| dc.creator | Orozco Arroyave, Juan Rafael | |
| dc.creator | Henríquez Rodríguez, Patricia | |
| dc.creator | Alonso Hernández, Jesús Bernardino | |
| dc.creator | Ferrer Ballester, Miguel Ángel | |
| dc.creator | Travieso González, Carlos Manuel | |
| dc.date | 2023-07-08T01:43:51Z | |
| dc.date | 2023-07-08T01:43:51Z | |
| dc.date | 2013 | |
| dc.date.accessioned | 2024-04-23T14:12:30Z | |
| dc.date.available | 2024-04-23T14:12:30Z | |
| dc.identifier | P. Henríquez Rodríguez, J. B. Alonso Hernández, M. A. Ferrer Ballester, C. M. Travieso González, and J. R. Orozco-Arroyave, “Global Selection of Features for Nonlinear Dynamics Characterization of Emotional Speech,” Cognit. Comput., vol. 5, no. 4, pp. 517–525, 2013, doi: 10.1007/s12559-012-9157-0. | |
| dc.identifier | 1866-9956 | |
| dc.identifier | https://hdl.handle.net/10495/35812 | |
| dc.identifier | 10.1007/s12559-012-9157-0 | |
| dc.identifier | 1866-9964 | |
| dc.identifier.uri | https://repositorioslatinoamericanos.uchile.cl/handle/2250/9229247 | |
| dc.description | ABSTRACT: This paper proposes the application of measures based on nonlinear dynamics for emotional speech characterization. Measures such as mutual information, dimension correlation, entropy correlation, Shannon’s entropy, Lempel–Ziv complexity and Hurst exponent are extracted from the samples of a database of emotional speech. Then, summary statistics such as mean, standard deviation, skewness and kurtosis are applied on the extracted measures. Experiments were conducted on the Berlin emotional speech database for a three-class problem (neutral, fear and anger as emotional states). Feature selection is accomplished and a methodology is proposed to find the best features. In order to evaluate the discrimination ability of the selected features, a neural network classifier is used. The global success rate is 93.78 ± 3.18 %. | |
| dc.description | COL0044448 | |
| dc.format | 9 | |
| dc.format | application/pdf | |
| dc.format | application/pdf | |
| dc.language | eng | |
| dc.publisher | Springer | |
| dc.publisher | Grupo de Investigación en Telecomunicaciones Aplicadas (GITA) | |
| dc.publisher | Nueva York, Estados Unidos | |
| dc.relation | Cognit. Comput. | |
| dc.rights | info:eu-repo/semantics/openAccess | |
| dc.rights | http://creativecommons.org/licenses/by-nc-nd/2.5/co/ | |
| dc.rights | http://purl.org/coar/access_right/c_abf2 | |
| dc.rights | https://creativecommons.org/licenses/by-nc-nd/4.0/ | |
| dc.subject | Nonlinear Dynamics | |
| dc.subject | Dinámicas no Lineales | |
| dc.subject | Expressed Emotion | |
| dc.subject | Emoción Expresada | |
| dc.subject | Expressed Emotion | |
| dc.subject | Neural networks | |
| dc.subject | Redes de neuronas | |
| dc.subject | http://aims.fao.org/aos/agrovoc/c_37467 | |
| dc.title | Global Selection of Features for Nonlinear Dynamics Characterization of Emotional Speech | |
| dc.type | info:eu-repo/semantics/article | |
| dc.type | info:eu-repo/semantics/publishedVersion | |
| dc.type | http://purl.org/coar/resource_type/c_2df8fbb1 | |
| dc.type | https://purl.org/redcol/resource_type/ART | |
| dc.type | Artículo de investigación | |
