DocumentCode :
2772547
Title :
Transformation of short-term spectral envelope of speech signal using multivariate polynomial modeling
Author :
Lehana, P.K. ; Pandey, P.C.
Author_Institution :
Dept. of Phys. & Electron., Univ. of Jammu, Jammu, India
fYear :
2011
fDate :
28-30 Jan. 2011
Firstpage :
1
Lastpage :
5
Abstract :
Speaker transformation uses a mapping between the signal parameters derived from a set of phrases spoken by two speakers to modify the speech signal of one speaker to make it perceptually similar to that of the other speaker. In spectral warping and interpolation technique, the transformation function can be estimated using lesser data, but it needs a different transformation function for each acoustic class. Earlier reported investigations have used class dependent multivariate linear regression or univariate cubic interpolation. In this paper, a technique for modifying spectral characteristics, using a multivariate polynomial modeling for source-target mapping of the spectral parameters, is presented. Harmonic plus Noise Model (HNM) has been used for analysis-synthesis because of ease of the time and frequency scaling.
Keywords :
harmonic analysis; interpolation; speech processing; analysis-synthesis; harmonic plus noise model; interpolation technique; multivariate polynomial modeling; short-term spectral envelope; signal parameters; source-target mapping; speaker transformation; spectral warping; speech signal; Acoustics; Harmonic analysis; Interpolation; Noise; Polynomials; Speech; Vectors; harmonic plus noise model; speaker transformation; spectral characteristics; speech conversion;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Communications (NCC), 2011 National Conference on
Conference_Location :
Bangalore
Print_ISBN :
978-1-61284-090-1
Type :
conf
DOI :
10.1109/NCC.2011.5734732
Filename :
5734732
Link To Document :
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