Por favor, use este identificador para citar o enlazar este ítem:
https://hdl.handle.net/10495/5747| Título : | Emotion Recognition from Speech with Acoustic, Non-Linear and Wavelet-based Features Extracted in Different Acoustic Conditions |
| Autor : | Vásquez Correa, Juan Camilo |
| metadata.dc.contributor.advisor: | Vargas Bonilla, Jesús Francisco |
| metadata.dc.subject.*: | Análisis acústico Procesamiento de voz no lineal Reconocimiento de emociones |
| Fecha de publicación : | 2016 |
| Citación : | Vásquez Correa, J. C. (2016). Emotion Recognition from Speech with Acoustic, Non-Linear and Wavelet-based Features Extracted in Different Acoustic Conditions (Tesis de maestría). Universidad de Antioquia, Medellín. Colombia. |
| Resumen : | ABSTRACT: In the last years, there has a great progress in automatic speech recognition. The challenge now it is not only recognize the semantic content in the speech but also the called "paralinguistic" aspects of the speech, including the emotions, and the personality of the speaker. This research work aims in the development of a methodology for the automatic emotion recognition from speech signals in non-controlled noise conditions. For that purpose, different sets of acoustic, non-linear, and wavelet based features are used to characterize emotions in different databases created for such purpose. |
| Aparece en las colecciones: | Maestrías de la Facultad de Ingeniería |
Ficheros en este ítem:
| Fichero | Descripción | Tamaño | Formato | |
|---|---|---|---|---|
| VasquezJuan_2016_Emotion Recognition.PDF | Tesis de maestría | 5.06 MB | Adobe PDF | Visualizar/Abrir |
Este ítem está sujeto a una licencia Creative Commons Licencia Creative Commons
