Emotion Based Music Player

Emotion Based Music Player

Registration ID: IJNRD_196296

Published ID: IJNRD2305611

DOI: Click Here to Get

Soham Survase , Rushikesh Bawaskar , Preetish Agarwal , Prateek Koul , Professor S.P Mankar

Keywords— Convolution neural network, Long Short term memory, Emotion detection, audio classification, hidden layers, Max-pooling.

ABSTRACT The activities of the human brain are impacted by listening to music. An emotion-based music player equipped with an automated playlist can assist users in maintaining a particular emotional state. This study puts forward an emotion-based music player that generates playlists based on photographs taken of the user. Sorting a playlist manually and annotating songs based on the current emotion can be time-consuming and tedious. Several algorithms have been developed to automate this process, but they are slow, increase the system's cost by requiring additional hardware, and have low accuracy. This paper proposes an algorithm that not only automates the audio playlist generation process but also classifies newly added songs. The primary task is to determine the current mood of the individual and play music accordingly making the system more efficient, fast, and automatic. The ultimate objective is to reduce the overall computational time and cost of the system while improving its accuracy. The primary aim is to improve an individual's mood if it is negative, such as feeling sad or depressed. This model is validated by evaluating the system against both user-dependent and user-independent datasets.

Published Paper   E-Certificate

"Emotion Based Music Player", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.8, Issue 5, page no.g102-g104, May-2023, Available :https://ijnrd.org/papers/IJNRD2305611.pdf

Volume 8 Issue 5, May-2023

Pages : g102-g104

Paper Reg. ID: IJNRD_196296

Published Paper Id: IJNRD2305611

Downloads: 000121174

Research Area: Information Technology 

Country: Pune, Maharashtra, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2305611.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2305611

Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJNRD (IJ Publication) Janvi Wave

This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition

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