K.L.E Society’s

K L E INSTITUTE OF TECHNOLOGYDepartment of Electronics and Communication Engineering

Project demo on

Musical Note Detection in Hindustani and Carnatic Music

by

Sunil Shivanagi

Varsha V Dalavi

G Vedavati

Vivekanand Uske

Under the Guidance of

Prof. Ganesh K.1

Introduction

Music Information Retrieval (MIR) deals with study of musical repertoires and concepts using computational methodologies. Given that much of music and the related industry and products are going online, the field of MIR has begun to gain significant importance.

The task of musical note detection, one of the fundamental tasks in both Hindustani and Carnatic genres of Indian classical music.

Here we are dealing with method in which we are giving musical input though the prototype of harmonium

2

3

Objective

The main aspiration is to detect the musical notes in Hindustani and Carnatic music.

To lock the different frequencies using the PLL’s, this can be used to detect the musical notes.

The detection of musical notes will take more time for the beginners.

BLOCK DIAGRAM

4

Implementation Approach Method 1

Amplification

Square wave

converter stage

Frequency locking stage

Interface with

arduino and printer

5

Circuit diagram

6

Requirements

Hardware uA 741LM567Arduino board

SoftwareVisual AnalyserArdunio IDE

7

Implementation approachMethod 2

Block diagram8

Hardware requirements3x3 keypadArdunioLCD display8 ohm speakerPLL LM567 module

9

Features of ArduinoMicrocontroller based on Atmega32814 digital input/output pins6 analog inputs16MHz ceramic resonatorUSB connectionPower jack ICSP headerReset button.

10

Keypad Interface with Arduino

11

12

LCD Interface with Arduino

ConclusionFuture scope1. This can be further implemented for different

frequencies for detection of raga.2. Based on the pitch extraction, we can use this for

different users with different vocals.

Advantages1. Ease of extracting the musical note.2. Helps beginners in self-assessment of Indian classical

music.

13

14

1. Ashwin Bellur, Vignesh Ishwar, Xavier Serra and Hema A Murthy, A knowledge

based signal processing approach to tonic identication in Indian classical music,

2nd CompMusic Workshop, 113-116 (2013).

2. Vidya shankar, The Art and science of carnatic music, page 1, the music Academy

Madras 1983.

3. Khramov, Mykhaylo (December 2011). "On Amount of Notes in Octave". Ninaad,

Journal of the ITC-SRA (Kolkata, India) 25: 31–37. ISSN 0973-3787.

4. S. A. Khan, The twenty engineering projects.

5. Deng, J. D., C. Simmermacher, and S. Cranefield (2008). A study on feature

analysis for musical instrument classification. Cybernetics, IEEE Transactions,

429–438.

References

15

Thank you