Andrea Vaglio

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 Andrea Vaglio trusts overall

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

  1. Antoine Liutkus
  2. Yuki Mitsufuji
  3. Naoya Takahashi
  4. Jyh-Shing Roger Jang
  5. Chao-Ling Hsu

Who trusts Andrea Vaglio overall

  1. Romain Hennequin

Papers from Andrea Vaglio's perspective

Ordered by how strongly the researchers Andrea Vaglio 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