Search Results for author:
Found 14 papers, 2 papers with code
META4: Semantically-Aligned Generation of Metaphoric Gestures Using Self-Supervised Text and Speech Representation
Our approach is the first method for generating speech driven metaphoric gestures while leveraging the potential of Image Schemas.
BWSNet: Automatic Perceptual Assessment of Audio Signals
This paper introduces BWSNet, a model that can be trained from raw human judgements obtained through a Best-Worst scaling (BWS) experiment.
TranSTYLer: Multimodal Behavioral Style Transfer for Facial and Body Gestures Generation
Behavior expressivity style is viewed here as the qualitative properties of behaviors.
ZS-MSTM: Zero-Shot Style Transfer for Gesture Animation driven by Text and Speech using Adversarial Disentanglement of Multimodal Style Encoding
In this study, we address the importance of modeling behavior style in virtual agents for personalized human-agent interaction.
Zero-Shot Style Transfer for Gesture Animation driven by Text and Speech using Adversarial Disentanglement of Multimodal Style Encoding
The third goal is to allow zero shot style transfer of speakers unseen during training without retraining the model.
Transformer Network for Semantically-Aware and Speech-Driven Upper-Face Generation
We propose a semantically-aware speech driven model to generate expressive and natural upper-facial and head motion for Embodied Conversational Agents (ECA).
Beyond Voice Identity Conversion: Manipulating Voice Attributes by Adversarial Learning of Structured Disentangled Representations
Voice conversion (VC) consists of digitally altering the voice of an individual to manipulate part of its content, primarily its identity, while maintaining the rest unchanged.
Speaker Attentive Speech Emotion Recognition
Speech Emotion Recognition (SER) task has known significant improvements over the last years with the advent of Deep Neural Networks (DNNs).
Towards end-to-end F0 voice conversion based on Dual-GAN with convolutional wavelet kernels
A single neural network is proposed, in which a first module is used to learn F0 representation over different temporal scales and a second adversarial module is used to learn the transformation from one emotion to another.
La voix act\'ee : pratiques, enjeux, applications (Acted voice : practices, challenges, applications)
La voix act{\'e}e repr{\'e}sente un d{\'e}fi majeur pour les futures interfaces vocales avec un potentiel d{'}application extr{\^e}mement important pour la transformation num{\'e}rique des secteurs de la culture et de la communication, comme la production ou la post-production de voix pour les s{\'e}ries ou le cin{\'e}ma.
CycleGAN Voice Conversion of Spectral Envelopes using Adversarial Weights
This paper tackles GAN optimization and stability issues in the context of voice conversion.
Rhapsodie: a Prosodic-Syntactic Treebank for Spoken French
The main objective of the Rhapsodie project (ANR Rhapsodie 07 Corp-030-01) was to define rich, explicit, and reproducible schemes for the annotation of prosody and syntax in different genres ({\^A}{\mbox{$\pm$}} spontaneous, {\^A}{\mbox{$\pm$}} planned, face-to-face interviews vs. broadcast, etc.
