Predicting Hit Songs Using Audio and Visual Features
Factors contributing to a song’s popularity are explored in this study. Recent studies have mainly focused on using acoustic features to identify popular songs. However, we combined audio and visual data to make predictions on 1000 YouTube songs. In total, 1000 songs were grouped into two categories...
Saved in:
Main Authors: | Cheng-Yuan Lee, Yi-Ning Tu |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2025-03-01
|
Series: | Engineering Proceedings |
Subjects: | |
Online Access: | https://www.mdpi.com/2673-4591/89/1/43 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Audio-visual methods in teaching /
by: Dale, Edgar, 1900-
Published: (1954) -
Audio-visual equipment : a technician's and user's handbook /
by: Robertson, Ian
Published: (1991) -
A manager's guide to audio-visual production /
Published: (1990) -
The audio-visual handbook : a complete guide to the world of audio-visual techniques /
by: McPherson, Alan
Published: (1988) -
Storage and retrieval of audio-visual resources
by: Grant, Mike
Published: (1979)