activity
20192026
most citedOpen Challenges in Synthetic Speech Detection

31 citations · 48 across the 8 of their papers we have counts for

collaborators
Showing eess.ASShow all

5 papers · 1 filter

eess.AS2026

Neural Encoding Detection is Not All You Need for Synthetic Speech Detection

Luca Cuccovillo, Xin Wang, Milica Gerhardt +1

This paper reviews the current state and emerging trends in synthetic speech detection. It outlines the main data-driven approaches, discusses the advantages and drawbacks of focus…

eess.AS2022★ 6 cited

Environment Classification via Blind Roomprints Estimation

Malte Baum, Luca Cuccovillo, Artem Yaroshchuk +1

In this paper we present a novel approach for environment classification for speech recordings, which does not require the selection of decaying reverberation tails. It is based on…

eess.AS2022★ 31 cited

Open Challenges in Synthetic Speech Detection

Luca Cuccovillo, Christoforos Papastergiopoulos, Anastasios Vafeiadis +4

In this paper the current status and open challenges of synthetic speech detection are addressed. The work comprises an initial analysis of available open datasets and of existing…

eess.AS2022★ 7 cited

Speaker-Independent Microphone Identification in Noisy Conditions

Antonio Giganti, Luca Cuccovillo, Paolo Bestagini +2

This work proposes a method for source device identification from speech recordings that applies neural-network-based denoising, to mitigate the impact of counter-forensics attacks…

eess.AS2022★ 4 cited

Spectral Denoising for Microphone Classification

L. Cuccovillo, A. Giganti, P. Bestagini +2

In this paper, we propose the use of denoising for microphone classification, to enable its usage for several key application domains that involve noisy conditions. We describe the…