344 citations · 1.2k across the 37 of their papers we have counts for
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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…
A Benchmark of Dynamical Variational Autoencoders applied to Speech Spectrogram Modeling
Xiaoyu Bie, Laurent Girin, Simon Leglaive +2
The Variational Autoencoder (VAE) is a powerful deep generative model that is now extensively used to represent high-dimensional complex data via a low-dimensional latent space lea…
Unsupervised Speech Enhancement using Dynamical Variational Auto-Encoders
Xiaoyu Bie, Simon Leglaive, Xavier Alameda-Pineda +1
Dynamical variational autoencoders (DVAEs) are a class of deep generative models with latent variables, dedicated to model time series of high-dimensional data. DVAEs can be consid…
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…
Learning robust speech representation with an articulatory-regularized variational autoencoder
Marc-Antoine Georges, Laurent Girin, Jean-Luc Schwartz +1
It is increasingly considered that human speech perception and production both rely on articulatory representations. In this paper, we investigate whether this type of representati…
Alternate Endings: Improving Prosody for Incremental Neural TTS with Predicted Future Text Input
Brooke Stephenson, Thomas Hueber, Laurent Girin +1
The prosody of a spoken word is determined by its surrounding context. In incremental text-to-speech synthesis, where the synthesizer produces an output before it has access to the…
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…