Energy Consumption of Deep Generative Audio Models

v1v2 (latest)

Energy Consumption of Deep Generative Audio Models

6 July 2021

Constance Douwes

Jean-Pierre Briot

ArXiv (abs)PDF HTML

Papers citing "Energy Consumption of Deep Generative Audio Models"

9 / 9 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 79 0 0 12 May 2025
Detecting Musical Deepfakes Nick Sunday 74 0 0 03 May 2025
Bringing together invertible UNets with invertible attention modules for memory-efficient diffusion models Karan Jain Mohammad Nayeem Teli MedIm 62 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 127 1 0 17 Oct 2024
Energy Consumption Trends in Sound Event Detection Systems Constance Douwes Romain Serizel 112 1 0 13 Sep 2024
Normalizing Energy Consumption for Hardware-Independent Evaluation Constance Douwes Romain Serizel 72 1 0 09 Sep 2024
The Ethical Implications of Generative Audio Models: A Systematic Literature Review J. Barnett 86 32 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 133 20 0 05 Feb 2023
And what if two musical versions don't share melody, harmony, rhythm, or lyrics ? M. Abrassart Guillaume Doras 55 3 0 03 Oct 2022

We use cookies and other tracking technologies to improve your browsing experience on our website, to show you personalized content and targeted ads, to analyze our website traffic, and to understand where our visitors are coming from. See our policy.