Interpreting Pretrained Speech Models for Automatic Speech Assessment of Voice Disorders
Author:
Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-67278-1_5
Reference31 articles.
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3. Alshammri, R., Alharbi, G., Alharbi, E., Almubark, I.: Machine learning approaches to identify Parkinson's disease using voice signal features. Front. Artif. Intell. 6 (2023)
4. Wang, J., Zhang, L., Liu, T., Pan, W., Hu, B. Zhu, T.: Acoustic differences between healthy and depressed people: a cross-situation study. BMC Psychiatry 19 (2019)
5. Nathan, V., Vatanparvar, K., Rahman, M.M., Nemati, E., Kuang, J.: Assessment of chronic pulmonary disease patients using biomarkers from natural speech recorded by mobile devices. In: 2019 IEEE 16th International Conference on Wearable and Implantable Body Sensor Networks (BSN) (2019)
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