Dysarthric speech poses significant challenges for individuals with dysarthria, impacting their ability to communicate socially. Despite the widespread use of Automatic Speech Recognition (ASR), accurately recognizing dysarthric speech remains a formidable task, largely due to the limited availability of dysarthric speech data. To address this gap, we developed the Chinese Dysarthria Speech Database (CDSD), the most extensive collection of Chinese dysarthria data to date, featuring 133 hours of recordings from 44 speakers. Our benchmarks reveal a best Character Error Rate (CER) of 16.4\%. Compared to the CER of 20.45\% from our additional human experiments, Dysarthric Speech Recognition (DSR) demonstrates its potential in significant improvement of communication for individuals with dysarthria. The CDSD database will be made publicly available atthis http URL.
View on arXiv@article{wang2025_2310.15930,
title={ CDSD: Chinese Dysarthria Speech Database },
author={ Yan Wang and Mengyi Sun and Xinchen Kang and Jingting Li and Pengfei Guo and Ming Gao and Su-Jing Wang },
journal={arXiv preprint arXiv:2310.15930},
year={ 2025 }
}