MLLab at WASPAA 2023

On 22-25 October, several MLLab researchers will participate at the 2023 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, taking place in New Paltz, USA. WASPAA is a premier event in the field of audio signal processing, organised by the IEEE’s Audio and Acoustic Signal Processing (AASP) technical committee, with a strong focus on music signal processing and computational sound scene analysis.

The Machine Listening Lab of QMUL, as in previous years, will have a strong presence at WASPAA 2023.

In the Technical Programme, the following papers are authored/coauthored by MLLab members:

• Perceptual Musical Similarity Metric Learning with Graph Neural Networks (Cyrus Vahidi, Shubhr Singh, George Fazekas, Emmanouil Benetos, Dan Stowell, Huy Phan, Mathieu Lagrange) Postprint
• Leveraging synthetic data for improving chamber ensemble separation (Saurjya Sarkar, Louise Thorpe, Emmanouil Benetos, Mark B Sandler) Postprint

In the Demo Session, the following demos will be presented by C4DM members:

• Music Ensemble Separation using Permutation Invariant Training (Saurjya Sarkar, Emmanouil Benetos, Mark B Sandler)

See you at WASPAA!