184 citations · 678 across the 15 of their papers we have counts for
5 papers · 1 filter
End-to-end Audiovisual Speech Activity Detection with Bimodal Recurrent Neural Models
Fei Tao, Carlos Busso
Speech activity detection (SAD) plays an important role in current speech processing systems, including automatic speech recognition (ASR). SAD is particularly difficult in environ…
Speech-Driven Expressive Talking Lips with Conditional Sequential Generative Adversarial Networks
Najmeh Sadoughi, Carlos Busso
Articulation, emotion, and personality play strong roles in the orofacial movements. To improve the naturalness and expressiveness of virtual agents (VAs), it is important that we…
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…
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…
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…