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Título:	How does noise impact speech-based emotion classification?
Autor/a:	Yang, Na; Yuan, Jianbo; Zhou, Yun; Seyfettin Demirkol, Ilker; Heinzelman, Wendi; Sturge Apple, Melissa L.
Otros autores:	Universitat Politècnica de Catalunya. Departament d'Enginyeria Telemàtica; Universitat Politècnica de Catalunya. WNG - Grup de xarxes sense fils
Abstract:	Emotion classification, Support vector machine, Thresholding fusion, Noisy speech
Abstract:	Peer Reviewed
Materia(s):	-Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Processament del senyal::Processament de la parla i del senyal acústic -Automatic speech recognition -As an essential approach to understanding human interactions -emotion classification is a vital component in the design of human-computer interaction (HCI) systems. Speech contains rich information about emotion -but the impact of noise on the classification performance is still not well studied -especially for applications used in noisy mobile environments. For an emotion classification system using support vector machine with a threshold-based fusion mechanism -we study the impact of noisy speech data on the performance of emotion classification for a standard emotion database. -Reconeixement automàtic de la parla
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Tipo de documento:	Artículo - Versión presentada Objeto de conferencia
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