Paper Title
Emotion Based Music Player
Article Identifiers
Authors
Soham Survase , Rushikesh Bawaskar , Preetish Agarwal , Prateek Koul , Professor S.P Mankar
Keywords
Keywords— Convolution neural network, Long Short term memory, Emotion detection, audio classification, hidden layers, Max-pooling.
Abstract
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.
Downloads
How To Cite (APA)
Soham Survase, Rushikesh Bawaskar, Preetish Agarwal , Prateek Koul, & Professor S.P Mankar (May-2023). Emotion Based Music Player. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 8(5), g102-g104. https://ijnrd.org/papers/IJNRD2305611.pdf
Issue
Volume 8 Issue 5, May-2023
Pages : g102-g104
Other Publication Details
Paper Reg. ID: IJNRD_196296
Published Paper Id: IJNRD2305611
Downloads: 000121986
Research Area: Information TechnologyÂ
Country: Pune, Maharashtra, India
Published Paper PDF: https://ijnrd.org/papers/IJNRD2305611.pdf
Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2305611
About Publisher
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 | IJNRD.ORG | IJNRD.COM | IJPUB.ORG
Licence
This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition


Publication Timeline
Article Preview: View Full Paper
Call For Paper
IJNRD is a Scholarly Open Access, Peer-reviewed, and Refereed Journal with a High Impact Factor of 8.76 (calculated by Google Scholar & Semantic Scholar | AI-Powered Research Tool). It is a Multidisciplinary, Monthly, Low-Cost Journal that follows UGC CARE 2025 Peer-Reviewed Journal Policy norms, Scopus journal standards, and Transparent Peer Review practices to ensure quality and credibility. IJNRD provides indexing in all major databases & metadata repositories, a citation generator, and Digital Object Identifier (DOI) for every published article with full open-access visibility.
The INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (IJNRD) aims to advance applied, theoretical, and experimental research across diverse fields. Its goal is to promote global scientific information exchange among researchers, developers, engineers, academicians, and practitioners. IJNRD serves as a platform where educators and professionals can share research evidence, models of best practice, and innovative ideas, contributing to academic growth and industry relevance.
Indexing Coverage includes Google Scholar, SSRN, ResearcherID-Publons, Semantic Scholar (AI-Powered Research Tool), Microsoft Academic, Academia.edu, arXiv.org, ResearchGate, CiteSeerX, ResearcherID (Thomson Reuters), Mendeley, DocStoc, ISSUU, Scribd, and many more recognized academic repositories.
How to submit the paper?
By Our website
Click Here to Submit Paper Online
Important Dates for Current issue
Paper Submission Open For: October 2025
Current Issue: Volume 10 | Issue 10 | October 2025
Impact Factor: 8.76
Last Date for Paper Submission: Till 31-Oct-2025
Notification of Review Result: Within 1-2 Days after Submitting paper.
Publication of Paper: Within 01-02 Days after Submititng documents.
Frequency: Monthly (12 issue Annually).
Journal Type: IJNRD is an International Peer-reviewed, Refereed, and Open Access Journal with Transparent Peer Review as per the new UGC CARE 2025 guidelines, offering low-cost multidisciplinary publication with Crossref DOI and global indexing.
Subject Category: Research Area
Call for Paper: More Details