most citedAll-for-One and One-For-All: Deep learning-based feature fusion for Synthetic Speech Detection

1 citations · 1 across the 2 of their papers we have counts for

collaborators

2 papers

cs.CV2024

Enhancing the Rate-Distortion-Perception Flexibility of Learned Image Codecs with Conditional Diffusion Decoders

Daniele Mari, Simone Milani

Learned image compression codecs have recently achieved impressive compression performances surpassing the most efficient image coding architectures. However, most approaches are t…

cs.SD2023★ 1 cited

All-for-One and One-For-All: Deep learning-based feature fusion for Synthetic Speech Detection

Daniele Mari, Davide Salvi, Paolo Bestagini +1

Recent advances in deep learning and computer vision have made the synthesis and counterfeiting of multimedia content more accessible than ever, leading to possible threats and dan…