1 citations · 1 across the 16 of their papers we have counts for
3 papers · 2 filters
Multiple Choice Learning for Efficient Speech Separation with Many Speakers
David Perera, François Derrida, Théo Mariotte +2
Training speech separation models in the supervised setting raises a permutation problem: finding the best assignation between the model predictions and the ground truth separated…
Learning Source Disentanglement in Neural Audio Codec
Xiaoyu Bie, Xubo Liu, Gaël Richard
Neural audio codecs have significantly advanced audio compression by efficiently converting continuous audio signals into discrete tokens. These codecs preserve high-quality sound…
Speech dereverberation constrained on room impulse response characteristics
Louis Bahrman, Mathieu Fontaine, Jonathan Le Roux +1
Single-channel speech dereverberation aims at extracting a dry speech signal from a recording affected by the acoustic reflections in a room. However, most current deep learning-ba…