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ben-hayes/README.md

I am a PhD student in Artificial Intelligence and Music at Queen Mary University of London’s Centre for Digital Music. My research focuses on signal-processing based deep learning techniques for audio synthesis. I am jointly supervised by Dr Charalampos Saitis and Dr György Fazekas, and am very grateful to be the recipient of UKRI funding.

Previously, I was Music Lead at the award-winning AI music startup Jukedeck, and was a research intern at Sony Computer Science Laboratories, and with ByteDance’s Speech, Audio & Music Intelligence (SAMI) team. I also make music and taught undergraduate Electronic and Produced music at the Guildhall School of Music and Drama.

I am particularly open to collaborations with musicians and artists looking to apply artificial intelligence to their work, and engineers interested in building new musical tools, and researchers working on related topics.

You can contact me at b.j.hayes (at) qmul.ac.uk

Pinned

  1. sinusoidal-gradient-descent sinusoidal-gradient-descent Public

    Experiments from the paper "Sinusoidal Frequency Estimation by Gradient Descent"

    Jupyter Notebook 55 3

  2. neural-waveshaping-synthesis neural-waveshaping-synthesis Public

    efficient neural audio synthesis in the waveform domain

    Python 180 15