Energy Consumption of Deep Generative Audio Models

6 July 2021

Papers citing "Energy Consumption of Deep Generative Audio Models"

10 / 10 papers shown

Title
Diffused Responsibility: Analyzing the Energy Consumption of Generative Text-to-Audio Diffusion Models Riccardo Passoni Francesca Ronchini Luca Comanducci Romain Serizel Fabio Antonacci DiffM 38 0 0 12 May 2025
Detecting Musical Deepfakes Nick Sunday 19 0 0 03 May 2025
Bringing together invertible UNets with invertible attention modules for memory-efficient diffusion models Karan Jain Mohammad Nayeem Teli MedIm 27 0 0 15 Apr 2025
Sound Check: Auditing Audio Datasets William Agnew Julia Barnett Annie Chu Rachel Hong Michael Feffer Robin Netzorg Harry H. Jiang Ezra Awumey Sauvik Das 44 1 0 17 Oct 2024
Energy Consumption Trends in Sound Event Detection Systems Constance Douwes Romain Serizel 43 1 0 13 Sep 2024
Normalizing Energy Consumption for Hardware-Independent Evaluation Constance Douwes Romain Serizel 48 1 0 09 Sep 2024
The Ethical Implications of Generative Audio Models: A Systematic Literature Review J. Barnett 31 25 0 07 Jul 2023
Towards energy-efficient Deep Learning: An overview of energy-efficient approaches along the Deep Learning Lifecycle Vanessa Mehlin Sigurd Schacht Carsten Lanquillon HAI MedIm 33 19 0 05 Feb 2023
And what if two musical versions don't share melody, harmony, rhythm, or lyrics ? M. Abrassart Guillaume Doras 31 3 0 03 Oct 2022
Measuring the Algorithmic Efficiency of Neural Networks Danny Hernandez Tom B. Brown 241 94 0 08 May 2020