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ICASSP
2011
IEEE
12 years 8 months ago
Structural MAP adaptation in GMM-supervector based speaker recognition
In recent years, adaptation techniques have been given special focus in speaker recognition tasks, mainly targeting speaker and session variation disentangling under the Maximum a...
Marc Ferras, Koichi Shinoda, Sadaoki Furui
ICASSP
2010
IEEE
13 years 5 months ago
Fishervioce: A discriminant subspace framework for speaker recognition
We propose a new framework for speaker recognition, referred as Fishervoice. It includes the design of a feature representation known as the structured score vector (SSV), which r...
Zhifeng Li, Weiwu Jiang, Helen M. Meng
TASLP
2002
96views more  TASLP 2002»
13 years 4 months ago
MAP speaker adaptation of state duration distributions for speech recognition
This paper presents a framework for maximum a posteriori (MAP) speaker adaptation of state duration distributions in hidden Markov models (HMM). Four key issues of MAP estimation, ...
Néstor Becerra Yoma, Jorge Silva Sán...
ICBA
2004
Springer
197views Biometrics» more  ICBA 2004»
13 years 10 months ago
Maximum Likelihood and Maximum a Posteriori Adaptation for Distributed Speaker Recognition Systems
We apply the ETSI’s DSR standard to speaker verification over telephone networks and investigate the effect of extracting spectral features from different stages of the ETSI...
Chin-Hung Sit, Man-Wai Mak, Sun-Yuan Kung
ICASSP
2010
IEEE
13 years 5 months ago
Aspect-model-based reference speaker weighting
We propose an aspect-model-based reference speaker weighting. The main idea of the approach is that the adapted model is a linear combination of a set of reference speakers like r...
Seongjun Hahm, Yuichi Ohkawa, Masashi Ito, Motoyuk...