Speech Emotion Based Music Recommendation System

Author:

Bhosale Smita,Kothawade Chirag,Jagtap Gourie,Chavan Vedang,Relusinghani Preet Kaur

Abstract

Psychological research has proven that music can reduce stress, improve mood, and help release “happy” chemicals like oxytocin, serotonin, and dopamine. Unsurprisingly, music has always been a popular tool in clinics and in the treatment of many ailments; Therefore, as the number of people experiencing mental health issues continues to increase around the world, addressing mental health issues has become more important than ever. Although there are currently recommended music, they do not have all the scheduling algorithms that take into account the user's needs. Few platforms offer music-based recommendations, and even fewer do so by incorporating the therapeutic benefits of music appropriate to the situation. It is undeniable that most people listen to music regularly, and music has been shown to improve cognition, memory, and sleep quality while also reducing stress, pain, and blood pressure. and a deployable way to enjoy all the benefits of music. Our goal is to improve the emotional state of the user by creating a positive feeling based on the recommended music called "Viby". to behave.

Publisher

International Journal of Innovative Science and Research Technology

Reference11 articles.

1. Saikat Basu, Jaybrata Chakraborty, Arnab Bag and Md. Aftabuddin.”A Review on Emotion Recognition using Speech”(IEEE 2017).

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

3. Chaitanya Singlaa, Sukhdev Singhb,Monika Pathakc ”AUTOMATIC AUDIO BASED

4. EMOTION RECOGNITION SYSTEM: SCOPE AND CHALLENGES”

5. Ajay Gupta1, Siddhesh Morye2, Mukul Sitap3, Supriya Chaudhary4.”Speech based

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