A Survey on Speech Emotion based Music Recommendation System

Author:

Kothawade Chirag,Jagtap Gourie,Relusinghani Preet Kaur,Chavan Vedang,S Bhosale Smitha

Abstract

Psychological research has proven that music can reduce stress, improve mood, and help release “happy” chemicals like oxytocin, serotonin, and dopamine. It's no surprise that music has always been a popular tool in clinics and in the treatment of many ailments, so as people facing mental health issues continue to wander around the world, coping with mental illness is more important than ever. Although music recommendations already exist, they do not have all the scheduling algorithms that take into account the user's needs. Considering that it is undeniable that most people listen to music on a regular basis, music has also been shown to reduce stress, pain, and blood pressure while improving cognition, memory, and sleep quality. The most comprehensive and practical product that sorts all the good music. Our goal is to improve the emotional state of the user by creating a positive feeling based on the recommended music called "Viby".

Publisher

International Journal of Innovative Science and Research Technology

Reference11 articles.

1. Taiba Majid Wani, Teddy Surya Gunawan, Syed Asif Ahmad Qadri, Mira Kartiwi, Eliathamby Ambikairajah. “A Comprehensive Review of Speech Emotion Recognition Systems” In IEEE, 2021

2. Ashwin V. Gatty, G. S. Shivakumar, Kiran Shetty. “Speech Emotion Recognition using Machine Learning” In IJRESM, 2021

3. Ziyang Yu, Mengda Zhao, Yilin Wu, Peizhou Liu, Hexu Chen. “Research on Automatic Music Music Recommendation Algorithm Based on Facial Micro-expression Recognition” In CCC, 2020.

4. Huihui Yang, Yi Liu, and Ying Tang. “Emotion-Based Music Recommendation: Audio, Lyrics, and User-Review” In 2019.

5. Subhradeep Kayal, Shiva Sundaram, and Anirban Dutta. “Speech Emotion Recognition for Affective Music Classification: An Experimental Study” In 2018.

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