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Emotion based Music Recommendation System
Details
Music is taking a really huge part of our everyday routine. In the past few years, the percentage of people who have stress has raised at a higher rate. This is because of several reasons such as debts, higher product price, bad economy. Stress can be eliminated in various ways for example, workouts, watching movies, meditation, and listening to music. Many pieces of research state that music can assist people to scale back stress and be more focused.Unfortunately, listening to music may be unhelpful if the music does not suit the current emotion of the listener. Thus, to scale back stress, the music with the right mood should be chosen. Furthermore, although there are many music player applications, but there is no application which can select and play the music automatically based on the user's emotion. To solve these limitations, we propose a system which can recommend songs based on the user's emotion. our system is going to recognize seven types of emotions i.e. Anger, Disgust, Fear, Happy, Sad, Surprise and neutral.
Autorentext
Smita Sangewar está a trabalhar como professora no Departamento de Ciências da Computação e Engenharia. Departamento,Instituto de Têxteis e Engenharia de D.K.T.E,Ichalkaranji.
Weitere Informationen
- Allgemeine Informationen
- GTIN 09786207483914
- Herausgeber LAP LAMBERT Academic Publishing
- Anzahl Seiten 52
- Genre Software
- Sprache Englisch
- Gewicht 96g
- Untertitel DE
- Autor Smita Sangewar
- Größe H220mm x B150mm x T4mm
- Jahr 2024
- EAN 9786207483914
- Format Kartonierter Einband
- ISBN 620748391X
- Veröffentlichung 05.04.2024
- Titel Emotion based Music Recommendation System