Paper Info
Title
A novel source analysis method by matching spectral characters of LF model with STRAIGHT spectrum
Abstract
This paper presents a voice source analysis method by studying the spectral characters of LF model and their representation in output speech signal. The estimation of source features is defined as the set of LF parameter whose spectrum has the most similar characters in frequency domain, including glottal formant and spectral tilt, with the corresponding characters held by the STRAIGHT spectrum of speech signal for analysis. Besides, the concept of analyzable frame is introduced to ensure the feasibility and improve the reliability of proposed method. Evaluation with synthetic speech proves this method is able to estimate the LF parameters with satisfactory precision. Furthermore, the experiment with emotional speech shows the effectiveness of proposed method in describing voice quality variety among speech with different emotions.
Year
DOI
Venue
2005
10.1007/11573548_57
ACII
Keywords
Field
DocType
novel source analysis method,emotional speech,synthetic speech,speech signal,lf parameter,straight spectrum,spectral character,source feature,lf model,voice source analysis method,output speech signal,voice quality,frequency domain,spectrum
Frequency domain,Speech synthesis,Computer science,Speech recognition,Frequency spectrum,Spectral method,Spectral analysis,Formant,Voice source,Vocal tract
Conference
Volume
ISSN
ISBN
3784
0302-9743
3-540-29621-2
Citations 
PageRank 
References 
7
0.54
5
Authors
3
Name
Order
Citations
PageRank
Zhen-Hua Ling185083.08
Yu Hu253776.69
Ren-Hua Wang334441.36