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AI-DRIVEN MOOD CLASSIFICATION OF MUSIC

  • Unique Paper ID: 166532
  • Volume: 11
  • Issue: 2
  • PageNo: 1249-1252
  • Abstract:
  • Music has always played a crucial role in human life for recreation, entertainment, and therapy. The evolution of music technology from tape recorders to digital streaming has not changed the deep emotional connection people have with music. However, many music software applications lack the ability to create playlists based on the listener's mood, requiring users to manually curate their playlists. To address this, annotating songs with emotional categories for automatic mood-based playlist generation is proposed. The challenge is the labor-intensive manual annotation process. Advances in mood recognition through machine learning and data mining have paved the way for automatic mood identification in music. This study focuses on Indian Popular Hindi songs, using spectral and temporal audio features. Various data classification algorithms were explored, leading to an open-source framework achieving a 70%-75% precision rate in mood identification through the bagging ensemble of the random forest approach, tested on 4600 audio clips.
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Cite This Article

  • ISSN: 2349-6002
  • Volume: 11
  • Issue: 2
  • PageNo: 1249-1252

AI-DRIVEN MOOD CLASSIFICATION OF MUSIC

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