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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