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Influence of the Interviewer on the Automatic Assessment of Alzheimer's Disease in the Context of the ADReSSo Challenge.

, , , , , , , , and . Interspeech, page 3785-3789. ISCA, (2021)

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Wav2vec behind the Scenes: How end2end Models learn Phonetics., , , , and . INTERSPEECH, page 5130-5134. ISCA, (2022)Phonet: A Tool Based on Gated Recurrent Neural Networks to Extract Phonological Posteriors from Speech., , , and . INTERSPEECH, page 549-553. ISCA, (2019)The phonetic footprint of Parkinson's disease., , , , , , and . Comput. Speech Lang., (2022)The Phonetic Footprint of Parkinson's Disease., , , , , , and . CoRR, (2021)The Phonetic Footprint of Covid-19?, , , , , , , and . Interspeech, page 441-445. ISCA, (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)Depression assessment in people with Parkinson's disease: The combination of acoustic features and natural language processing., , , , , , and . Speech Commun., (2022)Apkinson: A Mobile Solution for Multimodal Assessment of Patients with Parkinson's Disease., , , , , , , , , and 5 other author(s). INTERSPEECH, page 964-965. ISCA, (2019)Feature Space Visualization with Spatial Similarity Maps for Pathological Speech Data., , , and . INTERSPEECH, page 3068-3072. ISCA, (2019)Disentangled Latent Speech Representation for Automatic Pathological Intelligibility Assessment., , , , , , and . INTERSPEECH, page 4815-4819. ISCA, (2022)