Robust Unsupervised Arousal Rating: A rule-based framework with knowledge-inspired vocal features. Bone, D., Lee, C., & Narayanan, S. S. IEEE Transactions on Affective Computing, 5(1):201-213, Apr, 2014. doi bibtex @article{Bone2014RobustUnsupervisedArousalRating:,
author = {Bone, Daniel and Lee, Chi-Chun and Narayanan, Shrikanth S.},
bib2html_rescat = {emotion},
doi = {10.1109/TAFFC.2014.2326393},
journal = {IEEE Transactions on Affective Computing},
link = {http://sail.usc.edu/publications/files/bone_ieeetaffc_2014.pdf},
month = {Apr},
number = {1},
pages = {201-213},
title = {Robust Unsupervised Arousal Rating: A rule-based framework with knowledge-inspired vocal features},
volume = {5},
year = {2014}
}
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