1 citations · 2 across the 2 of their papers we have counts for
2 papers
eess.AS2024★ 1 cited
Investigating Acoustic-Textual Emotional Inconsistency Information for Automatic Depression Detection
Rongfeng Su, Changqing Xu, Xinyi Wu +4
Previous studies have demonstrated that emotional features from a single acoustic sentiment label can enhance depression diagnosis accuracy. Additionally, according to the Emotion…
cs.SD2024★ 1 cited
An Audio-textual Diffusion Model For Converting Speech Signals Into Ultrasound Tongue Imaging Data
Yudong Yang, Rongfeng Su, Xiaokang Liu +2
Acoustic-to-articulatory inversion (AAI) is to convert audio into articulator movements, such as ultrasound tongue imaging (UTI) data. An issue of existing AAI methods is only usin…