Emotify+
Reference
This web page represents results for the following paper:
A. Wiafe, S. Sieranoja, A. Bhuiyan and P. Fränti
"Emotify+: Music dataset with annotated emotions"
EURASIP Journal on Audio Speech and Music Processing, 31, 1-17, 2025
PDF
Music emotion recognition
A web-based music platform is developed to study the effects of music on emotion.
The Emotify music dataset (Aljanaki et al., 2016) which consists of 400 songs (44100 Hz, 128 kbps, one minute each) from four different genres: classical, rock, pop and electronic music (100 tracks per genre) is used.
Link to Music app Emotions perceived:- Relaxing
- Energizing
- Amusing
- Dreamy
- Happy
- Neutral
- Sad
- Anxious
- Joyful
- Annoying
Emotions annotated results:
Link to local dataset results: Results CSV
Link to Meneley Data page on dataset: Link to Mendeley data