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ICASSP
2010
IEEE
13 years 4 months ago
A novel estimation of feature-space MLLR for full-covariance models
In this paper we present a novel approach for estimating featurespace maximum likelihood linear regression (fMLLR) transforms for full-covariance Gaussian models by directly maxim...
Arnab Ghoshal, Daniel Povey, Mohit Agarwal, Pinar ...
ICMCS
2005
IEEE
139views Multimedia» more  ICMCS 2005»
13 years 10 months ago
Rapid Feature Space Speaker Adaptation for Multi-Stream HMM-Based Audio-Visual Speech Recognition
Multi-stream hidden Markov models (HMMs) have recently been very successful in audio-visual speech recognition, where the audio and visual streams are fused at the final decision...
Jing Huang, Etienne Marcheret, Karthik Visweswaria...
ICASSP
2011
IEEE
12 years 8 months ago
Rapid feature space MLLR speaker adaptation with bilinear models
In this paper, we propose a novel method for rapid feature space Maximum Likelihood Linear Regression (FMLLR) speaker adaptation based on bilinear models. When the amount of adapt...
Shilei Zhang, Peder A. Olsen, Yong Qin
ICASSP
2009
IEEE
13 years 2 months ago
A new method for speaker adaptation using bilinear model
In this paper, a novel method for speaker adaptation using bilinear model is proposed. Bilinear model can express both characteristics of speakers (style) and phonemes across spea...
Hwa Jeon Song, Yongwon Jeong, Hyung Soon Kim
ICASSP
2011
IEEE
12 years 8 months ago
Constrained discriminative mapping transforms for unsupervised speaker adaptation
Discriminative mapping transforms (DMTs) is an approach to robustly adding discriminative training to unsupervised linear adaptation transforms. In unsupervised adaptation DMTs ar...
Langzhou Chen, Mark J. F. Gales, K. K. Chin