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20172024
most citedDomain Adversarial for Acoustic Emotion Recognition

184 citations · 678 across the 15 of their papers we have counts for

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5 papers · 1 filter

eess.AS2022

Mixed-EVC: Mixed Emotion Synthesis and Control in Voice Conversion

Kun Zhou, Berrak Sisman, Carlos Busso +2

Emotional voice conversion (EVC) traditionally targets the transformation of spoken utterances from one emotional state to another, with previous research mainly focusing on discre…

eess.AS2019★ 122 cited

Semi-Supervised Speech Emotion Recognition with Ladder Networks

Srinivas Parthasarathy, Carlos Busso

Speech emotion recognition (SER) systems find applications in various fields such as healthcare, education, and security and defense. A major drawback of these systems is their lac…

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…