Difference between revisions of "Cohen Courses:Learning Indian Classical Using Sequential Models"
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Indian Classical music is a very structured when it comes to melody. A composition is (generally) within a constraints of a [http://en.wikipedia.org/wiki/Raga raag]. It has a specific grammar, which lends the emotions to the composition. This aspect of music lends an interesting application of sequential models for note prediction, and raga classification. | Indian Classical music is a very structured when it comes to melody. A composition is (generally) within a constraints of a [http://en.wikipedia.org/wiki/Raga raag]. It has a specific grammar, which lends the emotions to the composition. This aspect of music lends an interesting application of sequential models for note prediction, and raga classification. | ||
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| + | == Problem Statement == | ||
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| + | === Pakad === | ||
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| + | Pakad is a string of notes characteristic to a Raga to which a musician frequently returns while improvising in a performance. A pakad has the potential to illustrate the grammar and aesthetics of a raga. For example consider raga [http://en.wikipedia.org/wiki/Bhimpalasi Bhimpalasi]. The pakad is | ||
= Previous Work = | = Previous Work = | ||
Revision as of 23:28, 6 October 2011
Contents
Team Members
Project Idea
Indian Classical music is a very structured when it comes to melody. A composition is (generally) within a constraints of a raag. It has a specific grammar, which lends the emotions to the composition. This aspect of music lends an interesting application of sequential models for note prediction, and raga classification.
Problem Statement
Pakad
Pakad is a string of notes characteristic to a Raga to which a musician frequently returns while improvising in a performance. A pakad has the potential to illustrate the grammar and aesthetics of a raga. For example consider raga Bhimpalasi. The pakad is
Previous Work
Hidden Markov Models have been used for raga classification. The first step is to transcribe the music. This is either done by playing a midi keyboard, or if a performance is used, using frequency identification techniques. Such techniques are specified in [2].
Dataset
There are midi files available at http://www.cse.iitk.ac.in/users/tvp/music/.
References
1. http://www.slideshare.net/butest/music-and-machine-learning
