Non-linear Dynamics Characterization from Wavelet Packet Transform for Automatic Recognition of Emotional Speech
ABSTRACT: We propose a new set of features based on non-linear dynamics measures obtained from the wavelet packet transform for the automatic recognition of “fear-type” emotions in speech. The experiments are carried out using three different databases with a Gaussian Mixture Model for classificatio...
- Autores:
-
Vásquez Correa, Juan Camilo
Orozco Arroyave, Juan Rafael
Vargas Bonilla, Jesús Francisco
Arias Londoño, Julian D.
Noth, Elmar
- Tipo de recurso:
- Article of investigation
- Fecha de publicación:
- 2016
- Institución:
- Universidad de Antioquia
- Repositorio:
- Repositorio UdeA
- Idioma:
- eng
- OAI Identifier:
- oai:bibliotecadigital.udea.edu.co:10495/35453
- Acceso en línea:
- https://hdl.handle.net/10495/35453
- Palabra clave:
- Reconocimiento Facial
Facial Recognition
Reconocimiento de Voz
Voice Recognition
Sistemas de procesamiento de la voz
Speech processing systems
Linguistica computacional
Computational linguistics
Non-linear Dynamics
Non-linear speech processing
Wavelet Packet Transform
- Rights
- openAccess
- License
- https://creativecommons.org/licenses/by/4.0/