2 citations · 3 across the 6 of their papers we have counts for
6 papers
Explainable DNN-based Beamformer with Postfilter
Adi Cohen, Daniel Wong, Jung-Suk Lee +1
This paper introduces an explainable DNN-based beamformer with a postfilter (ExNet-BF+PF) for multichannel signal processing. Our approach combines the U-Net network with a beamfor…
RevRIR: Joint Reverberant Speech and Room Impulse Response Embedding using Contrastive Learning with Application to Room Shape Classification
Jacob Bitterman, Daniel Levi, Hilel Hagai Diamandi +2
This paper focuses on room fingerprinting, a task involving the analysis of an audio recording to determine the specific volume and shape of the room in which it was captured. Whil…
Concurrent Speaker Detection: A multi-microphone Transformer-Based Approach
Amit Eliav, Sharon Gannot
We present a deep-learning approach for the task of Concurrent Speaker Detection (CSD) using a modified transformer model. Our model is designed to handle multi-microphone data but…
Single-Microphone Speaker Separation and Voice Activity Detection in Noisy and Reverberant Environments
Renana Opochinsky, Mordehay Moradi, Sharon Gannot
Speech separation involves extracting an individual speaker's voice from a multi-speaker audio signal. The increasing complexity of real-world environments, where multiple speakers…
A two-stage speaker extraction algorithm under adverse acoustic conditions using a single-microphone
Aviad Eisenberg, Sharon Gannot, Shlomo E. Chazan
In this work, we present a two-stage method for speaker extraction under reverberant and noisy conditions. Given a reference signal of the desired speaker, the clean, but the still…
Semi-Supervised Source Localization on Multiple-Manifolds with Distributed Microphones
Bracha Laufer-Goldshtein, Ronen Talmon, Sharon Gannot
The problem of source localization with ad hoc microphone networks in noisy and reverberant enclosures, given a training set of prerecorded measurements, is addressed in this paper…