Double Fourier analysis for Emotion Identification in Voiced Speech

Vista sencilla de ítem
dc.contributor.authorSierra-Sosa, D.
dc.contributor.authorBastidas, M.
dc.contributor.authorOrtiz, P.D.
dc.contributor.authorQuintero, O.L.
dc.contributor.departmentUniversidad EAFIT. Departamento de Cienciasspa
dc.contributor.researchgroupModelado Matemáticospa
dc.creatorSierra-Sosa, D.
dc.creatorBastidas, M.
dc.creatorOrtiz, P.D.
dc.creatorQuintero, O.L.
dc.date.accessioned2021-04-12T14:11:48Z
dc.date.available2021-04-12T14:11:48Z
dc.date.issued2016-01-01
dc.description.abstractWe propose a novel analysis alternative, based on two Fourier Transforms for emotion recognition from speech. Fourier analysis allows for display and synthesizes different signals, in terms of power spectral density distributions. A spectrogram of the voice signal is obtained performing a short time Fourier Transform with Gaussian windows, this spectrogram portraits frequency related features, such as vocal tract resonances and quasi-periodic excitations during voiced sounds. Emotions induce such characteristics in speech, which become apparent in spectrogram time-frequency distributions. Later, the signal time-frequency representation from spectrogram is considered an image, and processed through a 2-dimensional Fourier Transform in order to perform the spatial Fourier analysis from it. Finally features related with emotions in voiced speech are extracted and presented.eng
dc.identifierhttps://eafit.fundanetsuite.com/Publicaciones/ProdCientif/PublicacionFrw.aspx?id=4290
dc.identifier.doi10.1088/1742-6596/705/1/012035
dc.identifier.issn17426596
dc.identifier.otherSCOPUS;2-s2.0-84978042338
dc.identifier.urihttp://hdl.handle.net/10784/27892
dc.language.isoengeng
dc.publisherIOP PUBLISHING LTD
dc.relation.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-84978042338&doi=10.1088%2f1742-6596%2f705%2f1%2f012035&partnerID=40&md5=41776c410480ac6501ade8663aa57515
dc.rightshttps://v2.sherpa.ac.uk/id/publication/issn/1742-6596
dc.sourceJournal Of Physics: Conference Series
dc.subject.keywordBiomedical engineeringeng
dc.subject.keywordFourier analysiseng
dc.subject.keywordFourier transformseng
dc.subject.keywordPower spectral densityeng
dc.subject.keywordSpectral densityeng
dc.subject.keywordSpectrographseng
dc.subject.keywordSpeech analysis, Emotion identificationseng
dc.subject.keywordEmotion recognition from speecheng
dc.subject.keywordGaussian windoweng
dc.subject.keywordQuasi-periodiceng
dc.subject.keywordShort time Fourier transformseng
dc.subject.keywordSpatial Fourier analysiseng
dc.subject.keywordTime-frequency distributionseng
dc.subject.keywordVocal tract resonances, Speech recognitioneng
dc.titleDouble Fourier analysis for Emotion Identification in Voiced Speecheng
dc.typeinfo:eu-repo/semantics/conferencePapereng
dc.typeconferencePapereng
dc.typeinfo:eu-repo/semantics/publishedVersioneng
dc.typepublishedVersioneng
dc.type.localDocumento de conferenciaspa

Archivos

Colecciones

Documentos de conferencia