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FMLLR

Feature space Maximum Likelihood Linear Regression (fMLLR) is a widely used technique for speaker adaptation in HMM-based speech recognition.
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Papers overview

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2016
2016
In this paper, we propose the use of deep neural networks (DNN) as a regression model to estimate feature-space maximum… 
Highly Cited
2016
Highly Cited
2016
In this paper, we propose a DNN adaptation technique, where the i-vector extractor is replaced by a Sequence Summarizing Neural… 
Highly Cited
2013
Highly Cited
2013
Deep Convolutional Neural Networks (CNNs) are more powerful than Deep Neural Networks (DNN), as they are able to better reduce… 
2012
2012
In this work we deal with the problem of small amount of data when estimating a feature transformation for the speaker adaptation… 
2009
2009
This paper deals with a combination of basic adaptation techniques of Hidden Markov Model used in the speech recognition. The… 
2008
2008
Feature space maximum likelihood linear regression (fMLLR) is a widely used technique for speaker adaptation in HMM-based speech…