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20212026
most citedExploring the Importance of F0 Trajectories for Speaker Anonymization using X-vectors and Neural Waveform Models

5 citations · 9 across the 6 of their papers we have counts for

collaborators

7 papers

eess.AS2026

Bin2Ambi: Learning Ambisonic Soundfield Reconstruction from Head-Tracked Binaural Audio

Gavin Milner, Nils Peters

User-generated content has become one of the most-consumed content types. However, capturing spatial audio with consumer hardware is still challenging. Given the widespread success…

eess.AS2023

Evaluation of the Speech Resynthesis Capabilities of the VoicePrivacy Challenge Baseline B1

Ünal Ege Gaznepoglu, Nils Peters

Speaker anonymization systems continue to improve their ability to obfuscate the original speaker characteristics in a speech signal, but often create processing artifacts and unna…

eess.AS2023★ 1 cited

Deep Learning-based F0 Synthesis for Speaker Anonymization

Ünal Ege Gaznepoglu, Nils Peters

Voice conversion for speaker anonymization is an emerging concept for privacy protection. In a deep learning setting, this is achieved by extracting multiple features from speech,…

eess.AS2022★ 3 cited

VoicePrivacy 2022 System Description: Speaker Anonymization with Feature-matched F0 Trajectories

Ünal Ege Gaznepoglu, Anna Leschanowsky, Nils Peters

We introduce a novel method to improve the performance of the VoicePrivacy Challenge 2022 baseline B1 variants. Among the known deficiencies of x-vector-based anonymization systems…

eess.AS2021

On The Effect Of Coding Artifacts On Acoustic Scene Classification

Nagashree K. S. Rao, Nils Peters

Previous DCASE challenges contributed to an increase in the performance of acoustic scene classification systems. State-of-the-art classifiers demand significant processing capabil…

cs.SD2021

Storage and Authentication of Audio Footage for IoAuT Devices Using Distributed Ledger Technology

Srivatsav Chenna, Nils Peters

Detection of fabricated or manipulated audio content to prevent, e.g., distribution of forgeries in digital media, is crucial, especially in political and reputational contexts. Be…

eess.AS2021★ 5 cited

Exploring the Importance of F0 Trajectories for Speaker Anonymization using X-vectors and Neural Waveform Models

Ünal Ege Gaznepoglu, Nils Peters

Voice conversion for speaker anonymization is an emerging field in speech processing research. Many state-of-the-art approaches are based on the resynthesis of the phoneme posterio…