Exploring Green AI for Audio Deepfake Detection

arXiv:2403.14290v1 Announce Type: cross
Abstract: The state-of-the-art audio deepfake detectors leveraging deep neural networks exhibit impressive recognition performance. Nonetheless, this advantage is accompanied by a significant carbon footprint. This is mainly due to the use of high-performance computing with accelerators and high training time. Studies show that average deep NLP model produces around 626k lbs of CO\textsubscript{2} which is equivalent to five times of average US car emission at its lifetime. This is certainly a massive threat to the environment. …

arxiv audio audio deepfake cs.cv cs.lg cs.sd deepfake detection eess.as green green ai type