Jimena Royo-Letelier

Signal Processing · 2019

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Jimena Royo-Letelier trusts overall

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

  1. Naoya Takahashi
  2. Antoine Liutkus
  3. Chao-Ling Hsu

Who trusts Jimena Royo-Letelier overall

  1. Romain Hennequin

Papers from Jimena Royo-Letelier's perspective

Ordered by how strongly the researchers Jimena Royo-Letelier trusts endorse each paper. Same corpus, a different order for every researcher.

  1. The 2018 Signal Separation Evaluation Campaign
  2. U-Net: Convolutional Networks for Biomedical Image Segmentation (International Conference on Medical Image Computing and Computer-Assisted Intervention)
  3. Improving music source separation based on deep neural networks through data augmentation and network blending
  4. MUSDB18 - a corpus for music separation
  5. MedleyDB: A Multitrack Dataset for Annotation-Intensive MIR Research (International Society for Music Information Retrieval Conference)
  6. Wave-U-Net: A Multi-Scale Neural Network for End-to-End Audio Source Separation
  7. Multi-Scale multi-band densenets for audio source separation
  8. Singing Voice Separation with Deep U-Net Convolutional Networks
  9. Monoaural Audio Source Separation Using Deep Convolutional Neural Networks
  10. On the Improvement of Singing Voice Separation for Monaural Recordings Using the MIR-1K Dataset (IEEE Transactions on Audio, Speech, and Language Processing)

Their papers