1 citations · 1 across the 2 of their papers we have counts for
6 papers
Speaker Attentive Speech Emotion Recognition
Clément Le Moine, Nicolas Obin, Axel Roebel
Speech Emotion Recognition (SER) task has known significant improvements over the last years with the advent of Deep Neural Networks (DNNs). However, even the most successful metho…
Towards end-to-end F0 voice conversion based on Dual-GAN with convolutional wavelet kernels
Clément Le Moine Veillon, Nicolas Obin, Axel Roebel
This paper presents a end-to-end framework for the F0 transformation in the context of expressive voice conversion. A single neural network is proposed, in which a first module is…
Semi-supervised learning of glottal pulse positions in a neural analysis-synthesis framework
Frederik Bous, Luc Ardaillon, Axel Roebel
This article investigates into recently emerging approaches that use deep neural networks for the estimation of glottal closure instants (GCI). We build upon our previous approach…
Sound texture synthesis using RI spectrograms
Hugo Caracalla, Axel Roebel
This article introduces a new parametric synthesis method for sound textures based on existing works in visual and sound texture synthesis. Starting from a base sound signal, an op…
CycleGAN Voice Conversion of Spectral Envelopes using Adversarial Weights
Rafael Ferro, Nicolas Obin, Axel Roebel
This paper tackles GAN optimization and stability issues in the context of voice conversion. First, to simplify the conversion task, we propose to use spectral envelopes as inputs.…
GCI detection from raw speech using a fully-convolutional network
Luc Ardaillon, Axel Roebel
Glottal Closure Instants (GCI) detection consists in automatically detecting temporal locations of most significant excitation of the vocal tract from the speech signal. It is used…