4 papers
Neural Multichannel Distant Speaker Diarization with Heavy-tailed Source Separation Model
Sicheng Mao, Baihan Li, Mathieu Fontaine +2
Distant speaker diarization remains challenging due to difficult acoustic environments, varying numbers of speakers and overlapping speech. Model-driven methods are proposed to exp…
Neural Multichannel Distant Speaker Diarization and Source Separation with Beta Speaker Activity Prior
Sicheng Mao, Mathieu Fontaine, Anthony Larcher +1
Distant speaker diarization remains challenging due to adverse acoustic conditions, varying numbers of speakers and overlapping speech. While data-driven approaches have shown stro…
Taylor-SWFT: fast discrete Statistical Wave Field Theory using Taylor expansion for late reverberation Work under review
Marius Rodrigues, Louis Lalay, Roland Badeau +2
Dynamic room acoustic simulation aims to render the acoustic effects of an environment in real time while accounting for potentially moving sources and receivers. In this context,…
Is Phase Really Needed for Weakly-Supervised Dereverberation ?
Marius Rodrigues, Louis Bahrman, Roland Badeau +1
In unsupervised or weakly-supervised approaches for speech dereverberation, the target clean (dry) signals are considered to be unknown during training. In that context, evaluating…