3 papers
cs.SD2024
Energy Consumption Trends in Sound Event Detection Systems
Constance Douwes, Romain Serizel
Deep learning systems have become increasingly energy- and computation-intensive, raising concerns about their environmental impact. As organizers of the Detection and Classificati…
cs.LG2024
Normalizing Energy Consumption for Hardware-Independent Evaluation
Constance Douwes, Romain Serizel
The increasing use of machine learning (ML) models in signal processing has raised concerns about their environmental impact, particularly during resource-intensive training phases…
cs.LG2024
From Computation to Consumption: Exploring the Compute-Energy Link for Training and Testing Neural Networks for SED Systems
Constance Douwes, Romain Serizel
The massive use of machine learning models, particularly neural networks, has raised serious concerns about their environmental impact. Indeed, over the last few years we have seen…