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Transfer Learning to Detect Parkinson's Disease from Speech In Different Languages Using Convolutional Neural Networks with Layer Freezing.

, , , и . TDS, том 12284 из Lecture Notes in Computer Science, стр. 331-339. Springer, (2020)

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Andrés Camilo Vásquez Torres

Juan Camilo Roldán

Pablo Ignacio Correa Vasquez

Juan Camilo Ossa Roldán

Adán Vásquez

 

Другие публикации лиц с тем же именем

Comparison of User Models Based on GMM-UBM and I-Vectors for Speech, Handwriting, and Gait Assessment of Parkinson's Disease Patients., , , и . ICASSP, стр. 6544-6548. IEEE, (2020)One System to Rule them All: a Universal Intent Recognition System for Customer Service Chatbots., , , , и . CoRR, (2021)Representation Learning Strategies to Model Pathological Speech: Effect of Multiple Spectral Resolutions., , , и . CoRR, (2022)Transfer learning helps to improve the accuracy to classify patients with different speech disorders in different languages., , , , , , и . Pattern Recognit. Lett., (2021)Empirical Mode Decomposition articulation feature extraction on Parkinson's Diadochokinesia., , , , и . Comput. Speech Lang., (2022)Characterisation of voice quality of Parkinson's disease using differential phonological posterior features., , , , , и . Comput. Speech Lang., (2017)Novel Speech Recognition Systems Applied to Forensics within Child Exploitation: Wav2vec2.0 vs. Whisper., и . Sensors, 23 (4): 1843 (февраля 2023)Multimodal I-vectors to Detect and Evaluate Parkinson's Disease., , , и . INTERSPEECH, стр. 2349-2353. ISCA, (2018)Time Dependent ARMA for Automatic Recognition of Fear-Type Emotions in Speech., , , , , и . TSD, том 9302 из Lecture Notes in Computer Science, стр. 96-104. Springer, (2015)Gender-dependent GMM-UBM for tracking Parkinson's disease progression from speech., , , , , и . ITG Symposium on Speech Communication, стр. 1-5. IEEE, (2016)