@misc{10481/96651,
year = {2024},
month = {10},
url = {https://hdl.handle.net/10481/96651},
abstract = {This paper presents the multidisciplinary work carried out in the RTVE-UGR Chair within
the IVERES project, whose main objective is the development of a tool for journalists to verify the
veracity of the audios that reach the newsrooms. In the current context, voice synthesis has both
beneficial and detrimental applications, with audio deepfakes being a significant concern in the world
of journalism due to their ability to mislead and misinform. This is a multifaceted problem that can
only be tackled adopting a multidisciplinary perspective. In this article, we describe the approach
we adopted within the RTVE-UGR Chair to successfully address the challenges derived from audio
deepfakes involving a team with different backgrounds and a specific methodology of iterative
co-creation. As a result, we present several outcomes including the compilation and generation of
audio datasets, the development and deployment of several audio fake detection models, and the
development of a web audio verification tool addressed to journalists. As a conclusion, we highlight
the importance of this systematic collaborative work in the fight against misinformation and the
future potential of audio verification technologies in various applications.},
organization = {Project IVERES (PLEC2021-008176), financed by MCIN/AEI/10.13-
039/501100011033},
organization = {European Union “NextGenerationEU”/PRTR},
organization = {RTVE-UGR
Chair},
publisher = {MDPI},
keywords = {audio deepfake},
keywords = {speech synthesis},
keywords = {voice conversion},
title = {Deep Speech Synthesis and Its Implications for News Verification: Lessons Learned in the RTVE-UGR Chair},
doi = {10.3390/app14219916},
author = {Calderón-González, Daniel and Ábalos, Nieves and Bayo, Blanca and Cánovas, Pedro and Griol Barres, David and Muñoz-Romero, Carlos and Pérez Cernuda, Carmen and Vila Fumas, Pere and Callejas Carrión, Zoraida},
}