Memorias de investigación
Ponencias en congresos:
Expressive Speech Identifications based on Hidden Markov Model
Año:2009
Áreas de investigación
  • Inteligencia artificial,
  • Circuitos electrónicos,
  • Dispositivos electrónicos
Datos
Descripción
This paper concerns a sub-area of a larger research field of Affective Computing, focusing on the employment of affect-recognition systems using speech modality. It is proposed that speech-based affect identification systems could play an important role as next generation biometric identification systems that are aimed at determining a person¿s `state of mind¿, or psycho-physiological state. The possible areas for the deployment of voice-affect recognition technology are discussed. Additionally, the experiments and results for emotion identification in speech based on a Hidden Markov Models (HMMs) classifier are also presented. The result from experiment suggests that certain speech feature is more precise to identify certain emotional state, and that happiness is the most difficult emotion to detect.
Internacional
Si
Nombre congreso
International Conference on Health Informatics HEALTHINF 2009, International Joint Conference on Biomedical Engineering Systems and Technologies BIOSTEC 2009
Tipo de participación
960
Lugar del congreso
Porto, Portugal
Revisores
Si
ISBN o ISSN
9789898111630
DOI
Fecha inicio congreso
16/01/2009
Fecha fin congreso
17/01/2009
Desde la página
488
Hasta la página
494
Título de las actas
Proceedings of the International Conference on Health Informatics HEALTHINF 2009, International Joint Conference on Biomedical Engineering Systems and Technologies BIOSTEC 2009
Esta actividad pertenece a memorias de investigación
Participantes
  • 5: A. Gallardo Antolín Department of Signal Theory and Communications, Universidad Carlos III de Madrid
  • Autor: Syaheerah Binti Lebai Lutfi UPM
  • Autor: Juan Manuel Montero Martinez UPM
  • Autor: Roberto Barra Chicote UPM
  • Autor: Juan Manuel Lucas Cuesta UPM
Grupos de investigación, Departamentos, Centros e Institutos de I+D+i relacionados
  • Creador: Grupo de Investigación: Grupo de Tecnología del Habla
  • Departamento: Ingeniería Electrónica