Simon Dixon is affiliated with Queen Mary University of London in the United Kingdom. Their research focuses primarily within the field of Computer Science, with significant contributions to subfields including Signal Processing, Computer Vision and Pattern Recognition, Music, Artificial Intelligence, and Cognitive Neuroscience.
Their work covers a range of topics related to music and audio processing, music technology and sound studies, diverse musicological studies, speech recognition and synthesis, natural language processing techniques, speech and audio processing, and neuroscience and music perception.
Simon Dixon has published extensively in several venues, notably:
Their recent papers include:
Simon Dixon frequently collaborates with other researchers in the field. Their notable coauthors include:
Their publications indicate a sustained focus on music and audio-oriented computation methods, especially those involving automatic transcription, performance expression modeling, structure-aware synchronization, and semantic modeling in musical contexts.
Simon Dixon
Daniel Stoller;Sebastian Ewert;Simon Dixon
Matthias Mauch;Simon Dixon
Emmanouil Benetos;Simon Dixon;Dimitrios Giannoulis;Holger Kirchhoff
Siddharth Sigtia;Emmanouil Benetos;Simon Dixon
F. Gouyon;A. Klapuri;S. Dixon;M. Alonso
Emmanouil Benetos;Simon Dixon;Zhiyao Duan;Sebastian Ewert
Fabien Gouyon;Simon Dixon
Simon Dixon
Matthias Mauch;Simon Dixon
Yading Song;Simon Dixon;Marcus Pearce
Simon Dixon;Gerhard Widmer
Elias Pampalk;Simon Dixon;Gerhard Widmer;Gerhard Widmer
Simon Dixon;Elias Pampalk;Gerhard Widmer
M Mauch;S Dixon
Simon Dixon;Fabien Gouyon;Gerhard Widmer
Gerhard Widmer;Simon Dixon;Werner Goebl;Elias Pampalk
M Mauch;C Cannam;R Bittner;G Fazekas
Simon Dixon;Elias Pampalk;Gerhard Widmer
Simon Dixon
Siddharth Sigtia;Simon Dixon
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