demo presentation
TRANSCRIPT
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
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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
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Implementation Approach Method 1
Amplification
Square wave
converter stage
Frequency locking stage
Interface with
arduino and printer
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Circuit diagram
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Requirements
Hardware uA 741LM567Arduino board
SoftwareVisual AnalyserArdunio IDE
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Implementation approachMethod 2
Block diagram8
Hardware requirements3x3 keypadArdunioLCD display8 ohm speakerPLL LM567 module
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Features of ArduinoMicrocontroller based on Atmega32814 digital input/output pins6 analog inputs16MHz ceramic resonatorUSB connectionPower jack ICSP headerReset button.
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Keypad Interface with Arduino
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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.
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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
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Thank you