Dysphonia Diagnosis Using Self-supervised Speech Models in Mono and Cross-Lingual Settings
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-70566-3_3
Reference31 articles.
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4. Aziz, D., Dávid, S.: Multitask and transfer learning approach for joint classification and severity estimation of dysphonia. IEEE J. Transl. Eng. Health Med. 12, 233–244 (2023). https://doi.org/10.1109/JTEHM.2023.3340345
5. Baevski, A., Hsu, W.N., Xu, Q., Babu, A., Gu, J., Auli, M.: data2vec: A General Framework for Self-supervised Learning in Speech, Vision and Language. arXiv (2022). https://doi.org/10.48550/arXiv.2202.03555
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