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Jincen Wang

2 accepted papers

2024

Emotion-Aware Contrastive Adaptation Network for Source-Free Cross-Corpus Speech Emotion Recognition

ICASSP 2024accepted

Cross-corpus speech emotion recognition (SER) aims to transfer emotional knowledge from a labeled source corpus to an unlabeled corpus. However, prior methods require access to source data during adaptation, which is unattainable in real-life scenarios due to data privacy protection concerns. This p…

Cited by 0SourceScholar
2023

Deep Implicit Distribution Alignment Networks for cross-Corpus Speech Emotion Recognition

ICASSP 2023accepted

In this paper, we propose a novel deep transfer learning method called deep implicit distribution alignment networks (DIDAN) to deal with cross-corpus speech emotion recognition (SER) problem, in which the labeled training (source) and unlabeled testing (target) speech signals come from different co…

Cited by 0SourceScholar