Abstract
Semantic Audio and Music Information Retrieval (MIR) Research have led
to some spectacular successes in recent years. In this presentation I will
introduce performance expression as an important dimension of the
'semantics' of a piece of music;
discuss and demonstrate what it means to extract, quantify, characterise, and model this via machine;
review recent work on computational modelling of performance expression;
sketch possible application scenarios;
and identify pertinent research challenges for our field.
Generally, my aim is to promote a field of research that not all attendees of this conference may be so familiar with and that, I believe, is of real
importance when we speak of the 'semantics' of musical audio.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the 53rd AES Conference on Semantic Audio, Audio Engineering Society, London, Jan. 2014. |
| Number of pages | 2 |
| Publication status | Published - 2014 |
Fields of science
- 202002 Audiovisual media
- 102 Computer Sciences
- 102001 Artificial intelligence
- 102003 Image processing
- 102015 Information systems
JKU Focus areas
- Computation in Informatics and Mathematics
- Engineering and Natural Sciences (in general)