TY - GEN
T1 - Smart Carnatic Music Note Identification (CMNI) System using Probabilistic Neural Network
AU - S, Ramya
PY - 2019/11
Y1 - 2019/11
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%.
UR - http://www.scopus.com/inward/record.url?scp=85080058617&partnerID=8YFLogxK
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U2 - 10.1109/ICSSIT46314.2019.8987960
DO - 10.1109/ICSSIT46314.2019.8987960
M3 - Conference contribution
T3 - Proceedings of the 2nd International Conference on Smart Systems and Inventive Technology, ICSSIT 2019
SP - 910
EP - 914
BT - Proceedings of the 2nd International Conference on Smart Systems and Inventive Technology, ICSSIT 2019
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2nd International Conference on Smart Systems and Inventive Technology, ICSSIT 2019
Y2 - 27 November 2019 through 29 November 2019
ER -