263 search results - page 5 / 53 » Whole-book recognition using mutual-entropy-driven model ada... |
ICASSP
2009
IEEE
13 years 7 months ago
2009
IEEE
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...
ICASSP
2008
IEEE
14 years 4 months ago
2008
IEEE
In this paper, we present a new approach to HMM adaptation that jointly compensates for additive and convolutive acoustic distortion in environment-robust speech recognition. The ...
ICIAR
2009
Springer
14 years 2 months ago
2009
Springer
A self-adaptive Hidden Markov Model (SA-HMM) based framework is proposed for behavior recognition in this paper. In this model, if an unknown sequence cannot be classified into an...
TASLP
2002
13 years 9 months ago
2002
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, ...
ACL
2010
13 years 7 months ago
2010
We investigate a recently proposed Bayesian adaptation method for building style-adapted maximum entropy language models for speech recognition, given a large corpus of written la...