Félix Voituret

Signal Processing · 2019–2020

A researcher in the Science corpus: 2 papers; trusts 11 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Signal Processing — 10 citations into it; #7,235 of 7,572 by trust here, #7,324 by citations
• Artificial Intelligence — 7 citations into it

Whom Félix Voituret trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Laure Prétet
2. Diederik P. Kingma
3. Emmanuel Vincent
4. Andreas Jansson
5. Fabian-Robert Stöter

Who trusts Félix Voituret overall

1. Alexandre D'efossez

Papers from Félix Voituret's perspective

Ordered by how strongly the researchers Félix Voituret trusts endorse each paper. Same corpus, a different order for every researcher.

1. Performance measurement in blind audio source separation
2. MUSDB18 - a corpus for music separation
3. The 2018 Signal Separation Evaluation Campaign
4. Singing Voice Separation with Deep U-Net Convolutional Networks
5. Open-Unmix - A Reference Implementation for Music Source Separation
6. Singing Voice Separation: A Study on Training Data
7. Music Source Separation in the Waveform Domain
8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
9. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
10. ImageNet classification with deep convolutional neural networks

Their papers

• Spleeter: a fast and efficient music source separation tool with pre-trained models (2020) — 363 citations
• SPLEETER: A FAST AND STATE-OF-THE ART MUSIC SOURCE SEPARATION TOOL WITH PRE-TRAINED MODELS (2019)