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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREMWP6022

Musically Yours - Implementation of Music Playlist using Machine Learning and Music Therapy

Stream/Area:

-

Subject:

-

Paper ID:

IJSREMWP6022

Volume:

6 |

5 |

May 2022

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
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Not assigned

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

K

Keerthana.K.M

S

Sanjana.V

A

Aishwarya.S

AN

Aishwarya.B Nagesh

VM

Vallabh Mahale

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Abstract

The disciplines of music therapy and music technology are relatively recent, having emerged late in the 20th century. Because of this, combining the therapy with the technology is still considered novel. Recently, as patients are able to gain access to a wide range of complementary therapies, also as computers have reached a stage where real-time audio-visual interaction is possible, projects that address therapeutic issues with multiple media technology have started to emerge. Music is known to have positive effects on human beings, where it enhances learning and aids the healing process. This paper presents how one can manage their stress levels by using music therapy. Mental stress is caused due to various reasons, which spreads across different age groups as well. To overcome the efforts spent on searching music relatable to their mindset, we decided to come up with an application which custom designs a music playlist for the people. It will be focused on one’s present emotion and made sure that he/she feels after listening to the music recommended by our application.

KEYWORDS

Music therapy Chatbot Natural Language Processing Machine Learning Neural Networks.

Cite This Article

Keerthana.K.M, Sanjana.V, Aishwarya.S, Aishwarya.B Nagesh, Vallabh Mahale, "Musically Yours - Implementation of Music Playlist using Machine Learning and Music Therapy," International Journal of Scientific Research in Engineering and Management, vol. 6, no. 5, May 2022.

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Publication Date

5/30/2022

Peer Review Type

Double-Blind Peer Review

Review Rounds: 2

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The authors declare no conflict of interest related to this research work.

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