Emotion based music recommendation

Registration ID: IJNRD_206684

Published ID: IJNRD2310111

DOI: Click Here to Get

Vrajkumar Parekh

Facial emotion recognition, Convolution neural network, Transfer learning

The feelings contained in the human face have a great influence on decisions and arguments about various issues. Listening to music can reduce stress. Music plays a significant role in mood. Automatic extraction of these emotions from images of human faces can help in human-computer interaction as well as many other applications. Machine learning algorithms, especially deep neural networks, can learn complex features and classify complex patterns. In this paper, a deep learning-based framework for human emotion detection is presented. The proposed framework uses deep convolutional neural networks and transfer learning methods. The experimental results show that the proposed features increase the speed and accuracy of training the neural network.

Published Paper   E-Certificate

Vrajkumar Parekh (October-2023). Emotion based music recommendation. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 8(10), b93-b100. https://ijnrd.org/papers/IJNRD2310111.pdf

Volume 8 Issue 10, October-2023

Pages : b93-b100

Paper Reg. ID: IJNRD_206684

Published Paper Id: IJNRD2310111

Downloads: 000121988

Research Area: Computer Engineering 

Country: Anand, Gujarat, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2310111.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2310111

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

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

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Call For Paper - Volume 10 | Issue 10 | October 2025

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Current Issue: Volume 10 | Issue 10 | October 2025

Impact Factor: 8.76

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