Sign in

username:

password:



Not a member?

Search documents



Search tips

Documents by category

Ads

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

In this section, our goal is to keep a comprehensive and organised list of DSP related documents (papers, theses, etc) available for free on the web. Most of the documents are available in pdf format, so you'll need a pdf reader to view them. Add a document to the list.

To narrow the list, you can filter the documents by 'type':
All Types | Master Theses | Others | Papers/Articles | PhD Theses 

Page of Sorted by

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.

Download Document Download Document
(This item is protected by original copyright)

Rate this document:
5
Rating: 5 | Votes: 1


Comments


 

Aravindha Chellappa wrote: [ delete comment ]

6/27/2008
 
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!

Add a Comment
You need to login before you can post a comment (best way to prevent spam). ( Not a member? )