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
