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Depression assessment in people with Parkinson's disease: The combination of acoustic features and natural language processing.

, , , , , , and . Speech Commun., (2022)

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Phonet: A Tool Based on Gated Recurrent Neural Networks to Extract Phonological Posteriors from Speech., , , and . INTERSPEECH, page 549-553. ISCA, (2019)Wav2vec behind the Scenes: How end2end Models learn Phonetics., , , , and . INTERSPEECH, page 5130-5134. ISCA, (2022)The phonetic footprint of Parkinson's disease., , , , , , and . Comput. Speech Lang., (2022)The Phonetic Footprint of Covid-19?, , , , , , , and . Interspeech, page 441-445. ISCA, (2021)The Phonetic Footprint of Parkinson's Disease., , , , , , and . CoRR, (2021)Autoblog 2021: The Importance of Language Models for Spontaneous Lecture Speech., , , , and . TSD, volume 13502 of Lecture Notes in Computer Science, page 291-300. Springer, (2022)Acoustic and Linguistic Analyses to Assess Early-Onset and Genetic Alzheimer's Disease., , , , , , , , , and 3 other author(s). ICASSP, page 8338-8342. IEEE, (2021)End-2-End Modeling of Speech and Gait from Patients with Parkinson's Disease: Comparison Between High Quality Vs. Smartphone Data., , , , , and . ICASSP, page 7298-7302. IEEE, (2021)Synthetic Cross-accent Data Augmentation for Automatic Speech Recognition., , , , , , , and . CoRR, (2023)Depression assessment in people with Parkinson's disease: The combination of acoustic features and natural language processing., , , , , , and . Speech Commun., (2022)