Constance Douwes

Publications

Article dans une revue (1)

Défis énergétiques et écologiques de l’IA pour la création musicale Constance Douwes Revue Francophone d'Informatique et Musique, 2025, Frugalité, pérennité et création (11), pp.1-15. ⟨10.56698/rfim.1052⟩ Article dans une revue hal-05536974v1

Communication dans un congrès (5)

Normalizing Energy Consumption for Hardware-Independent Evaluation Constance Douwes,Romain Serizel 2024 IEEE International Workshop on Machine Learning for Signal Processing, Sep 2024, London, United Kingdom Communication dans un congrès hal-04697122v1
From Computation to Consumption: Exploring the Compute-Energy Link for Training and Testing Neural Networks for SED Systems Constance Douwes,Romain Serizel Detection and Classification of Acoustic Scenes and Events 2024, Oct 2024, Tokyo, Japan Communication dans un congrès hal-04697137v1
Monitoring environmental impact of DCASE systems: Why and how ? Constance Douwes,Francesca Ronchini,Romain Serizel Detection and Classification of Acoustic Scene and Events (DCASE) Workshop, Sep 2023, Tampere (Finlande), Finland Communication dans un congrès hal-04286654v1
Is Quality Enough? Integrating Energy Consumption in a Large-Scale Evaluation of Neural Audio Synthesis Models Constance Douwes,Giovanni Bindi,Antoine Caillon,Philippe Esling,Jean-Pierre Briot 2023 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2023), IEEE, Jun 2023, Ixia-Ialyssos (Rhodes), Greece. ⟨10.1109/ICASSP49357.2023.10096975⟩ Communication dans un congrès hal-04043254v1
Diet deep generative audio models with structured lottery Philippe Esling,Ninon Devis,Adrien Bitton,Antoine Caillon,Axel Chemla--Romeu-Santoset al. 23rd International Conference on Digital Audio Effects (DAFx-20), Sep 2020, Vienne, Austria Communication dans un congrès hal-03208030v1

Pré-publication, Document de travail (2)

Energy Consumption Trends in Sound Event Detection Systems Constance Douwes,Romain Serizel 2024 Pré-publication, Document de travail hal-04697014v1
A multi-objective approach for sustainable generative audio models Constance Douwes,Philippe Esling,Jean-Pierre Briot 2021 Pré-publication, Document de travail hal-03296897v1

Thèse (1)

On the Environmental Impact of Deep Generative Models for Audio Constance Douwes Artificial Intelligence [cs.AI]. Sorbonne Université, 2023. English. ⟨NNT : 2023SORUS074⟩ Thèse tel-04100243v1

Son (1)

The environmental impact of deep learning for audio Constance Douwes 2023 Son hal-04286533v1