7 search results - page 1 / 2 » Non-parallel training for voice conversion based on FT-GMM |
ICASSP
2011
IEEE
12 years 8 months ago
2011
IEEE
This paper presents a non-parallel training algorithm for voice conversion based on feature transform Gaussian mixture model (FTGMM), which is a mixture model of joint density spa...
IEICET
2010
12 years 11 months ago
2010
ICASSP
2009
IEEE
13 years 2 months ago
2009
IEEE
This paper takes phonetic information into account for data alignment in text-independent voice conversion. Hidden Markov Models are used for representing the phonetic structure o...
INTERSPEECH
2010
12 years 11 months ago
2010
This paper describes a novel approach to voice conversion using both a joint density model and a speaker model. In voice conversion studies, approaches based on Gaussian Mixture M...
ICASSP
2008
IEEE
13 years 11 months ago
2008
IEEE
To make voice conversion usable in practical applications, the number of training sentences should be minimized. With traditional Gaussian mixture model (GMM) based techniques sma...