event thumbnail image
Workshops

Melody Characterization by a Fuzzy Rule System

author: David Rizo Valero, University of Alicante
You might be experiencing some problems with Your Video player.
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

Lecture rating

People found this lecture:
Worth seeing
because it is:
 Valuable and informative
Well presented
Easily understandable
Acceptably recorded
You need to login to cast your vote.

Report a problem or upload files

If you have found a problem with this lecture or would like to send us extra material, articles, exercises, etc., please use our ticket system to describe your request and upload the data.
Enter your e-mail into the 'Cc' field, and we will keep you updated with your request's status.

Link this page

Would you like to put a link to this lecture on your homepage?
Go ahead! Copy the HTML snippet !

Write your own review or comment:

make sure you have javascript enabled or clear this field: