Channing Moore

Signal Processing · 2021

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Channing Moore trusts

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

  1. Justin Salamon (in Signal Processing)
  2. Juan Pablo Bello (in Signal Processing)

Papers from Channing Moore's perspective

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

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. TUT database for acoustic scene classification and sound event detection
  3. CNN architectures for large-scale audio classification
  4. A Dataset and Taxonomy for Urban Sound Research
  5. Revisiting Unreasonable Effectiveness of Data in Deep Learning Era
  6. DCASE2017 Challenge Setup: Tasks, Datasets and Baseline System
  7. Sound Event Detection in Domestic Environments with Weakly Labeled Data and Soundscape Synthesis
  8. Detection and Classification of Acoustic Scenes and Events: Outcome of the DCASE 2016 Challenge
  9. Audio tagging with noisy labels and minimal supervision
  10. Scaper: A library for soundscape synthesis and augmentation

Their papers