Note new venue for lectures.
The course lecturer is Alan Smaill.
Lectures are Monday and Thursday at 5:10 pm.
We meet in soom 3.01, 21 Buccleuch Place.
The course covers the principal theories, techniques and algorithms
developed recently to give computational accounts of how musical
phenomena can be analysed, generated and mediated with machine support
or collaboration. The emphasis is on concepts, rather than tools, but
the ideas have wide applicability. The state of the art is presented
in selected areas.
The course lecturer is Alan Smaill
- Lecture 1 (overview; representation issues), Jan 16th:
- Lecture 2 (representation & music examples), Jan 19th:
- Lecture 3 (representation ctd; metrical analysis), Jan 23rd:
- Lecture 4 (tonal harmony recognition), Jan 26th: -
- Lecture 5 (beat tracking), Jan 30th:
- Lecture 6 (score following), Feb 2nd
- Lecture 7 (simple grammars, GTTM), Feb 6th:
- Lecture 8 (declarative representation, grouping rules), Feb
- Lecture 9 (Components of GTTM, ambiguity), Feb 13th:
- Lecture 10 (rule-based systems for counterpoint & harmonisation),
Feb 16th: PDF
There is a formative (unassessed but with feedback) coursework in first
half of the course, and an assessed coursework due towards the end.
Last modified: Mon Jan 16 15:32:41 GMT 2017
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