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Title:
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How does noise impact speech-based emotion classification?
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Author:
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Yang, Na; Yuan, Jianbo; Zhou, Yun; Seyfettin Demirkol, Ilker; Heinzelman, Wendi; Sturge Apple, Melissa L.
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Other authors:
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Universitat Politècnica de Catalunya. Departament d'Enginyeria Telemàtica; Universitat Politècnica de Catalunya. WNG - Grup de xarxes sense fils |
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Abstract:
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Emotion classification, Support vector machine, Thresholding fusion, Noisy speech |
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Abstract:
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Peer Reviewed |
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Subject(s):
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-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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Rights:
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Document type:
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Article - Submitted version
Conference Object |
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