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Reseach Article

Automatic Music Note Transcription System using Artificial Neural Networks

Published on February 2013 by Ramya S., T. K. Padmashree
International Conference on Electronic Design and Signal Processing
Foundation of Computer Science USA
ICEDSP - Number 4
February 2013
Authors: Ramya S., T. K. Padmashree
9cfe91e8-f4ca-45af-8f1e-badf3e56c92a

Ramya S., T. K. Padmashree . Automatic Music Note Transcription System using Artificial Neural Networks. International Conference on Electronic Design and Signal Processing. ICEDSP, 4 (February 2013), 11-15.

@article{
author = { Ramya S., T. K. Padmashree },
title = { Automatic Music Note Transcription System using Artificial Neural Networks },
journal = { International Conference on Electronic Design and Signal Processing },
issue_date = { February 2013 },
volume = { ICEDSP },
number = { 4 },
month = { February },
year = { 2013 },
issn = 0975-8887,
pages = { 11-15 },
numpages = 5,
url = { /specialissues/icedsp/number4/10370-1029/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Special Issue Article
%1 International Conference on Electronic Design and Signal Processing
%A Ramya S.
%A T. K. Padmashree
%T Automatic Music Note Transcription System using Artificial Neural Networks
%J International Conference on Electronic Design and Signal Processing
%@ 0975-8887
%V ICEDSP
%N 4
%P 11-15
%D 2013
%I International Journal of Computer Applications
Abstract

In this work, we propose a method to identify and transcript the note of a Carnatic music signal. The main motive behind note transcription is that, it can be used as a good basis for music note information retrieval of Carnatic music songs or Film songs based on Carnatic music. The input monophonic music signal is analysed and made to pass through a signal frequency extracting algorithm. The frequency components of the signal are then mapped into the swara sequence, which could be used to determine the Raga of the particular song and can be used in Carnatic music training institutes to verify the correctness of the Carnatic music note.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Audio Signal Processing autocorrelation Carnatic Music probalistic Neural Network Pitch Swara Shruthi