Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Jing Shaoling"'
Autor:
Jing, Shaoling, Mao, Xia, Chen, Lijiang, Comes, Maria Colomba, Mencattini, Arianna, Raguso, Grazia, Ringeval, Fabien, Schuller, Björn, Natale, Corrado Di, Martinelli, Eugenio
Publikováno v:
In Speech Communication November 2018 104:66-72
Publikováno v:
In Digital Signal Processing January 2018 72:216-231
Publikováno v:
IET Biometrics. 8:168-176
Dimensional emotion estimation (e.g. arousal and valence) from spontaneous and realistic expressions has drawn increasing commercial attention. However, the application of dimensional emotion estimation technology remains a challenge due to issues su
Autor:
Fabien Ringeval, Arianna Mencattini, Grazia Raguso, Björn Schuller, Xia Mao, Lijiang Chen, Corrado Di Natale, Maria Colomba Comes, Jing Shaoling, Eugenio Martinelli
Publikováno v:
Speech Communication
Speech Communication, Elsevier : North-Holland, 2018, 104, pp.66-72. ⟨10.1016/j.specom.2018.09.006⟩
Speech Communication, Elsevier : North-Holland, 2018, 104, pp.66-72. ⟨10.1016/j.specom.2018.09.006⟩
International audience; Time-continuous emotion estimation (e. g., arousal and valence) from spontaneous speech expressions has recently drawn increasing commercial attention. However, real-life applications of emotion recognition technology require
Publikováno v:
Digital Signal Processing. 72:216-231
Emotion-related feature extraction is a challenging task in speech emotion recognition. Due to the lack of discriminative acoustic features, classical approaches based on traditional acoustic features could not provide satisfactory performances. This
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