6 citations · 25 across the 18 of their papers we have counts for
8 papers · 1 filter
Comparative Analysis of ASR Methods for Speech Deepfake Detection
Davide Salvi, Amit Kumar Singh Yadav, Kratika Bhagtani +3
Recent techniques for speech deepfake detection often rely on pre-trained self-supervised models. These systems, initially developed for Automatic Speech Recognition (ASR), have pr…
POLIPHONE: A Dataset for Smartphone Model Identification from Audio Recordings
Davide Salvi, Daniele Ugo Leonzio, Antonio Giganti +4
When dealing with multimedia data, source attribution is a key challenge from a forensic perspective. This task aims to determine how a given content was captured, providing valuab…
Freeze and Learn: Continual Learning with Selective Freezing for Speech Deepfake Detection
Davide Salvi, Viola Negroni, Luca Bondi +2
In speech deepfake detection, one of the critical aspects is developing detectors able to generalize on unseen data and distinguish fake signals across different datasets. Common a…
Leveraging Mixture of Experts for Improved Speech Deepfake Detection
Viola Negroni, Davide Salvi, Alessandro Ilic Mezza +2
Speech deepfakes pose a significant threat to personal security and content authenticity. Several detectors have been proposed in the literature, and one of the primary challenges…
Analyzing the Impact of Splicing Artifacts in Partially Fake Speech Signals
Viola Negroni, Davide Salvi, Paolo Bestagini +1
Speech deepfake detection has recently gained significant attention within the multimedia forensics community. Related issues have also been explored, such as the identification of…
Deepfake Media Forensics: State of the Art and Challenges Ahead
Irene Amerini, Mauro Barni, Sebastiano Battiato +21
AI-generated synthetic media, also called Deepfakes, have significantly influenced so many domains, from entertainment to cybersecurity. Generative Adversarial Networks (GANs) and…
FairSSD: Understanding Bias in Synthetic Speech Detectors
Amit Kumar Singh Yadav, Kratika Bhagtani, Davide Salvi +2
Methods that can generate synthetic speech which is perceptually indistinguishable from speech recorded by a human speaker, are easily available. Several incidents report misuse of…
Listening Between the Lines: Synthetic Speech Detection Disregarding Verbal Content
Davide Salvi, Temesgen Semu Balcha, Paolo Bestagini +1
Recent advancements in synthetic speech generation have led to the creation of forged audio data that are almost indistinguishable from real speech. This phenomenon poses a new cha…