citations · 866 across the 29 of their papers we have counts for
4 papers · 1 filter
Misalignment Recognition in Acoustic Sensor Networks using a Semi-supervised Source Estimation Method and Markov Random Fields
Gabriel F Miller, Andreas Brendel, Walter Kellermann +1
In this paper, we consider the problem of acoustic source localization by acoustic sensor networks (ASNs) using a promising, learning-based technique that adapts to the acoustic en…
Scene-Agnostic Multi-Microphone Speech Dereverberation
Yochai Yemini, Ethan Fetaya, Haggai Maron +1
Neural networks (NNs) have been widely applied in speech processing tasks, and, in particular, those employing microphone arrays. Nevertheless, most existing NN architectures can o…
FCN Approach for Dynamically Locating Multiple Speakers
Hodaya Hammer, Shlomo E. Chazan, Jacob Goldberger +1
In this paper, we present a deep neural network-based online multi-speaker localisation algorithm. Following the W-disjoint orthogonality principle in the spectral domain, each tim…
Semi-supervised source localization with deep generative modeling
Michael J. Bianco, Sharon Gannot, Peter Gerstoft
We propose a semi-supervised localization approach based on deep generative modeling with variational autoencoders (VAEs). Localization in reverberant environments remains a challe…