• Vrushabh Supe
• Vrushali Kshirsagar
• Aniket Kolekar
• Shivani Bandgar
• Pradeep Laturkar

Music has enabled artists to express their inner feelings to the world. It expresses complex emotions of human mind to us. To create a musical piece is an intricate task which by far was not possible using machines. Machine learning algorithms have been used to compose music comparable to music composed by artists. Such system is capable of generating music in various styles. The music can be styled to specific genre using tuning. The developed system will create polyphonic music. Polyphonic music is composed of more than one note playing a time. The model will be developed using multi-dimensional linear regression which is extension of linear regression. It is similar to simple linear regression but it has multiple independent variables contributing to dependent variables. The model will be trained using music having polyphony and the output will be generated as per instruments selected by user.

"Polyphonic music generation using machine learning algorithm", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 4, page no.232-234, April-2019, Available :http://www.jetir.org/papers/JETIR1904O36.pdf

"Polyphonic music generation using machine learning algorithm", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 4, page no. pp232-234, April-2019, Available at : http://www.jetir.org/papers/JETIR1904O36.pdf