Hidden Markov Model based recognition of musical pattern in South Indian Classical Music

By M.S. Sinith & K. Rajeev

Abstract:

Automatic recognition of musical patterns plays a
crucial part in Musicological and Ethno musicological research
and can become an indispensable tool for the search and
comparison of music extracts within a large multimedia database.
This paper finds an efficient method for recognizing isolated
musical patterns in a monophonic environment, using Hidden
Markov Model. Each pattern, to be recognized, is converted
into a sequence of frequency jumps by means of a fundamental
frequency tracking algorithm, followed by a quantizer. The
resulting sequence of frequency jumps is presented to the input
of the recognizer which use Hidden Markov Model. The main
characteristic of Hidden Markov Model is that it utilizes the
stochastic information from the musical frame to recognize the
pattern. The methodology is tested in the context of South Indian
Classical Music, which exhibits certain characteristics that make
the classification task harder, when compared with Western
musical tradition. Recognition of 100% has been obtained for the
six typical music pattern used in practise. South Indian classical
instrument, flute is used for the whole experiment.

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When I downloaded the paper, I thought it was yet another document on Musical Pattern recognition - but the paper proved to be valuable!!

Good work!

thank you! I have just started with speech recognition using HMM and I think it is quite difficult for me to understand