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Energy Consumption of Deep Generative Audio Models
v1v2 (latest)

Energy Consumption of Deep Generative Audio Models

6 July 2021
Constance Douwes
P. Esling
Jean-Pierre Briot
    MedIm
ArXiv (abs)PDFHTML

Papers citing "Energy Consumption of Deep Generative Audio Models"

10 / 10 papers shown
Small is Sufficient: Reducing the World AI Energy Consumption Through Model Selection
Small is Sufficient: Reducing the World AI Energy Consumption Through Model Selection
Tiago da Silva Barros
Frédéric Giroire
Ramon Aparicio-Pardo
Joanna Moulierac
196
1
0
02 Oct 2025
Diffused Responsibility: Analyzing the Energy Consumption of Generative Text-to-Audio Diffusion Models
Diffused Responsibility: Analyzing the Energy Consumption of Generative Text-to-Audio Diffusion Models
Riccardo Passoni
Francesca Ronchini
Luca Comanducci
Romain Serizel
Fabio Antonacci
DiffM
473
1
0
12 May 2025
Detecting Musical Deepfakes
Detecting Musical Deepfakes
Nick Sunday
267
0
0
03 May 2025
Bringing together invertible UNets with invertible attention modules for memory-efficient diffusion models
Bringing together invertible UNets with invertible attention modules for memory-efficient diffusion models
Karan Jain
Mohammad Nayeem Teli
MedIm
170
0
0
15 Apr 2025
Sound Check: Auditing Audio Datasets
Sound Check: Auditing Audio Datasets
William Agnew
Julia Barnett
Annie Chu
Rachel Hong
Michael Feffer
Robin Netzorg
Harry H. Jiang
Ezra Awumey
Sauvik Das
372
2
0
17 Oct 2024
Energy Consumption Trends in Sound Event Detection Systems
Energy Consumption Trends in Sound Event Detection SystemsIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2024
Constance Douwes
Romain Serizel
332
2
0
13 Sep 2024
Normalizing Energy Consumption for Hardware-Independent Evaluation
Normalizing Energy Consumption for Hardware-Independent EvaluationInternational Workshop on Machine Learning for Signal Processing (MLSP), 2024
Constance Douwes
Romain Serizel
211
1
0
09 Sep 2024
The Ethical Implications of Generative Audio Models: A Systematic
  Literature Review
The Ethical Implications of Generative Audio Models: A Systematic Literature ReviewAAAI/ACM Conference on AI, Ethics, and Society (AIES), 2023
J. Barnett
269
50
0
07 Jul 2023
Towards energy-efficient Deep Learning: An overview of energy-efficient
  approaches along the Deep Learning Lifecycle
Towards energy-efficient Deep Learning: An overview of energy-efficient approaches along the Deep Learning Lifecycle
Vanessa Mehlin
Sigurd Schacht
Carsten Lanquillon
HAIMedIm
266
27
0
05 Feb 2023
And what if two musical versions don't share melody, harmony, rhythm, or
  lyrics ?
And what if two musical versions don't share melody, harmony, rhythm, or lyrics ?International Society for Music Information Retrieval Conference (ISMIR), 2022
M. Abrassart
Guillaume Doras
140
6
0
03 Oct 2022
1
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