Automatic Music Note Transcription System using Artificial Neural Networks

Ramya, S N and Padmashree, T K (2016) Automatic Music Note Transcription System using Artificial Neural Networks. In: International Conference on Advances in Engineering & Technology Researc, 01/08/2014, Dr. Virendra Swarup Group of Institutions, Unnao,.

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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

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: Audio signal Processing;Autocorrelation; Carnatic music;Probalistic Neural Network; Pitch; Swara; Shruthi
Subjects: Engineering > MIT Manipal > Electronics and Communication
Depositing User: MIT Library
Date Deposited: 13 Jan 2017 14:10
Last Modified: 13 Jan 2017 14:10
URI: http://eprints.manipal.edu/id/eprint/148079

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