2016-03-082015http://hdl.handle.net/10784/8157This work addresses the well-known classification problem in machine learning -- The goal of this study is to approach the reader to the methodological aspects of the feature extraction, feature selection and classifier performance through simple and understandable theoretical aspects and two study cases -- Finally, a very good classification performance was obtained for the emotion recognition from speechspaHeurísticaAnálisis discriminante linealTransformadas de WaveletmasterThesisinfo:eu-repo/semantics/openAccessSISTEMAS DE INFORMACIÓNREDES NEURALES (COMPUTADORES)ANÁLISIS ESPECTRALRECONOCIMIENTO AUTOMÁTICO DE LA VOZALGORITMOS GENÉTICOSEMOCIONESSISTEMAS DE RECONOCIMIENTO DE CONFIGURACIONESELECTROMIOGRAFÍASISTEMAS HOMBRE-MÁQUINANeural networks (Computer science)Spectrum analysisAutomatic speech recognitionGenetic algorithmsEmotionsPattern recognition systemsElectromyographyMan-machine systemsAcceso abierto2016-03-08Rodríguez Cadavid, Santiago