Training of Artifical Intelligence for Detection of Scales of Musical Instruments
W. Porselvi1, Sumathi Arjunan2, M. M. Shanmuga Priya3
1W. Porselvi, Assistant Professor, Department of Science and Humanities, Bharath Institution of Higher Education and Research, (Tamil Nadu), India.
2Sumathi Arjunan, Assistant Professor, Department of Science and Humanities, Bharath Institution of Higher Education and Research, (Tamil Nadu), India.
3M. M. Shanmuga Priya, Assistant Professor, Department of Science and Humanities, Bharath Institution of Higher Education and Research, (Tamil Nadu), India.
Manuscript received on 08 November 2019 | Revised Manuscript received on 16 December 2019 | Manuscript Published on 31 December 2019 | PP: 425-427 | Volume-9 Issue-2S4 December 2019 | Retrieval Number: B11821292S419/2019©BEIESP | DOI: 10.35940/ijitee.B1182.1292S419
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open-access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Learning to play a musical instrument is rewarding in many ways. Through music kids and adults can learn discipline, express creativity and find a healthy way to manage stress. For people who stick to it and get good at it, music might even become a career. But even among those who play just for fun there are very few who regret bringing music into their lives. Every wannabe musician has to start somewhere, and that somewhere isn’t always so easy to figure out. There are so many different instruments out there, each with a strong set of pros and cons.
Keywords: Fixed-length Music, Softmax, young’s Modulus.
Scope of the Article: Artificial Intelligence