Emotion Identification Using Extremely Low Frequency Components of Speech Feature Contours

The investigations of emotional speech identification can be divided into two main parts, features and classifiers. In this paper, how to extract an effective speech feature set for the emotional speech identification is addressed. In our speech feature set, we use not only statistical analysis of f...

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Detalles Bibliográficos
Autores principales: Lin, Chang-Hong, Liao, Wei-Kai, Hsieh, Wen-Chi, Liao, Wei-Jiun, Wang, Jia-Ching
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2014
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4055048/
https://www.ncbi.nlm.nih.gov/pubmed/24982991
http://dx.doi.org/10.1155/2014/757121

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4055048/
https://www.ncbi.nlm.nih.gov/pubmed/24982991
http://dx.doi.org/10.1155/2014/757121

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