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    • Orozco-Arroyave, Juan Rafael (6)
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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Hits 1 – 6 of 6 1 Self-Supervised Speech Representations Preserve Speech Characteristics while Anonymizing Voices ... Hernandez, Abner; Pérez-Toro, Paula Andrea; Vásquez-Correa, Juan Camilo. - : arXiv, 2022 BASE Show details 2 Gender Recognition in Informal and Formal Language Scenarios via Transfer Learning ... Escobar-Grisales, Daniel; Vasquez-Correa, Juan Camilo; Orozco-Arroyave, Juan Rafael. - : arXiv, 2021 BASE Show details 3 The Phonetic Footprint of Parkinson's Disease ... Klumpp, Philipp; Arias-Vergara, Tomás; Vásquez-Correa, Juan Camilo; Pérez-Toro, Paula Andrea; Orozco-Arroyave, Juan Rafael; Batliner, Anton; Nöth, Elmar. - : arXiv, 2021 Abstract: As one of the most prevalent neurodegenerative disorders, Parkinson's disease (PD) has a significant impact on the fine motor skills of patients. The complex interplay of different articulators during speech production and realization of required muscle tension become increasingly difficult, thus leading to a dysarthric speech. Characteristic patterns such as vowel instability, slurred pronunciation and slow speech can often be observed in the affected individuals and were analyzed in previous studies to determine the presence and progression of PD. In this work, we used a phonetic recognizer trained exclusively on healthy speech data to investigate how PD affected the phonetic footprint of patients. We rediscovered numerous patterns that had been described in previous contributions although our system had never seen any pathological speech previously. Furthermore, we could show that intermediate activations from the neural network could serve as feature vectors encoding information related to the disease ... : https://www.sciencedirect.com/science/article/abs/pii/S0885230821001169 ... Keyword: Artificial Intelligence cs.AI; Audio and Speech Processing eess.AS; FOS Computer and information sciences; FOS Electrical engineering, electronic engineering, information engineering; Machine Learning cs.LG URL: https://arxiv.org/abs/2112.11514 https://dx.doi.org/10.48550/arxiv.2112.11514 BASE Hide details 4 Characterisation of voice quality of Parkinson's disease using differential phonological posterior features Cernak, Milos; Orozco-Arroyave, Juan Rafael; Rudzicz, Frank... In: http://infoscience.epfl.ch/record/228286 (2017) BASE Show details 5 NeuroSpeech: An open-source software for Parkinson's speech analysis Orozco-Arroyave, Juan Rafael; Vasquez-Correa, Juan Camilo; Vargas-Bonilla, Jesús Francisco... In: http://infoscience.epfl.ch/record/230231 (2017) BASE Show details 6 Characterisation of voice quality of Parkinson's disease using differential phonological posterior features Cernak, Milos; Orozco-Arroyave, Juan Rafael; Rudzicz, Frank... In: http://infoscience.epfl.ch/record/229210 (2017) BASE Show details

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