8 citations · 11 across the 8 of their papers we have counts for
5 papers · 1 filter
BreathNet: Generalizable Audio Deepfake Detection via Breath-Cue-Guided Feature Refinement
Zhe Ye, Xiangui Kang, Jiayi He +5
As deepfake audio becomes more realistic and diverse, developing generalizable countermeasure systems has become crucial. Existing detection methods primarily depend on XLS-R front…
Speech Emotion Recognition via Entropy-Aware Score Selection
ChenYi Chua, JunKai Wong, Chengxin Chen +1
In this paper, we propose a multimodal framework for speech emotion recognition that leverages entropy-aware score selection to combine speech and textual predictions. The proposed…
TRNet: Two-level Refinement Network leveraging Speech Enhancement for Noise Robust Speech Emotion Recognition
Chengxin Chen, Pengyuan Zhang
One persistent challenge in Speech Emotion Recognition (SER) is the ubiquitous environmental noise, which frequently results in deteriorating SER performance in practice. In this p…
DSNet: Disentangled Siamese Network with Neutral Calibration for Speech Emotion Recognition
Chengxin Chen, Pengyuan Zhang
One persistent challenge in deep learning based speech emotion recognition (SER) is the unconscious encoding of emotion-irrelevant factors (e.g., speaker or phonetic variability),…
CTA-RNN: Channel and Temporal-wise Attention RNN Leveraging Pre-trained ASR Embeddings for Speech Emotion Recognition
Chengxin Chen, Pengyuan Zhang
Previous research has looked into ways to improve speech emotion recognition (SER) by utilizing both acoustic and linguistic cues of speech. However, the potential association betw…