Smart Carnatic Music Note Identification (CMNI) System using Probabilistic Neural Network

Ramya S

doi:10.1109/ICSSIT46314.2019.8987960

Smart Carnatic Music Note Identification (CMNI) System using Probabilistic Neural Network

Ramya S^*

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

Music is defined as an art which arranges the sounds to provide the inner feeling of happiness. Carnatic music is based on a Raga (Tune), Bhava (Emotion), Thala (Rhythm) and also characterized by Saptha swara (musical note), Sthayi and reference note (Shruthi). In this proposed work, an attempt is made to identify the swaras in Madhya Sthayi and constant Shruthi. The recorded music samples are analyzed in the frequency domain by using digital signal processing. The features are extracted and input to the probabilistic neural-network for the note identification. The performance of the system is verified for 25 samples for each note. The system success rate is above 90%.

Original language	English
Title of host publication	Proceedings of the 2nd International Conference on Smart Systems and Inventive Technology, ICSSIT 2019
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	910-914
Number of pages	5
ISBN (Electronic)	9781728121192
DOIs	https://doi.org/10.1109/ICSSIT46314.2019.8987960
Publication status	Published - 11-2019
Event	2nd International Conference on Smart Systems and Inventive Technology, ICSSIT 2019 - Tirunelveli, India Duration: 27-11-2019 → 29-11-2019

Publication series

Name	Proceedings of the 2nd International Conference on Smart Systems and Inventive Technology, ICSSIT 2019

Conference

Conference	2nd International Conference on Smart Systems and Inventive Technology, ICSSIT 2019
Country/Territory	India
City	Tirunelveli
Period	27-11-19 → 29-11-19

All Science Journal Classification (ASJC) codes

Artificial Intelligence
Computer Science Applications

Access to Document

10.1109/ICSSIT46314.2019.8987960

Cite this

S, R. (2019). Smart Carnatic Music Note Identification (CMNI) System using Probabilistic Neural Network. In Proceedings of the 2nd International Conference on Smart Systems and Inventive Technology, ICSSIT 2019 (pp. 910-914). Article 8987960 (Proceedings of the 2nd International Conference on Smart Systems and Inventive Technology, ICSSIT 2019). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICSSIT46314.2019.8987960

S, Ramya. / Smart Carnatic Music Note Identification (CMNI) System using Probabilistic Neural Network. Proceedings of the 2nd International Conference on Smart Systems and Inventive Technology, ICSSIT 2019. Institute of Electrical and Electronics Engineers Inc., 2019. pp. 910-914 (Proceedings of the 2nd International Conference on Smart Systems and Inventive Technology, ICSSIT 2019).

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title = "Smart Carnatic Music Note Identification (CMNI) System using Probabilistic Neural Network",

abstract = "Music is defined as an art which arranges the sounds to provide the inner feeling of happiness. Carnatic music is based on a Raga (Tune), Bhava (Emotion), Thala (Rhythm) and also characterized by Saptha swara (musical note), Sthayi and reference note (Shruthi). In this proposed work, an attempt is made to identify the swaras in Madhya Sthayi and constant Shruthi. The recorded music samples are analyzed in the frequency domain by using digital signal processing. The features are extracted and input to the probabilistic neural-network for the note identification. The performance of the system is verified for 25 samples for each note. The system success rate is above 90\%.",

author = "Ramya S",

year = "2019",

month = nov,

doi = "10.1109/ICSSIT46314.2019.8987960",

language = "English",

series = "Proceedings of the 2nd International Conference on Smart Systems and Inventive Technology, ICSSIT 2019",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "910--914",

booktitle = "Proceedings of the 2nd International Conference on Smart Systems and Inventive Technology, ICSSIT 2019",

address = "United States",

note = "2nd International Conference on Smart Systems and Inventive Technology, ICSSIT 2019 ; Conference date: 27-11-2019 Through 29-11-2019",

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S, R 2019, Smart Carnatic Music Note Identification (CMNI) System using Probabilistic Neural Network. in Proceedings of the 2nd International Conference on Smart Systems and Inventive Technology, ICSSIT 2019., 8987960, Proceedings of the 2nd International Conference on Smart Systems and Inventive Technology, ICSSIT 2019, Institute of Electrical and Electronics Engineers Inc., pp. 910-914, 2nd International Conference on Smart Systems and Inventive Technology, ICSSIT 2019, Tirunelveli, India, 27-11-19. https://doi.org/10.1109/ICSSIT46314.2019.8987960

Smart Carnatic Music Note Identification (CMNI) System using Probabilistic Neural Network. / S, Ramya.
Proceedings of the 2nd International Conference on Smart Systems and Inventive Technology, ICSSIT 2019. Institute of Electrical and Electronics Engineers Inc., 2019. p. 910-914 8987960 (Proceedings of the 2nd International Conference on Smart Systems and Inventive Technology, ICSSIT 2019).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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T1 - Smart Carnatic Music Note Identification (CMNI) System using Probabilistic Neural Network

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N2 - Music is defined as an art which arranges the sounds to provide the inner feeling of happiness. Carnatic music is based on a Raga (Tune), Bhava (Emotion), Thala (Rhythm) and also characterized by Saptha swara (musical note), Sthayi and reference note (Shruthi). In this proposed work, an attempt is made to identify the swaras in Madhya Sthayi and constant Shruthi. The recorded music samples are analyzed in the frequency domain by using digital signal processing. The features are extracted and input to the probabilistic neural-network for the note identification. The performance of the system is verified for 25 samples for each note. The system success rate is above 90%.

AB - Music is defined as an art which arranges the sounds to provide the inner feeling of happiness. Carnatic music is based on a Raga (Tune), Bhava (Emotion), Thala (Rhythm) and also characterized by Saptha swara (musical note), Sthayi and reference note (Shruthi). In this proposed work, an attempt is made to identify the swaras in Madhya Sthayi and constant Shruthi. The recorded music samples are analyzed in the frequency domain by using digital signal processing. The features are extracted and input to the probabilistic neural-network for the note identification. The performance of the system is verified for 25 samples for each note. The system success rate is above 90%.

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BT - Proceedings of the 2nd International Conference on Smart Systems and Inventive Technology, ICSSIT 2019

PB - Institute of Electrical and Electronics Engineers Inc.

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S R. Smart Carnatic Music Note Identification (CMNI) System using Probabilistic Neural Network. In Proceedings of the 2nd International Conference on Smart Systems and Inventive Technology, ICSSIT 2019. Institute of Electrical and Electronics Engineers Inc. 2019. p. 910-914. 8987960. (Proceedings of the 2nd International Conference on Smart Systems and Inventive Technology, ICSSIT 2019). doi: 10.1109/ICSSIT46314.2019.8987960

Smart Carnatic Music Note Identification (CMNI) System using Probabilistic Neural Network

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