Memorias de investigación
Ponencias en congresos:
Acoustic Emotion Recognition using Dynamic Bayesian Networks and Multi-Space Distributions
Año:2009
Áreas de investigación
  • Inteligencia artificial,
  • Circuitos electrónicos,
  • Dispositivos electrónicos
Datos
Descripción
In this paper we describe the acoustic emotion recognition system built at the Speech Technology Group of the Universidad Politecnica de Madrid (Spain) to participate in the INTERSPEECH 2009 Emotion Challenge. Our proposal is based on the use of a Dynamic Bayesian Network (DBN) to deal with the temporal modelling of the emotional speech information. The selected features (MFCC, F0, Energy and their variants) are modelled as different streams, and the F0 related ones are integrated under a Multi Space Distribution (MSD) framework, to properly model its dual nature (voiced/unvoiced). Experimental evaluation on the challenge test set, show a 67.06% and 38.24% of unweighted recall for the 2 and 5-classes tasks respectively. In the 2-class case, we achieve similar results compared with the baseline, with a considerable less number of features. In the 5-class case, we achieve a statistically significant 6.5% relative improvement. Index Terms: automatic emotion recognition, multi-space probability distribution, dynamic bayesian networks, emotion challenge
Internacional
Si
Nombre congreso
10th Annual Conference of the International Speech Communication Association, Interspeech 2009
Tipo de participación
960
Lugar del congreso
Brighton UK.
Revisores
Si
ISBN o ISSN
1990-9772
DOI
Fecha inicio congreso
06/09/2009
Fecha fin congreso
10/09/2009
Desde la página
336
Hasta la página
339
Título de las actas
Proceedings of 10th Annual Conference of the International Speech Communication Association, Interspeech 2009
Esta actividad pertenece a memorias de investigación
Participantes
Grupos de investigación, Departamentos, Centros e Institutos de I+D+i relacionados
  • Creador: Grupo de Investigación: Grupo de Tecnología del Habla
  • Departamento: Ingeniería Electrónica