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2003.07839
Cited By

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

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

European Signal Processing Conference (EUSIPCO), 2020

17 March 2020

Pierre-Amaury Grumiaux

Alexandre Guérin

ArXiv (abs)PDF HTML

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

5 / 5 papers shown

LSTM-CNN Network for Audio Signature Analysis in Noisy Environments

LSTM-CNN Network for Audio Signature Analysis in Noisy Environments

Praveen Damacharla

Hamid Rajabalipanah

131

3

0

12 Dec 2023

Multi-microphone Automatic Speech Segmentation in Meetings Based on
Circular Harmonics Features

Multi-microphone Automatic Speech Segmentation in Meetings Based on Circular Harmonics FeaturesInterspeech (Interspeech), 2023

Anthony Larcher

Silvio Montrésor

Jean-Hugh Thomas

314

3

0

07 Jun 2023

A Survey of Sound Source Localization with Deep Learning Methods

A Survey of Sound Source Localization with Deep Learning MethodsJournal of the Acoustical Society of America (JASA), 2021

Pierre-Amaury Grumiaux

Alexandre Guérin

368

340

0

08 Sep 2021

BeamLearning: an end-to-end Deep Learning approach for the angular
localization of sound sources using raw multichannel acoustic pressure data

BeamLearning: an end-to-end Deep Learning approach for the angular localization of sound sources using raw multichannel acoustic pressure dataJournal of the Acoustical Society of America (JASA), 2021

Alexandre Garcia

246

27

0

27 Apr 2021

Multichannel CRNN for Speaker Counting: an Analysis of Performance

Multichannel CRNN for Speaker Counting: an Analysis of Performance

Pierre-Amaury Grumiaux

Alexandre Guérin

143

1

0

06 Jan 2021

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