Automatic speech-based assessment to discriminate Parkinson’s disease from essential tremor with a cross-language approach

Autor: Cristian David Rios-Urrego, Jan Rusz, Juan Rafael Orozco-Arroyave

Publikováno v: npj Digital Medicine, Vol 7, Iss 1, Pp 1-11 (2024)

Abstract Parkinson’s disease (PD) and essential tremor (ET) are prevalent movement disorders that mainly affect elderly people, presenting diagnostic challenges due to shared clinical features. While both disorders exhibit distinct speech patterns�

Externí odkaz: https://doaj.org/article/e55b98d8434d40f0a37b05ad40f1020e

Colombian Dialect Recognition from Call-Center Conversations Using Fusion Strategies

Autor: Elmar Nöth, Diego Lopez, Nestor Calvo, Cristian David Rios-Urrego, Juan Rafael Orozco-Arroyave, Jeferson Gallo, Daniel Escobar Grisales

Publikováno v: Communications in Computer and Information Science ISBN: 9783031206108

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::739d5a226ce744ac566fe8a0d33cd64f
https://doi.org/10.1007/978-3-031-20611-5_5

Is There Any Additional Information in a Neural Network Trained for Pathological Speech Classification?

Autor: Elmar Nöth, Juan Camilo Vásquez-Correa, Juan Rafael Orozco-Arroyave, Cristian David Rios-Urrego

Publikováno v: Text, Speech, and Dialogue ISBN: 9783030835262
TDS

Speech is a biomarker extensively explored by the scientific community for different health-care applications because its reduced cost and non-intrusiveness. Specifically, in Parkinson’s disease, speech signals and deep learning methods have been e

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::d4abbd31c82b46cb95e7b1dc28cfe64e
https://doi.org/10.1007/978-3-030-83527-9_37

Convolutional Neural Networks and a Transfer Learning Strategy to Classify Parkinson's Disease from Speech in Three Different Languages

Autor: Elmar Nöth, Jan Rusz, Cristian David Rios-Urrego, Maria Schuster, Tomas Arias-Vergara, Juan Camilo Vásquez-Correa, Juan Rafael Orozco-Arroyave

Publikováno v: Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications-24th Iberoamerican Congress, CIARP 2019, Havana, Cuba, October 28-31, 2019, Proceedings
Lecture Notes in Computer Science
Lecture Notes in Computer Science-Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications
Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications ISBN: 9783030339036

Parkinson’s disease patients develop different speech impairments that affect their communication capabilities. The automatic assessment of the speech of the patients allows the development of computer aided tools to support the diagnosis and the e

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f6698199df5fcd3a47160c10c209fda8
https://zenodo.org/record/3673064

Articulation and Empirical Mode Decomposition Features in Diadochokinetic Exercises for the Speech Assessment of Parkinson’s Disease Patients

Autor: Elmar Nöth, Sri Krishnan, Juan Rafael Orozco-Arroyave, Cristian David Rios-Urrego, Alice Rueda, Juan Camilo Vásquez-Correa

Publikováno v: Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications ISBN: 9783030339036
CIARP
Lecture Notes in Computer Science
Lecture Notes in Computer Science-Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications
Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications-24th Iberoamerican Congress, CIARP 2019, Havana, Cuba, October 28-31, 2019, Proceedings

Speech impairments are one of the earliest manifestations in patients with Parkinson’s disease. Particularly, articulation impairments related to the capability of the speaker to move the limbs and muscles of the vocal tract have been observed in t

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7231f1a3f30e4cf09e94b35e7a40e7b9
https://doi.org/10.1007/978-3-030-33904-3_65