184 citations · 678 across the 15 of their papers we have counts for
Showing 2018 · eess.ASShow all
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eess.AS2018★ 97 cited
Curriculum Learning for Speech Emotion Recognition from Crowdsourced Labels
Reza Lotfian, Carlos Busso
This study introduces a method to design a curriculum for machine-learning to maximize the efficiency during the training process of deep neural networks (DNNs) for speech emotion…
eess.AS2018★ 4 cited
Ladder Networks for Emotion Recognition: Using Unsupervised Auxiliary Tasks to Improve Predictions of Emotional Attributes
Srinivas Parthasarathy, Carlos Busso
Recognizing emotions using few attribute dimensions such as arousal, valence and dominance provides the flexibility to effectively represent complex range of emotional behaviors. C…
eess.AS2018★ 184 cited
Domain Adversarial for Acoustic Emotion Recognition
Mohammed Abdelwahab, Carlos Busso
The performance of speech emotion recognition is affected by the differences in data distributions between train (source domain) and test (target domain) sets used to build and eva…