DocumentCode
2918771
Title
Spectral Conversion Based on Maximum Likelihood Estimation Considering Global Variance of Converted Parameter
Author
Toda, Tomoki ; Black, Alan W. ; Tokuda, Keiichi
Author_Institution
Language Technol. Inst., Carnegie Mellon Univ., Pittsburgh, PA, USA
Volume
1
fYear
2005
fDate
March 18-23, 2005
Firstpage
9
Lastpage
12
Keywords
Gaussian processes; maximum likelihood estimation; probability; smoothing methods; spectral analysis; speech processing; statistical analysis; Gaussian mixture model; dynamic features; global variance; maximum likelihood estimation; over-smoothing; parameter estimation; postfiltering; probability density; spectral conversion; spectral enhancement; voice transformation; Covariance matrix; Data mining; Degradation; Heuristic algorithms; Maximum likelihood estimation; Parameter estimation; Smoothing methods; Speech synthesis; Training data; Vectors;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics, Speech, and Signal Processing, 2005. Proceedings. (ICASSP '05). IEEE International Conference on
ISSN
1520-6149
Print_ISBN
0-7803-8874-7
Type
conf
DOI
10.1109/ICASSP.2005.1415037
Filename
1415037
Link To Document