JAIST Repository >
School of Information Science >
Conference Papers >
Conference Papers >

Please use this identifier to cite or link to this item: http://hdl.handle.net/10119/11930

Title: Glottal source analysis of emotional speech
Authors: Li, Yongwei
Akagi, Masato
Issue Date: 2014
Publisher: 2014 RISP International Workshop on Nonlinear Circuits, Communications and Signal Processing (NCSP'14)
Magazine name: 2014 RISP International Workshop on Nonlinear Circuits, Communications and Signal Processing (NCSP'14)
Start page: 513
End page: 516
Abstract: Emotional speech makes speech more expressive, emotional speech conversion is needed in many systerms. Analyzing of glottal source wave plays an important role in emotional speech conversion. The purpose of this paper is to analyze glottal source of emotional speech for emotional speech conversion based on the Auto-Regressive eXogenous (ARX) model combined with Liljencrant-fant (LF) model, in which the Glottal Clsure Instant (GCI) and Glottal Opening Instant (GOI) are two important parameters and greatly affect the accuracy of the ARX-LF model. Therefore, a mean-based signal method is suggested to improve the estimation accuracy of GCI, and GOI is estimated from the Hilbert envelope of LP residual. The ARXLF model with accurate GCI and GOI is applied for analysis of glottal source of emotional speech. The results show that the proposed approach improve the accuracy of glottal source wave of speech, and the different glottal source waves of different emotional speech can be obtained.
Rights: This material is posted here with permission of the Research Institute of Signal Processing Japan. Yongwei Li, Masato Akagi, 2014 RISP International Workshop on Nonlinear Circuits, Communications and Signal Processing (NCSP'14), 2014, 513-516.
URI: http://hdl.handle.net/10119/11930
Material Type: publisher
Appears in Collections:b11-1. 会議発表論文・発表資料 (Conference Papers)

Files in This Item:

File Description SizeFormat
NCSP2014_Yongwei.pdf387KbAdobe PDFView/Open

All items in DSpace are protected by copyright, with all rights reserved.

 


Contact : Library Information Section, Japan Advanced Institute of Science and Technology