no code implementations • 23 Dec 2022 • Clemens Fricke, Daniel Wolff, Marco Kemmerling, Stefanie Elgeti
RL is based on trial-and-error interactions of an agent with an environment.
no code implementations • 11 May 2022 • Simon Colton, Maria Teresa Llano, Rose Hepworth, John Charnley, Catherine V. Gale, Archie Baron, Francois Pachet, Pierre Roy, Pablo Gervas, Nick Collins, Bob Sturm, Tillman Weyde, Daniel Wolff, James Robert Lloyd
During 2015 and early 2016, the cultural application of Computational Creativity research and practice took a big leap forward, with a project where multiple computational systems were used to provide advice and material for a new musical theatre production.
no code implementations • 19 Apr 2022 • Ruchit Agrawal, Daniel Wolff, Simon Dixon
Our method is also robust to structural differences between the performance and score sequences, which is a common limitation of standard alignment approaches.
no code implementations • 11 Feb 2022 • Daniel Wolff, Rémi Mignot, Axel Roebel
The ability of our models to capture variance is explored in a detector for artefacts from decompression of corrupted MP3 compressed audio.
no code implementations • 31 Jan 2021 • Ruchit Agrawal, Daniel Wolff, Simon Dixon
The identification of structural differences between a music performance and the score is a challenging yet integral step of audio-to-score alignment, an important subtask of music information retrieval.