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https://hdl.handle.net/10495/35453
Título : | Non-linear Dynamics Characterization from Wavelet Packet Transform for Automatic Recognition of Emotional Speech |
Autor : | Vásquez Correa, Juan Camilo Orozco Arroyave, Juan Rafael Vargas Bonilla, Jesús Francisco Arias Londoño, Julian D. Noth, Elmar |
metadata.dc.subject.*: | 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 |
Fecha de publicación : | 2016 |
Editorial : | Springer |
Citación : | Vásquez-Correa, J.C., Orozco-Arroyave, J.R., Arias-Londoño, J.D., Vargas-Bonilla, J.F., Nöth, E. (2016). Non-linear Dynamics Characterization from Wavelet Packet Transform for Automatic Recognition of Emotional Speech. In: , et al. Recent Advances in Nonlinear Speech Processing. Smart Innovation, Systems and Technologies, vol 48. Springer, Cham. https://doi.org/10.1007/978-3-319-28109-4_20 |
Resumen : | 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 classification. The results indicate that the proposed approach is promising for modeling “fear-type” emotions in speech. |
metadata.dc.identifier.eissn: | 2190-3026 |
ISSN : | 2190-3018 |
metadata.dc.identifier.doi: | 10.1007/978-3-319-28109-4_20 |
Aparece en las colecciones: | Artículos de Revista en Ingeniería |
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JuanVasquez_2016_NonlinearDynamicsCharacterization.pdf | Artículo de investigación | 469.65 kB | Adobe PDF | Visualizar/Abrir |
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