An efficient supervised framework for music mood recognition using autoencoder‐based optimised support vector regression model
Abstract Music is the art of ‘language of emotions’. Recently, music mood recognition is an emerging task. An efficient supervised framework for music mood recognition using autoencoder‐based optimised support vector regression (SVR) model is developed for the music emotion recognition. Our main int...
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2021-04-01
|
| Series: | IET Signal Processing |
| Online Access: | https://doi.org/10.1049/sil2.12015 |