output
20202026
most citedFair Regression with Wasserstein Barycenters

17 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

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6 papers · 1 filter

cs.SD2025

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…

cs.SD2025★ 1 cited

Of All StrIPEs: Investigating Structure-informed Positional Encoding for Efficient Music Generation

Manvi Agarwal, Changhong Wang, Gael Richard

While music remains a challenging domain for generative models like Transformers, a two-pronged approach has recently proved successful: inserting musically-relevant structural inf…

cs.SD2025

F-StrIPE: Fast Structure-Informed Positional Encoding for Symbolic Music Generation

Manvi Agarwal, Changhong Wang, Gael Richard

While music remains a challenging domain for generative models like Transformers, recent progress has been made by exploiting suitable musically-informed priors. One technique to l…

cs.SD2024

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…

cs.SD2024

A lightweight dual-stage framework for personalized speech enhancement based on DeepFilterNet2

Thomas Serre, Mathieu Fontaine, Éric Benhaim +2

Isolating the desired speaker's voice amidst multiplespeakers in a noisy acoustic context is a challenging task. Per-sonalized speech enhancement (PSE) endeavours to achievethis by…

cs.SD2024

Unsupervised Harmonic Parameter Estimation Using Differentiable DSP and Spectral Optimal Transport

Bernardo Torres, Geoffroy Peeters, Gaël Richard

In neural audio signal processing, pitch conditioning has been used to enhance the performance of synthesizers. However, jointly training pitch estimators and synthesizers is a cha…