Chorale Harmonization in the Style of J.S. Bach, A Machine Learning Approach
author:
Menno M. van Zaanen,
Macquarie University
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| Slides | |
| 0:00 | Chorale Harmonization in the Style of J.S. Bach |
| 0:55 | Overview |
| 1:18 | Introduction |
| 2:48 | Previous Work |
| 3:24 | Harmonization as Classification |
| 3:58 | Class and Feature Encoding - 1 |
| 5:23 | Class and Feature Encoding - 2 |
| 5:48 | Local Features |
| 6:50 | Contextual Features |
| 8:23 | Global Features |
| 8:31 | Results - 1 |
| 10:05 | Results - 2 |
| 11:13 | Results - 3 |
| 11:50 | Conclusion |
| 12:54 | - Questions |
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why repeat that using the output of the learning algorithm from previous times leads to an accumulation of errors? obviously, one should not fix the previous results but rather optimize over the entire piece jointly! this is vacuous work, representing more or less the most naive possible method.