The Open-Access Mandarin Subacute Stroke Dysarthria Multimodal (MSDM) Database for Intelligent Assessment

Early objective identification and assessment of dysarthria due to neurological deficits are essential for neurorehabilitation. Developing a system to achieve this requires a large-scale database of pathological information with detailed labeling. In the present study, a high-quality Chinese multimodal audio-visual database, consisting of 64 subacute stroke patients and 25 healthy participants, named the “Mandarin Subacute Stroke Dysarthria Multimodal (MSDM) database”, was established. The materials of MSDM include a series of speech tasks such as syllables, characters, words, sentences, and spontaneous speech. All audio-visual data in this database were manually annotated and simultaneously verified by experienced researchers. Additionally, comprehensive clinical assessments of speech-motor function (e.g., Frenchay Dysarthria Assessment) and cognitive function (e.g., Montreal Cognitive Assessment) for each individual were included in the database. In conclusion, the MSDM database is believed to provide sufficient data resources for developing automatic assessment and speech recognition methods and contribute to understanding the pathological mechanisms of dysarthria.

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Publication Details

Published
2024-11-07
DOI
https://doi.org/10.1109/iscslp63861.2024.10799983
Citations
1
Primary Topic
Translation Studies and Practices
Type
article
Field-Weighted Citation Impact
2.78

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article

The Open-Access Mandarin Subacute Stroke Dysarthria Multimodal (MSDM) Database for Intelligent Assessment

Xiaoxia Du, Yudong Yang, Anming Hu, Rongfeng Su et al.
1 citations
Translation Studies and Practices
2.78
article

The Open-Access Mandarin Subacute Stroke Dysarthria Multimodal (MSDM) Database for Intelligent Assessment

Xiaoxia Du, Yudong Yang, Anming Hu, Rongfeng Su, Rukiye Ruzi, Xinyu Li, Xuzhong Zuo, Nan Yan, Chaojinzi Li, Juan Liu, Xiaokang Liu, Yumei Zhang, Shaofeng Zhao, Changqing Xu, Lan Wang
article en
1 citations

Abstract

Early objective identification and assessment of dysarthria due to neurological deficits are essential for neurorehabilitation. Developing a system to achieve this requires a large-scale database of pathological information with detailed labeling. In the present study, a high-quality Chinese multimodal audio-visual database, consisting of 64 subacute stroke patients and 25 healthy participants, named the “Mandarin Subacute Stroke Dysarthria Multimodal (MSDM) database”, was established. The materials of MSDM include a series of speech tasks such as syllables, characters, words, sentences, and spontaneous speech. All audio-visual data in this database were manually annotated and simultaneously verified by experienced researchers. Additionally, comprehensive clinical assessments of speech-motor function (e.g., Frenchay Dysarthria Assessment) and cognitive function (e.g., Montreal Cognitive Assessment) for each individual were included in the database. In conclusion, the MSDM database is believed to provide sufficient data resources for developing automatic assessment and speech recognition methods and contribute to understanding the pathological mechanisms of dysarthria.

Sun Yat-sen University (CN), Capital Medical University (CN), China Rehabilitation Research Center (CN), Beijing Tian Tan Hospital (CN), Shenzhen Institutes of Advanced Technology (CN), Eighth Affiliated Hospital of Sun Yat-sen University
National Natural Science Foundation of China, National Key Research and Development Program of China
Openalex Percentile: Top 7%
Translation Studies and Practices
2.78
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