2 citations · 4 across the 6 of their papers we have counts for
10 papers · 1 filter
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…
Sparsity-based audio declipping methods: selected overview, new algorithms, and large-scale evaluation
Clément Gaultier, Srđan Kitić, Rémi Gribonval +1
Recent advances in audio declipping have substantially improved the state of the art.% in certain saturation regimes. Yet, practitioners need guidelines to choose a method, and whi…
Scattering Features for Multimodal Gait Recognition
Srđan Kitić, Gilles Puy, Patrick Pérez +1
We consider the problem of identifying people on the basis of their walk (gait) pattern. Classical approaches to tackle this problem are based on, e.g., video recordings or piezoel…
A Comparative Study of Multilateration Methods for Single-Source Localization in Distributed Audio
Srđan Kitić, Clément Gaultier, Grégory Pallone
In this article we analyze the state-of-the-art in multilateration - the family of localization methods enabled by the range difference observations. These methods are computationa…