Automatic Assessment of Dysarthria Using Audio-visual Vowel Graph Attention Network

Autor: Liu, Xiaokang, Du, Xiaoxia, Liu, Juan, Su, Rongfeng, Ng, Manwa Lawrence, Zhang, Yumei, Yang, Yudong, Zhao, Shaofeng, Wang, Lan, Yan, Nan

Automatic assessment of dysarthria remains a highly challenging task due to high variability in acoustic signals and the limited data. Currently, research on the automatic assessment of dysarthria primarily focuses on two approaches: one that utilize

Externí odkaz: http://arxiv.org/abs/2405.03254

On-the-Fly Feature Based Rapid Speaker Adaptation for Dysarthric and Elderly Speech Recognition

Autor: Geng, Mengzhe, Xie, Xurong, Su, Rongfeng, Yu, Jianwei, Jin, Zengrui, Wang, Tianzi, Hu, Shujie, Ye, Zi, Meng, Helen, Liu, Xunying

Accurate recognition of dysarthric and elderly speech remain challenging tasks to date. Speaker-level heterogeneity attributed to accent or gender, when aggregated with age and speech impairment, create large diversity among these speakers. Scarcity

Externí odkaz: http://arxiv.org/abs/2203.14593

Audio-video database from subacute stroke patients for dysarthric speech intelligence assessment and preliminary analysis

Autor: Liu, Juan, Du, Xiaoxia, Lu, Shangjun, Zhang, Yu-Mei, An-ming, HU, Lawrence Ng, Manwa, Su, Rongfeng, Wang, Lan, Yan, Nan

Publikováno v: In Biomedical Signal Processing and Control January 2023 79 Part 2

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Phonetic versus spatial processes during motor‐oriented imitations of visuo‐labial and visuo‐lingual speech: A functional near‐infrared spectroscopy study.

Autor: Zhao, Tinghao, Hu, Anming, Su, Rongfeng, Lyu, Chengchen, Wang, Lan, Yan, Nan

Publikováno v: European Journal of Neuroscience; Jan2022, Vol. 55 Issue 1, p154-174, 21p, 2 Color Photographs, 2 Black and White Photographs, 5 Charts, 1 Graph