Context

A new 4-quadrant audio emotion dataset. It contains 900 audio clips, annotated into 4 quadrants, according to Russell's model.

The dataset consists of:

• 900 ~30 second clips gathered from AllMusic API
• The files are organized in 4 folders (Q1 to Q4)
• Two metadata csv files with annotations and extra metadata

You can refer README file inside Audio and Features folder for more information.

Acknowledgements

Source: http://mir.dei.uc.pt/downloads.html

If you use it, please cite the following article(s): 

PDF Panda R., Malheiro R. & Paiva R. P. (2018). "Novel audio features for music emotion recognition". IEEE Transactions on Affective Computing (IEEE early access). DOI: 10.1109/TAFFC.2018.2820691.

PDFPanda R., Malheiro R., Paiva R. P. (2018). "Musical Texture and Expressivity Features for Music Emotion Recognition". 19th International Society for Music Information Retrieval Conference -- ISMIR 2018, Paris, France.