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

S. Ramya

Research output: Chapter in Book/Report/Conference proceedingConference 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 languageEnglish
Title of host publicationProceedings of the 2nd International Conference on Smart Systems and Inventive Technology, ICSSIT 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages910-914
Number of pages5
ISBN (Electronic)9781728121192
DOIs
Publication statusPublished - 11-2019
Externally publishedYes
Event2nd International Conference on Smart Systems and Inventive Technology, ICSSIT 2019 - Tirunelveli, India
Duration: 27-11-201929-11-2019

Publication series

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

Conference

Conference2nd International Conference on Smart Systems and Inventive Technology, ICSSIT 2019
CountryIndia
CityTirunelveli
Period27-11-1929-11-19

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Computer Science Applications

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  • Cite this

    Ramya, S. (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). [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