Analysis of Pathological Speech Signals
ABSTRACT : This thesis addresses the automatic analysis of speech disorders resulting from a clinical condition (Parkinson's disease and hearing loss) or the natural aging process. For Parkinson's disease, the progression of speech symptoms is evaluated by considering speech recordings cap...
- Autores:
-
Arias Vergara, Tomás
- Tipo de recurso:
- Doctoral thesis
- Fecha de publicación:
- 2022
- Institución:
- Universidad de Antioquia
- Repositorio:
- Repositorio UdeA
- Idioma:
- eng
- OAI Identifier:
- oai:bibliotecadigital.udea.edu.co:10495/31409
- Acceso en línea:
- https://hdl.handle.net/10495/31409
- Palabra clave:
- Deep Learning
Aprendizaje profundo
Parkinson Disease
Enfermedad de parkinson
Speech Recognition Software
Software de Reconocimiento del Habla
Cochlear Implants
Implantes Cocleares
Aging
Envejecimiento
Machine learning
Aprendizaje automático (inteligencia artificial)
Speech processing
- Rights
- openAccess
- License
- http://creativecommons.org/licenses/by/2.5/co/