6 papers
DeepFense: A Unified, Modular, and Extensible Framework for Robust Deepfake Audio Detection
Yassine El Kheir, Arnab Das, Yixuan Xiao +6
Speech deepfake detection is a well-established research field with different models, datasets, and training strategies. However, the lack of standardized implementations and evalu…
Use Cases for Voice Anonymization
Sarina Meyer, Ngoc Thang Vu
The performance of a voice anonymization system is typically measured according to its ability to hide the speaker's identity and keep the data's utility for downstream tasks. This…
The Risks and Detection of Overestimated Privacy Protection in Voice Anonymisation
Michele Panariello, Sarina Meyer, Pierre Champion +4
Voice anonymisation aims to conceal the voice identity of speakers in speech recordings. Privacy protection is usually estimated from the difficulty of using a speaker verification…
First Steps Towards Voice Anonymization for Code-Switching Speech
Sarina Meyer, Ekaterina Kolos, Ngoc Thang Vu
The goal of voice anonymization is to modify an audio such that the true identity of its speaker is hidden. Research on this task is typically limited to the same English read spee…
Investigating Stochastic Methods for Prosody Modeling in Speech Synthesis
Paul Mayer, Florian Lux, Alejandro Pérez-González-de-Martos +4
While generative methods have progressed rapidly in recent years, generating expressive prosody for an utterance remains a challenging task in text-to-speech synthesis. This is par…
High-Resolution Speech Restoration with Latent Diffusion Model
Tushar Dhyani, Florian Lux, Michele Mancusi +3
Traditional speech enhancement methods often oversimplify the task of restoration by focusing on a single type of distortion. Generative models that handle multiple distortions fre…