5 citations · 9 across the 7 of their papers we have counts for
4 papers · 1 filter
Self-supervised learning with diffusion-based multichannel speech enhancement for speaker verification under noisy conditions
Sandipana Dowerah, Ajinkya Kulkarni, Romain Serizel +1
The paper introduces Diff-Filter, a multichannel speech enhancement approach based on the diffusion probabilistic model, for improving speaker verification performance under noisy…
How to Leverage DNN-based speech enhancement for multi-channel speaker verification?
Sandipana Dowerah, Romain Serizel, Denis Jouvet +2
Speaker verification (SV) suffers from unsatisfactory performance in far-field scenarios due to environmental noise andthe adverse impact of room reverberation. This work presents…
Are disentangled representations all you need to build speaker anonymization systems?
Pierre Champion, Denis Jouvet, Anthony Larcher
Speech signals contain a lot of sensitive information, such as the speaker's identity, which raises privacy concerns when speech data get collected. Speaker anonymization aims to t…
Evaluating X-vector-based Speaker Anonymization under White-box Assessment
Pierre Champion, Denis Jouvet, Anthony Larcher
In the scenario of the Voice Privacy challenge, anonymization is achieved by converting all utterances from a source speaker to match the same target identity; this identity being…