80 citations
- Institut de Recherche et Coordination Acoustique MusiqueFR33 papers
- Centre National de la Recherche ScientifiqueFR19 papers
- Sorbonne UniversitéFR15 papers
- Institut Systèmes Intelligents et de RobotiqueFR6 papers
- Centre de Recherche en Sciences et Technologies de l'Information et de la CommunicationFR3 papers
- Institut national de recherche en sciences et technologies du numériqueFR2 papers
- KTH Royal Institute of TechnologySE2 papers
- Sony Computer Science LaboratoriesJP2 papers
- Université de Reims Champagne-ArdenneFR2 papers
- ACT Government1 paper
- Ben-Gurion University of the NegevIL1 paper
- Bibliothèque Nationale de FranceFR1 paper
6 papers · 1 filter
Sound people speak to Star people. A sound experts perspective on astronomy sonification projects
Nicolas Misdariis, Elif Özcan, Massimo Grassi +4
The Audible Universe project aims at making dialogue between two scientific domains investigating two distinct research objects, briefly said, Stars and Sound. It has been instanti…
A Model You Can Hear: Audio Identification with Playable Prototypes
Romain Loiseau, Baptiste Bouvier, Yann Teytaut +3
Machine learning techniques have proved useful for classifying and analyzing audio content. However, recent methods typically rely on abstract and high-dimensional representations…
Zero-Shot Style Transfer for Gesture Animation driven by Text and Speech using Adversarial Disentanglement of Multimodal Style Encoding
Mireille Fares, Michele Grimaldi, Catherine Pelachaud +1
Modeling virtual agents with behavior style is one factor for personalizing human agent interaction. We propose an efficient yet effective machine learning approach to synthesize g…
Audible universe
Chris Harrison, Anita Zanella, Nic Bonne +2
A multi-disciplinary team recently came together online to discuss the application of sonification in astronomy, focussing on the effective use of sound for scientific discovery an…
Streamable Neural Audio Synthesis With Non-Causal Convolutions
Antoine Caillon, Philippe Esling
Deep learning models are mostly used in an offline inference fashion. However, this strongly limits the use of these models inside audio generation setups, as most creative workflo…
Analysis and transformations of voice level in singing voice
Frederik Bous, Axel Roebel
We introduce a neural auto-encoder that transforms the musical dynamic in recordings of singing voice via changes in voice level. Since most recordings of singing voice are not ann…