citations.txt

Cao H, Cooper DG, Keutmann MK, Gur RC, Nenkova A, Verma R. CREMA-D: Crowd-sourced Emotional Multimodal Actors Dataset. IEEE transactions on affective computing. 2014;5(4):377-390. doi:10.1109/TAFFC.2014.2336244.

The Ryerson Audio-Visual Database of Emotional Speech and Song (RAVDESS): A dynamic, multimodal set of facial and vocal expressions in North American English

http://www.emodb.bilderbar.info/download/

http://kahlan.eps.surrey.ac.uk/savee/

https://dataverse.scholarsportal.info/dataset.xhtml?persistentId=doi%3A10.5683%2FSP2%2FE8H2MF

[1] Russ, J. B., Gur, R. C., & Bilker, W. B. (2008). Validation of affective and neutral sentence content for prosodic testing. Behavior Research Methods, 40(4), 935–939. http://doi.org/10.3758/BRM.40.4.935

Ooi Xuan Shan & Huang Qirui, member of team 8000SGD_CAT, Hwa Chong Institution - contributed 100 samples of self-recorded Singaporean accent samples

http://m3c.web.auth.gr/research/aesdd-speech-emotion-recognition/

Cross Lingual Speech Emotion Recognition: Urdu vs. Western Languages (https://github.com/siddiquelatif/URDU-Dataset)

Giovanni Costantini, Iacopo Iaderola, Andrea Paoloni, and Massimiliano Todisco. 2014. EMOVO Corpus: an Italian Emotional Speech Database. In Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14), pages 3501–3504, Reykjavik, Iceland. European Language Resources Association (ELRA).

DSTA: custom Singaporean accent dataset (competition official training data)