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Please use this identifier to cite or link to this item: http://hdl.handle.net/10119/18111

Title: Commonalities of Glottal Sources and Vocal Tract Shapes Among Speakers in Emotional Speech
Authors: Li, Yongwei
Sakakibara, Ken-Ichi
Morikawa, Daisuke
Akagi, Masato
Keywords: emotional speech
ARX-LF model
glottal source waves
vocal tract shapes
Issue Date: 2018-09-11
Publisher: Springer Nature
Magazine name: Lecture Notes in Computer Science
Volume: 10733
Start page: 24
End page: 34
DOI: 10.1007/978-3-030-00126-1_3
Abstract: Discussion on commonalities of the glottal source waves and vocal tract shapes among speakers in emotional-speech production can help us to carry out further speech processing from the speech-production point of view. This requires accurate and independent measurement of glottal source waves and vocal tract shapes. Although magnetic resonance imaging and electromagnetic articulography can help achieve this requires, they are time consuming and costly. This paper explores the commonalities of the glottal source waves and vocal tract shapes among speakers in emotional speech based on a source-filter model. With the help of the proposed precise estimation algorithm, the glottal source waves and vocal tract shapes of emotional voices (vowel:/a/) were estimated, in which the emotional speech with four basic emotional speaking styles (neutral, joy, anger and sad) were uttered by four different speakers. The results are as follows. When compared with the spectra tilts of glottal source waves of the neutral emotion, (1) those of anger and joy increased, and that of sad decreased in the 200- to 700-Hz frequency range; (2) that of anger increased, but that of joy decreased, and that of sad was the same as that of neutral in 700- to 2000-Hz range; (3) all spectral tilts had the same tendency over 2000 Hz. For front vocal tract shapes, the area function of anger was the largest, that of sad was smallest, and those of joy and neutral were in the middle.
Rights: Copyright (C) 2018 Springer Nature Switzerland AG. This is the author-created version of Springer, Yongwei Li, Ken-Ichi Sakakibara, Daisuke Morikawa & Masato Akagi, Lecture Notes in Computer Science, 10733, 2018, 24-34. The final publication is available at http://link.springer.com, https://doi.org/10.1007/978-3-030-00126-1_3
URI: http://hdl.handle.net/10119/18111
Material Type: author
Appears in Collections:b10-1. 雑誌掲載論文 (Journal Articles)

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