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Please use this identifier to cite or link to this item: http://hdl.handle.net/10119/16963

Title: Comparison of glottal source parameter values in emotional vowels
Authors: Li, Yongwei
Tao, Jianhua
Liu, Bin
Erickson, Donna
Akagi, Masato
Keywords: Glottal source
emotional vowel analysis
ARX-LF model
Issue Date: 2020-10
Publisher: International Speech Communication Association
Magazine name: Proc. InterSpeech2020
Start page: 4103
End page: 4107
DOI: 10.21437/Interspeech.2020-1536
Abstract: Since glottal source plays an important role for expressing emotions in speech, it is crucial to compare a set of glottal source parameter values to find differences in these expressions of emotions for emotional speech recognition and synthesis. This paper focuses on comparing a set of glottal source parameter values among varieties of emotional vowels /a/ (joy, neutral, anger, and sadness) using an improved ARX-LF model algorithm. The set of glottal source parameters included in the comparison were T_p, T_e, T_a, E_e, and F_0(1/T_0) in the LF model; parameter values were divided into 5 levels according to that of neutral vowel. Results showed that each emotion has its own levels for each set of the glottal source parameter value. These findings could be used for emotional speech recognition and synthesis.
Rights: Copyright (C) 2020 International Speech Communication Association. Yongwei Li, Jianhua Tao, Bin Liu, Donna Erickson, and Masato Akagi, Proc. InterSpeech2020, 2020, pp.4103-4107. http://dx.doi.org/10.21437/Interspeech.2020-1536
URI: http://hdl.handle.net/10119/16963
Material Type: publisher
Appears in Collections:b11-1. 会議発表論文・発表資料 (Conference Papers)

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