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Your query term was 'number = 97-28'1 report found
- ÖFAI-TR-97-28 (
59kB g-zipped PostScript file)On the Potential of Machine Learning for Music Research
- Gerhard Widmer
- This chapter argues that the branch of AI known as Machine Learning (ML)
can make useful contributions to music research, if employed in
a thoughtful way. After giving a brief introduction to machine learning
and discussing some general methodological questions,
the article presents an ongoing project by the author
as an example of a substantial and highly non-trivial application of
machine learning to a musical problem. The basic music-theoretic
assumptions of the project are discussed, the general method is
briefly described, and some exemplary results are presented
to give the reader an appreciation of the kinds of
benefits musicology may draw from such research.
Keywords: Machine Learning, Music Research, Musical Expression, Expressive Performance
- This chapter argues that the branch of AI known as Machine Learning (ML)
can make useful contributions to music research, if employed in
a thoughtful way. After giving a brief introduction to machine learning
and discussing some general methodological questions,
the article presents an ongoing project by the author
as an example of a substantial and highly non-trivial application of
machine learning to a musical problem. The basic music-theoretic
assumptions of the project are discussed, the general method is
briefly described, and some exemplary results are presented
to give the reader an appreciation of the kinds of
benefits musicology may draw from such research.