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How does noise impact speech-based emotion classification?
Yang, Na; Yuan, Jianbo; Zhou, Yun; Seyfettin Demirkol, Ilker; Heinzelman, Wendi; Sturge Apple, Melissa L.
Universitat Politècnica de Catalunya. Departament d'Enginyeria Telemàtica; Universitat Politècnica de Catalunya. WNG - Grup de xarxes sense fils
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
info:eu-repo/semantics/submittedVersion
info:eu-repo/semantics/conferenceObject
         

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