7 citations · 17 across the 13 of their papers we have counts for
13 papers
The Third VoicePrivacy Challenge: Preserving Emotional Expressiveness and Linguistic Content in Voice Anonymization
Natalia Tomashenko, Xiaoxiao Miao, Pierre Champion +7
We present results and analyses from the third VoicePrivacy Challenge held in 2024, which focuses on advancing voice anonymization technologies. The task was to develop a voice ano…
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…
Probing the Feasibility of Multilingual Speaker Anonymization
Sarina Meyer, Florian Lux, Ngoc Thang Vu
In speaker anonymization, speech recordings are modified in a way that the identity of the speaker remains hidden. While this technology could help to protect the privacy of indivi…
Meta Learning Text-to-Speech Synthesis in over 7000 Languages
Florian Lux, Sarina Meyer, Lyonel Behringer +5
In this work, we take on the challenging task of building a single text-to-speech synthesis system that is capable of generating speech in over 7000 languages, many of which lack s…
The VoicePrivacy 2024 Challenge Evaluation Plan
Natalia Tomashenko, Xiaoxiao Miao, Pierre Champion +7
The task of the challenge is to develop a voice anonymization system for speech data which conceals the speaker's voice identity while protecting linguistic content and emotional s…
Controllable Generation of Artificial Speaker Embeddings through Discovery of Principal Directions
Florian Lux, Pascal Tilli, Sarina Meyer +1
Customizing voice and speaking style in a speech synthesis system with intuitive and fine-grained controls is challenging, given that little data with appropriate labels is availab…
The IMS Toucan System for the Blizzard Challenge 2023
Florian Lux, Julia Koch, Sarina Meyer +5
For our contribution to the Blizzard Challenge 2023, we improved on the system we submitted to the Blizzard Challenge 2021. Our approach entails a rule-based text-to-phoneme proces…
VoicePAT: An Efficient Open-source Evaluation Toolkit for Voice Privacy Research
Sarina Meyer, Xiaoxiao Miao, Ngoc Thang Vu
Speaker anonymization is the task of modifying a speech recording such that the original speaker cannot be identified anymore. Since the first Voice Privacy Challenge in 2020, alon…
Modeling Speaker-Listener Interaction for Backchannel Prediction
Daniel Ortega, Sarina Meyer, Antje Schweitzer +1
We present our latest findings on backchannel modeling novelly motivated by the canonical use of the minimal responses Yeah and Uh-huh in English and their correspondent tokens in…
Anonymizing Speech with Generative Adversarial Networks to Preserve Speaker Privacy
Sarina Meyer, Pascal Tilli, Pavel Denisov +3
In order to protect the privacy of speech data, speaker anonymization aims for hiding the identity of a speaker by changing the voice in speech recordings. This typically comes wit…
Speaker Anonymization with Phonetic Intermediate Representations
Sarina Meyer, Florian Lux, Pavel Denisov +3
In this work, we propose a speaker anonymization pipeline that leverages high quality automatic speech recognition and synthesis systems to generate speech conditioned on phonetic…