Non-linear Dynamics Characterization from Wavelet Packet Transform for Automatic Recognition of Emotional Speech
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 classificatio...
- Autores:
-
Vásquez Correa, Juan Camilo
Orozco Arroyave, Juan Rafael
Vargas Bonilla, Jesús Francisco
Arias Londoño, Julian D.
Noth, Elmar
- Tipo de recurso:
- Article of investigation
- Fecha de publicación:
- 2016
- Institución:
- Universidad de Antioquia
- Repositorio:
- Repositorio UdeA
- Idioma:
- eng
- OAI Identifier:
- oai:bibliotecadigital.udea.edu.co:10495/35453
- Acceso en línea:
- https://hdl.handle.net/10495/35453
- Palabra clave:
- 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
- Rights
- openAccess
- License
- https://creativecommons.org/licenses/by/4.0/
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| dc.title.spa.fl_str_mv |
Non-linear Dynamics Characterization from Wavelet Packet Transform for Automatic Recognition of Emotional Speech |
| title |
Non-linear Dynamics Characterization from Wavelet Packet Transform for Automatic Recognition of Emotional Speech |
| spellingShingle |
Non-linear Dynamics Characterization from Wavelet Packet Transform for Automatic Recognition of Emotional Speech 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 |
| title_short |
Non-linear Dynamics Characterization from Wavelet Packet Transform for Automatic Recognition of Emotional Speech |
| title_full |
Non-linear Dynamics Characterization from Wavelet Packet Transform for Automatic Recognition of Emotional Speech |
| title_fullStr |
Non-linear Dynamics Characterization from Wavelet Packet Transform for Automatic Recognition of Emotional Speech |
| title_full_unstemmed |
Non-linear Dynamics Characterization from Wavelet Packet Transform for Automatic Recognition of Emotional Speech |
| title_sort |
Non-linear Dynamics Characterization from Wavelet Packet Transform for Automatic Recognition of Emotional Speech |
| dc.creator.fl_str_mv |
Vásquez Correa, Juan Camilo Orozco Arroyave, Juan Rafael Vargas Bonilla, Jesús Francisco Arias Londoño, Julian D. Noth, Elmar |
| dc.contributor.author.none.fl_str_mv |
Vásquez Correa, Juan Camilo Orozco Arroyave, Juan Rafael Vargas Bonilla, Jesús Francisco Arias Londoño, Julian D. Noth, Elmar |
| dc.contributor.researchgroup.spa.fl_str_mv |
Grupo de Investigación en Telecomunicaciones Aplicadas (GITA) |
| dc.subject.decs.none.fl_str_mv |
Reconocimiento Facial Facial Recognition Reconocimiento de Voz Voice Recognition |
| topic |
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 |
| dc.subject.lemb.none.fl_str_mv |
Sistemas de procesamiento de la voz Speech processing systems Linguistica computacional Computational linguistics |
| dc.subject.proposal.spa.fl_str_mv |
Non-linear Dynamics Non-linear speech processing Wavelet Packet Transform |
| description |
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. |
| publishDate |
2016 |
| dc.date.issued.none.fl_str_mv |
2016 |
| dc.date.accessioned.none.fl_str_mv |
2023-06-13T13:39:45Z |
| dc.date.available.none.fl_str_mv |
2023-06-13T13:39:45Z |
| dc.type.spa.fl_str_mv |
Artículo de investigación |
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http://purl.org/coar/resource_type/c_2df8fbb1 |
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http://purl.org/coar/version/c_970fb48d4fbd8a85 |
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info:eu-repo/semantics/article |
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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 |
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2190-3018 |
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https://hdl.handle.net/10495/35453 |
| dc.identifier.doi.none.fl_str_mv |
10.1007/978-3-319-28109-4_20 |
| dc.identifier.eissn.none.fl_str_mv |
2190-3026 |
| identifier_str_mv |
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 2190-3018 10.1007/978-3-319-28109-4_20 2190-3026 |
| url |
https://hdl.handle.net/10495/35453 |
| dc.language.iso.spa.fl_str_mv |
eng |
| language |
eng |
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207 |
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199 |
| dc.relation.citationvolume.spa.fl_str_mv |
48 |
| dc.relation.ispartofjournal.spa.fl_str_mv |
Smart Innovation, Systems and Technologies |
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https://creativecommons.org/licenses/by/4.0/ |
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Springer |
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Basilea, Suiza |
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Vásquez Correa, Juan CamiloOrozco Arroyave, Juan RafaelVargas Bonilla, Jesús FranciscoArias Londoño, Julian D.Noth, ElmarGrupo de Investigación en Telecomunicaciones Aplicadas (GITA)2023-06-13T13:39:45Z2023-06-13T13:39:45Z2016Vásquez-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_202190-3018https://hdl.handle.net/10495/3545310.1007/978-3-319-28109-4_202190-3026ABSTRACT: 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.Departamento Administrativo de Ciencia, Tecnología e Innovación, COLCIENCIASCOL00444488application/pdfengSpringerBasilea, Suizahttps://creativecommons.org/licenses/by/4.0/http://creativecommons.org/licenses/by/2.5/co/info:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2Non-linear Dynamics Characterization from Wavelet Packet Transform for Automatic Recognition of Emotional SpeechArtículo de investigaciónhttp://purl.org/coar/resource_type/c_2df8fbb1https://purl.org/redcol/resource_type/ARThttp://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionReconocimiento FacialFacial RecognitionReconocimiento de VozVoice RecognitionSistemas de procesamiento de la vozSpeech processing systemsLinguistica computacionalComputational linguisticsNon-linear DynamicsNon-linear speech processingWavelet Packet Transform20719948Smart Innovation, Systems and TechnologiesPrograma de jóvenes investigadores e innovadores 2014RoR:048jthh02PublicationORIGINALJuanVasquez_2016_NonlinearDynamicsCharacterization.pdfJuanVasquez_2016_NonlinearDynamicsCharacterization.pdfArtículo de investigaciónapplication/pdf480922https://bibliotecadigital.udea.edu.co/bitstreams/9d29daf6-0c3a-4127-930c-253a43b99978/downloadb1e836a53b05f74f559d35accf488e31MD51trueAnonymousREADCC-LICENSElicense_rdflicense_rdfapplication/rdf+xml; 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