FMLLR

When an automatic speech recognition (ASR) system is deployed for real-world applications, it often receives only one utterance… Expand

In this paper, we propose the use of deep neural networks (DNN) as a regression model to estimate feature-space maximum… Expand

Long Short-Term Memory (LSTM) is a particular type of recurrent neural network (RNN) that can model long term temporal dynamics… Expand

The conventional short-term interval features used by the Deep Neural Networks (DNNs) lack the ability to learn longer term… Expand

Deep Convolutional Neural Networks (CNNs) are more powerful than Deep Neural Networks (DNN), as they are able to better reduce… Expand

We propose to adapt deep neural network (DNN) acoustic models to a target speaker by supplying speaker identity vectors (i… Expand

In this paper, we propose a novel representation of the FMLLR transform. This is different from the standard FMLLR in that the… Expand

One of the most utilized adaptation techniques is the feature Maximum Likelihood Linear Regression (fMLLR). In comparison with… Expand

This paper deals with a combination of basic adaptation techniques of Hidden Markov Model used in the speech recognition. The… Expand

Feature space maximum likelihood linear regression (fMLLR) is a widely used technique for speaker adaptation in HMM-based speech… Expand