C4DM at IJCNN 2020

On 19-24 July 2020, several C4DM researchers will participate virtually at the IEEE International Joint Conference on Neural Networks (IJCNN 2020), taking place as part of the 2020 IEEE World Congress on Computational Intelligence (WCCI).

As in previous years, the Centre for Digital Music will have a strong presence at the conference:

• C4DM researchers Dan Stowell and Veronica Morfi are co-organising the IJCNN special session on Deep Learning for Wildlife Bioacoustics, Ecology and Crop Science.

The following papers authored/co-authored by C4DM members will be presented at the conference:

• Automatic Lyrics Transcription using Dilated Convolutional Neural Networks with Self-Attention
  Emir Demirel, Sven Ahlback and Dixon Simon
  Paper

• Conditioning Autoencoder Latent Spaces for Real-Time Timbre Interpolation and Synthesis
  Joseph Colonel and Sam Keene
  Paper

• Reliable Local Explanations for Machine Listening
  Saumitra Mishra, Emmanouil Benetos, Bob L.T. Sturm and Simon Dixon
  Paper

• Deep Feature Embedding and Hierarchical Classification for Audio Scene Classification
  Lam Pham, Ian McLoughlin, Huy Phan, Ramaswamy Palaniappan and Afred Mertins
  Paper

(13 July 2020)