2 citations · 2 across the 3 of their papers we have counts for
6 papers
Efficient bandwidth extension of musical signals using a differentiable harmonic plus noise model
Pierre-Amaury Grumiaux, Mathieu Lagrange
The task of bandwidth extension addresses the generation of missing high frequencies of audio signals based on knowledge of the low-frequency part of the sound. This task applies t…
A Survey of Sound Source Localization with Deep Learning Methods
Pierre-Amaury Grumiaux, Srđan Kitić, Laurent Girin +1
This article is a survey on deep learning methods for single and multiple sound source localization. We are particularly interested in sound source localization in indoor/domestic…
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…
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…
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…
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…