The first cohort to enter the AIM programme presented their research directions in a poster session at the Digital Music Research Network (DMRN) 2019 workshop. The workshop is hosted at QMUL on an annual basis by the Centre for Digital Music, bringing together digital music researchers from across the world to discuss a diverse range of topics within sound and music computing.

Generating Emotionally Responsive Music using Artificial Intelligence – Berker Banar

Automatic music transcription with end-to-end deep neural networks – Lele Liu

Deep learning and multi-modal models for the music industry – Ilaria Manco

Real-Time Gesture Classification on an Augmented Acoustic Guitar using Deep Learning to Improve Extended-Range and Percussive Solo Playing – Andrea Martelloni

Polyphonic Music Transcription using Deep Learning – Mary Pilataki-Manika
New perspectives in instrument-based audio source separation – Saurjya Sarkar

Musical Smart City – Pedro Sarmento

Optical music recognition using deep learning – Elona Shatri

Perceptual end to end learning for music understanding – Cyrus Vahidi