Global Selection of Features for Nonlinear Dynamics Characterization of Emotional Speech
ABSTRACT: This paper proposes the application of measures based on nonlinear dynamics for emotional speech characterization. Measures such as mutual information, dimension correlation, entropy correlation, Shannon’s entropy, Lempel–Ziv complexity and Hurst exponent are extracted from the samples of...
- Autores:
-
Orozco Arroyave, Juan Rafael
Henríquez Rodríguez, Patricia
Alonso Hernández, Jesús Bernardino
Ferrer Ballester, Miguel Ángel
Travieso González, Carlos Manuel
- Tipo de recurso:
- Article of investigation
- Fecha de publicación:
- 2013
- Institución:
- Universidad de Antioquia
- Repositorio:
- Repositorio UdeA
- Idioma:
- eng
- OAI Identifier:
- oai:bibliotecadigital.udea.edu.co:10495/35812
- Acceso en línea:
- https://hdl.handle.net/10495/35812
- Palabra clave:
- Nonlinear Dynamics
Dinámicas no Lineales
Expressed Emotion
Emoción Expresada
Expressed Emotion
Neural networks
Redes de neuronas
http://aims.fao.org/aos/agrovoc/c_37467
- Rights
- openAccess
- License
- http://creativecommons.org/licenses/by-nc-nd/2.5/co/