Abstract
A developing area of music information retrieval is the characterization of musical mood. The emotional significance of the music's lyrics is combined with an audio file extraction in this study to map the melody onto a psychologically based feeling space. This study investigated the driving force behind this system: the insufficiency of user-friendly, contextual-aware playlist-creation tools for music listeners. The necessity for such tools is made clear by the fact that digital music libraries are continually growing, making it progressively more challenging to remember a certain song in the library or to make a playlist for an upcoming occasion. This research article created a conceptual framework and investigated three scenarios of mood classification of music under various presumptions. Case 1 studied the existence of psychologically based emotion space, Case 2 examined the lack of intuitive and contextually aware digital playlist generation tools available to music listeners, and Case 3 investigated the relationship between music genre and human moods. In contrast, there is a strong correlation between human moods, music genres, and digital playlist generation tools such as Spotify and YouTube music that impact human psychology.
Author Information
Manish Sharma, Lovely Professional University, India
Paper Information
Conference: IICAH2024
Stream: Arts - Media Arts Practices: Television
This paper is part of the IICAH2024 Conference Proceedings (View)
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To cite this article:
Sharma M. (2024) Relationships Between Music Genre, Human Moods-Based Music and Digital Music Playlist Exploration System: Case Study ISSN: 2432-4604 – The IAFOR International Conference on Arts & Humanities – Hawaii 2024 Official Conference Proceedings https://doi.org/10.22492/issn.2432-4604.2024.2
To link to this article: https://doi.org/10.22492/issn.2432-4604.2024.2
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