Geoffroy Peeters

Signal Processing · 2011–2019

A researcher in the Science corpus: 2 papers; trusts 13 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Signal Processing — 10 citations into it
• Speech & Audio — 5 citations into it

Whom Geoffroy Peeters trusts overall

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

1. Arturo Camacho
2. Diederik P. Kingma

Who trusts Geoffroy Peeters overall

1. Xavier Favory
2. Alexandre D'efossez
3. Frederic Font

Papers from Geoffroy Peeters's perspective

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

1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
2. U-Net: Convolutional Networks for Biomedical Image Segmentation (International Conference on Medical Image Computing and Computer-Assisted Intervention)
3. Performance measurement in blind audio source separation
4. The 2018 Signal Separation Evaluation Campaign
5. Improving music source separation based on deep neural networks through data augmentation and network blending
6. MUSDB18 - a corpus for music separation
7. MedleyDB: A Multitrack Dataset for Annotation-Intensive MIR Research (International Society for Music Information Retrieval Conference)
8. Wave-U-Net: A Multi-Scale Neural Network for End-to-End Audio Source Separation
9. Monoaural Audio Source Separation Using Deep Convolutional Neural Networks
10. Robust principal component analysis?

Their papers

• Improving singing voice separation using Deep U-Net and Wave-U-Net with data augmentation (2019) — 27 citations
• The Timbre Toolbox: extracting audio descriptors from musical signals. (2011) — 421 citations