1 citations · 3 across the 3 of their papers we have counts for
3 papers
eess.AS2020★ 1 cited
Advancing Multiple Instance Learning with Attention Modeling for Categorical Speech Emotion Recognition
Shuiyang Mao, P. C. Ching, C. -C. Jay Kuo +1
Categorical speech emotion recognition is typically performed as a sequence-to-label problem, i.e., to determine the discrete emotion label of the input utterance as a whole. One o…
eess.AS2020★ 1 cited
EigenEmo: Spectral Utterance Representation Using Dynamic Mode Decomposition for Speech Emotion Classification
Shuiyang Mao, P. C. Ching, Tan Lee
Human emotional speech is, by its very nature, a variant signal. This results in dynamics intrinsic to automatic emotion classification based on speech. In this work, we explore a…
eess.AS2020★ 1 cited
Emotion Profile Refinery for Speech Emotion Classification
Shuiyang Mao, P. C. Ching, Tan Lee
Human emotions are inherently ambiguous and impure. When designing systems to anticipate human emotions based on speech, the lack of emotional purity must be considered. However, m…