Category Research

On 22-25 October, several AIM researchers will participate at the 2023 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, taking place at the Mohonk Mountain House in New Paltz, NY, 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 AI and Music Centre for Doctoral Training, as in previous years, will have a strong presence at WASPAA 2023.

In the Technical Programme, the following papers are authored by AIM 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
• General Purpose Audio Effect Removal (Matthew Rice, Christian J. Steinmetz, George Fazekas, Joshua D. Reiss) Postprint

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

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

See you at WASPAA!

Sequences in London is a 2-day workshop that aims to gather researchers working on different aspects of symbolic sequences, including string algorithms and data structures, computational biology, music information retrieval, and combinatorics on words, as well as application areas.

At the half-day for music information retrieval, AIM student Lele Liu gave a talk about her work on sequence modelling for audio-to-score music transcription. The talk briefly introduces her research in transcribing musical recordings into machine-readable scores by using deep sequential models. Feel free to find out more about her research here!

Two AIM PhD students have been given enrichment awards by the Alan Turing Institute, the UK’s national institute in artificial intelligence and data science, enabling them to join and interact with institute researchers and its community in the 2023/24 academic year.

Specifically, AIM PhD student Teresa Pelinski has been offered an Enrichment Placement Award for the project “Sensor mesh as performance interface” and AIM PhD student Shubhr Singh has been offered an Enrichment Placement Award for the project “Deep learning with graphs for multivariate time series data”.

Congratulations to both!