most citedMultichannel CRNN for Speaker Counting: an Analysis of Performance

2 citations · 2 across the 3 of their papers we have counts for

collaborators

5 papers

cs.SD2021

SALADnet: Self-Attentive multisource Localization in the Ambisonics Domain

Pierre-Amaury Grumiaux, Srdan Kitic, Prerak Srivastava +2

In this work, we propose a novel self-attention based neural network for robust multi-speaker localization from Ambisonics recordings. Starting from a state-of-the-art convolutiona…

cs.SD2021

Improved feature extraction for CRNN-based multiple sound source localization

Pierre-Amaury Grumiaux, Srdan Kitic, Laurent Girin +1

In this work, we propose to extend a state-of-the-art multi-source localization system based on a convolutional recurrent neural network and Ambisonics signals. We significantly im…

cs.SD20212 cited

Multichannel CRNN for Speaker Counting: an Analysis of Performance

Pierre-Amaury Grumiaux, Srdan Kitic, Laurent Girin +1

Speaker counting is the task of estimating the number of people that are simultaneously speaking in an audio recording. For several audio processing tasks such as speaker diarizati…

eess.AS2020

Dilated U-net based approach for multichannel speech enhancement from First-Order Ambisonics recordings

Amélie Bosca, Alexandre Guérin, Lauréline Perotin +1

We present a CNN architecture for speech enhancement from multichannel first-order Ambisonics mixtures. The data-dependent spatial filters, deduced from a mask-based approach, are…

cs.SD2020

High-Resolution Speaker Counting In Reverberant Rooms Using CRNN With Ambisonics Features

Pierre-Amaury Grumiaux, Srdjan Kitic, Laurent Girin +1

Speaker counting is the task of estimating the number of people that are simultaneously speaking in an audio recording. For several audio processing tasks such as speaker diarizati…