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AERFAI Summer School on Deep Learning

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Alicante July 5-6, 2017

10th international workshop on Machine Learning and Music

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Barcelona: 16th October 2017

Study of automatic chord estimation systems in digital music



Pablo González Carrizo

2017-07-13

Sound and Image Engineering in Telecommunication

Polytechnic School. University of Alicante.

In this project, we will focus on one concrete area of the music transcription: automatic chord estimation (ACE). We will analyze the main subsystems inside an automatic chord estimation system, and how, modifying theirs parameters, changes the result of the estimation. The analyzed subsystems have been divided in some categories depending on the part of the system where they are executed: signal adaptation, feature extraction, prefiltering, classification and postfiltering. We have analyzed the effect on the system of harmonic- percussive separation, signal filtering or beat synchronization. However, as we have seen, the more important parts of the system were the training dataset and the classifier used. We have used two different kind of training datasets. One of them comes from ideal theoretical models. The other one, comes from real samples taken from musical instruments. Three dif


LINKS:

Technical report (in spanish)
Source code


DEGREE PROJECTS
A number of degree students are doing their academic works in our group in diferent tasks related to pattern recognition and artificial intelligence research and development. You can follow this link to know more about some of those projects.

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