Observatorio de I+D+i UPM

Memorias de investigación
Communications at congresses:
Expressive Speech Identifications based on Hidden Markov Model
Year:2009
Research Areas
  • Artificial intelligence,
  • Electronic circuits,
  • Electronic devices
Information
Abstract
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.
International
Si
Congress
International Conference on Health Informatics HEALTHINF 2009, International Joint Conference on Biomedical Engineering Systems and Technologies BIOSTEC 2009
960
Place
Porto, Portugal
Reviewers
Si
ISBN/ISSN
9789898111630
Start Date
16/01/2009
End Date
17/01/2009
From page
488
To page
494
Proceedings of the International Conference on Health Informatics HEALTHINF 2009, International Joint Conference on Biomedical Engineering Systems and Technologies BIOSTEC 2009
Participants
  • 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)
Research Group, Departaments and Institutes related
  • Creador: Grupo de Investigación: Grupo de Tecnología del Habla
  • Departamento: Ingeniería Electrónica
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