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
8 papers · 1 filter
ANGUS: Real-time manipulation of vocal roughness for emotional speech transformations
Marco Liuni, Luc Ardaillon, Louise Bonal +2
Vocal arousal, the non-linear acoustic features taken on by human and animal vocalizations when highly aroused, has an important communicative function because it signals aversive…
Timbre latent space: exploration and creative aspects
Antoine Caillon, Adrien Bitton, Brice Gatinet +1
Recent studies show the ability of unsupervised models to learn invertible audio representations using Auto-Encoders. They enable high-quality sound synthesis but a limited control…
Creativity in the era of artificial intelligence
Philippe Esling, Ninon Devis
Creativity is a deeply debated topic, as this concept is arguably quintessential to our humanity. Across different epochs, it has been infused with an extensive variety of meanings…
Neural Granular Sound Synthesis
Adrien Bitton, Philippe Esling, Tatsuya Harada
Granular sound synthesis is a popular audio generation technique based on rearranging sequences of small waveform windows. In order to control the synthesis, all grains in a given…
Ultra-light deep MIR by trimming lottery tickets
Philippe Esling, Theis Bazin, Adrien Bitton +2
Current state-of-the-art results in Music Information Retrieval are largely dominated by deep learning approaches. These provide unprecedented accuracy across all tasks. However, t…
Diet deep generative audio models with structured lottery
Philippe Esling, Ninon Devis, Adrien Bitton +3
Deep learning models have provided extremely successful solutions in most audio application fields. However, the high accuracy of these models comes at the expense of a tremendous…