Constance Douwes

About Me

I am associate professor in computer science at Centrale Méditerranée in Marseille (France). I'm specialized in the environmental footprint of modern AI with a particular interest for deep learning audio models.

I did my Ph.D. at IRCAM in Paris (STMS laboratory, ACIDS team) under the supervision of Philippe Esling and Jean-Pierre Briot, where I studied the energy consumption of neural networks applied to music generation.

After that, I worked as a postdoctoral researcher at INRIA in Nancy (LORIA, Multispeech team) under the supervision of Romain Serizel, focusing on the energy footprint of AI systems for sound event detection in the the DCASE challenge.

I am now a member of the QARMA team at the LIS laboratory, continuing to explore the environmental footprint of AI systems.

Videos

🎥 PhD Defense (~45min) : On the Environmental Impact of Deep Generative Models for Audio, 2023 [video][manuscript]

🎥 Keynote JIM (~1h) : Défis énergétiques et écologiques de l'IA pour la création musicale, 2025 [video][slides]

🎥 GreenDays (~20min): Unraveling the Energy Footprint of Deep Audio Models, 2025 [video][slides]

Articles

📄 C. Douwes, R. Serizel, "Energy Consumption Trends in Sound Event Detection Systems", ICASSP 2025. [article][code]

📄 C. Douwes, R. Serizel, "From Computation to Consumption: Exploring the Compute-Energy Link for Training and Testing Neural Networks for Sed Systems", DCASE 2024. [article][code]

📄 S. Cornell, J. Ebbers, C. Douwes, et al., "Sound Event Detection with Heterogeneous Data and Missing Labels", DCASE 2024. [article][code]

📄 C. Douwes, R. Serizel, "Normalizing energy consumption for hardware-independent evaluation", MLSP 2024. [article][code]

📄 C. Douwes, G. Bindi, A. Caillon, P. Esling, JP. Briot "Is Quality Enough? Integrating Energy Consumption in a Large-Scale Evaluation of Neural Audio Synthesis Models", ICASSP 2023. [article][code]

📄 C. Douwes, P. Esling, JP. Briot "Energy Consumption of Deep Generative Audio Models", arXiv 2023. [article]

📄 P. Esling, N. Devis, A. Bitton, et al., "Diet Deep Generative Audio Models with Structured Lottery", 2020. [article][code]

✳ A little DIY origami BD ✳

Done by Shiyata — you can easily download it here .