11 citations · 15 across the 4 of their papers we have counts for
4 papers
LanSER: Language-Model Supported Speech Emotion Recognition
Taesik Gong, Josh Belanich, Krishna Somandepalli +3
Speech emotion recognition (SER) models typically rely on costly human-labeled data for training, making scaling methods to large speech datasets and nuanced emotion taxonomies dif…
Multitask vocal burst modeling with ResNets and pre-trained paralinguistic Conformers
Josh Belanich, Krishna Somandepalli, Brian Eoff +1
This technical report presents the modeling approaches used in our submission to the ICML Expressive Vocalizations Workshop & Competition multitask track (ExVo-MultiTask). We first…
Some Open Problems in Optimal AdaBoost and Decision Stumps
Joshua Belanich, Luis E. Ortiz
The significance of the study of the theoretical and practical properties of AdaBoost is unquestionable, given its simplicity, wide practical use, and effectiveness on real-world d…
On the Convergence Properties of Optimal AdaBoost
Joshua Belanich, Luis E. Ortiz
AdaBoost is one of the most popular ML algorithms. It is simple to implement and often found very effective by practitioners, while still being mathematically elegant and theoretic…