Melody Characterization by a Fuzzy Rule System
author:
David Rizo Valero,
University of Alicante
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| Slides | |
| 0:00 | Melody Characterization by a Fuzzy Rule System |
| 0:12 | Introduction |
| 0:14 | What’s a melody? |
| 0:47 | Motivation |
| 1:01 | Related previous works |
| 2:10 | Methodology |
| 2:11 | Metholodogy overview |
| 2:49 | 1st step: track description |
| 3:34 | 2nd step: crisp rule induction |
| 4:02 | 3rd step: from crisp rules to fuzzy rules |
| 4:44 | 3.1 Descriptor fuzzification (1) |
| 5:16 | 3.1 Descriptor fuzzification (2) |
| 5:57 | 3.2 Fuzzy set parameter optimization: encoding (1) |
| 6:32 | 3.2 Fuzzy set parameter optimization: encoding (2) |
| 6:43 | 3.2 GA fitness function |
| 7:08 | 3.2 Fuzzy set parameter optimization: encoding (1) |
| 7:13 | 3.2 GA fitness function |
| 7:42 | 3.3 Crisp Rule fuzzification |
| 9:21 | Experiments and results |
| 9:25 | Corpora |
| 10:00 | Experimental setup |
| 10:46 | FIS optimization parameters |
| 11:10 | Results |
| 11:57 | Melody description example (I) |
| 13:49 | Melody description example (II) |
| 13:59 | Conclusions (1) |
| 14:02 | Conclusions (2) |
| 15:30 | - Questions |
| 15:53 | - Questions |
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