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A.S. Mali1 , A.A. Kenjale2 , P.M. Ghatage3 , A.G. Deshpande4
Section:Research Paper, Product Type: Isroset-Journal
Vol.6 ,
Issue.3 , pp.27-30, Jun-2018
CrossRef-DOI: https://doi.org/10.26438/ijsrcse/v6i3.2730
Online published on Jun 30, 2018
Copyright © A.S. Mali, A.A. Kenjale, P.M. Ghatage, A.G. Deshpande . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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IEEE Style Citation: A.S. Mali, A.A. Kenjale, P.M. Ghatage, A.G. Deshpande, “Mood based Music System,” International Journal of Scientific Research in Computer Science and Engineering, Vol.6, Issue.3, pp.27-30, 2018.
MLA Style Citation: A.S. Mali, A.A. Kenjale, P.M. Ghatage, A.G. Deshpande "Mood based Music System." International Journal of Scientific Research in Computer Science and Engineering 6.3 (2018): 27-30.
APA Style Citation: A.S. Mali, A.A. Kenjale, P.M. Ghatage, A.G. Deshpande, (2018). Mood based Music System. International Journal of Scientific Research in Computer Science and Engineering, 6(3), 27-30.
BibTex Style Citation:
@article{Mali_2018,
author = {A.S. Mali, A.A. Kenjale, P.M. Ghatage, A.G. Deshpande},
title = {Mood based Music System},
journal = {International Journal of Scientific Research in Computer Science and Engineering},
issue_date = {6 2018},
volume = {6},
Issue = {3},
month = {6},
year = {2018},
issn = {2347-2693},
pages = {27-30},
url = {https://www.isroset.org/journal/IJSRCSE/full_paper_view.php?paper_id=644},
doi = {https://doi.org/10.26438/ijcse/v6i3.2730}
publisher = {IJCSE, Indore, INDIA},
}
RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v6i3.2730}
UR - https://www.isroset.org/journal/IJSRCSE/full_paper_view.php?paper_id=644
TI - Mood based Music System
T2 - International Journal of Scientific Research in Computer Science and Engineering
AU - A.S. Mali, A.A. Kenjale, P.M. Ghatage, A.G. Deshpande
PY - 2018
DA - 2018/06/30
PB - IJCSE, Indore, INDIA
SP - 27-30
IS - 3
VL - 6
SN - 2347-2693
ER -
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Abstract :
Music is a significant element of life. People take its help to evoke their emotions and prefer listening to songs according to their mood. It takes a lot of efforts to find appropriate music from the list for the particular emotional state. Music players in today’s world are not giving priority to the emotional state of a person. The aim of this paper is to develop music system which considers human emotions into account. The emotional state can be interpreted from facial expressions through the webcam. We have utilized the CNN classifier to build a neural network model. This model is trained and subjected to detect mood from facial expressions using OpenCV. Songs belonging to particular sentiments are classified on the basis of tempo feature in beats per minute. A system generates music playlist based on that detected mood. Our music player will play that generated music playlist to improves user’s mood.
Key-Words / Index Term :
Machine learning, Image processing, PyQt5, OpenCV, Convolutional Neural Network (CNN), Haar Cascade, Pygame
References :
[1] V. Patchava, P. Jain,R. Lomte, P. Shakthi, H. B. Kandala, “Sentiment Based Music Play System ”
[2] P. Pathak, Prof. S. Aranjo, “Mood based Music Player Karan Mistry”.
[3] Viola, P., & Jones, M. J., “Robust Real-Time Face Detection”, International Journal of Computer Vision, 57(2), 137-154 (2004).
[4] O. Arriaga, G. Paul, M. Valdenegro, “Real-time Convolutional Neural Networks for Emotion and Gender Classification”
[5] Face detection in OpenCV using Haar cascade
[6] The Echo Nest Developer Center.
[7] Kaggle FER2013 open source dataset for face
[8] A. R. Patel, A. Vollal, P. B. Kadam, S. Yadav, R. M. Samant,“MoodyPlayer: A Mood based Music Player”.
[9] C. Jenefer, S. Leena, M. Nirmala, Dr. J. SelvaKumar, “A Survey: Expression Based Music Player”.
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