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Transfer learning helps to improve the accuracy to classify patients with different speech disorders in different languages.

, , , , , , and . Pattern Recognit. Lett., (2021)

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Transfer learning helps to improve the accuracy to classify patients with different speech disorders in different languages., , , , , , and . Pattern Recognit. Lett., (2021)Feature Representation of Pathophysiology of Parkinsonian Dysarthria., , , , , and . INTERSPEECH, page 3048-3052. ISCA, (2019)Transfer Learning to Detect Parkinson's Disease from Speech In Different Languages Using Convolutional Neural Networks with Layer Freezing., , , and . TDS, volume 12284 of Lecture Notes in Computer Science, page 331-339. Springer, (2020)Automatic speech-based assessment to discriminate Parkinson's disease from essential tremor with a cross-language approach., , and . npj Digit. Medicine, (2024)End-to-End Parkinson's Disease Detection Using a Deep Convolutional Recurrent Network., , , and . TSD, volume 13502 of Lecture Notes in Computer Science, page 326-338. Springer, (2022)Federated learning for secure development of AI models for Parkinson's disease detection using speech from different languages., , , , , , and . CoRR, (2023)Apkinson: A Mobile Solution for Multimodal Assessment of Patients with Parkinson's Disease., , , , , , , , , and 5 other author(s). INTERSPEECH, page 964-965. ISCA, (2019)