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School of Electronic Engineering and Computer Science

Professor Simon Dixon, AMusA LMusA BSc(Hons) PhD


Professor of Computer Science

Telephone: +44 20 7882 7681
Room Number: Engineering, Eng 406
Office Hours: Tuesday 16:00-17:00, Wednesday 15:00-16:00


Music Informatics (Postgraduate/Undergraduate)

This module introduces students to state-of-the-art methods for the analysis of music data, with a focus on music audio. It presents in-depth studies of general approaches to the low-level analysis of audio signals, and follows these with specialised methods for the high-level analysis of music signals, including the extraction of information related to the rhythm, melody, harmony, form and instrumentation of recorded music. This is followed by an examination of the most important methods of extracting high-level musical content, sound source separation, and on analysing multimodal music data.


Research Interests:

My research interests are in the fields of music informatics (music information retrieval), computer music, music signal processing, digital audio, artificial intelligence and cognitive science. In recent years I have been working on various problems related to extracting musical content from audio signals, with a focus on rhythm and harmony. For example, I have worked on beat tracking, audio alignment, chord and note transcription, classification and performance visualisation.


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