Music is a soothing combination of sounds that can heal a person mentally and emotionally. Listening to music can improve their mood and productivity, as it helps to destress/reduce anxiety and enhance sleep quality. Here, the proposed music recommendation system is based on Age, Gender, and Emotion. For a better-personalized recommendation system, the age and gender should also be considered in addition to the emotion, further depending on different age groups and gender, the preference also changes. The entire system can then be divided into three neural network-based models to detect age, gender, and emotion, respectively, and depending on this combination, the personalized playlist has been suggested.


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    Titel :

    CNN based Music Recommendation system based on Age, Gender and Emotion


    Beteiligte:
    Jayakumar, Jayadeep (Autor:in) / Supriya, P (Autor:in)


    Erscheinungsdatum :

    2022-12-01


    Format / Umfang :

    1178015 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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