6 papers · 1 filter
Exploring Representation Autoencoders for Text-to-Audio Generation
Bernardo V. Miranda, Hugo Malard, Gaël Richard +2
Representation autoencoders (RAE), created by pairing a frozen pretrained self-supervised learning (SSL) encoder with a trained decoder, have recently demonstrated state-of-the-art…
The Internet Archive Music Dataset
Paraskevas Stamatiadis, Bernardo V Miranda, Clémentine Berger +3
We introduce the Internet Archive Music Dataset (IAMD), a large-scale collection of captioned music segments derived from the Internet Archive. To the best of our knowledge, IAMD c…
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,…
Contrastive Knowledge Distillation for Embedding Refinement in Personalized Speech Enhancement
Thomas Serre, Mathieu Fontaine, Éric Benhaim +1
Personalized speech enhancement (PSE) has shown convincing results when it comes to extracting a known target voice among interfering ones. The corresponding systems usually incorp…