8 citations · 15 across the 7 of their papers we have counts for
7 papers
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…
Back to the Future: GNN-based NO Forecasting via Future Covariates
Antonio Giganti, Sara Mandelli, Paolo Bestagini +4
Due to the latest environmental concerns in keeping at bay contaminants emissions in urban areas, air pollution forecasting has been rising the forefront of all researchers around…
Spectrogram-Based Detection of Auto-Tuned Vocals in Music Recordings
Mahyar Gohari, Paolo Bestagini, Sergio Benini +1
In the domain of music production and audio processing, the implementation of automatic pitch correction of the singing voice, also known as Auto-Tune, has significantly transforme…
Compression Robust Synthetic Speech Detection Using Patched Spectrogram Transformer
Amit Kumar Singh Yadav, Ziyue Xiang, Kratika Bhagtani +3
Many deep learning synthetic speech generation tools are readily available. The use of synthetic speech has caused financial fraud, impersonation of people, and misinformation to s…
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…
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…