Please start with the main.py.

Since the data used in this study include naturalistic speech samples that can be easily identified, the audio recordings will not be made public to protect the subjects' privacy. Some of the structured data after desensitization are available upon request from the corresponding author.

If you use the code in your research, we would appreciate a citation to the appropriate paper(s):

Z. L. Zhang, L-Z. Yang, X. Wang, H. Li. Automated Detection of Wilson’s Disease Based on Improved Mel-frequency Cepstral Coefficients with Signal Decomposition. Proc. Interspeech 2022, pp. 2143-2147, 2022. doi: 10.21437/Interspeech.2022-859