With the development of continuous speech recognition technology, users have put forward
higher requirements in terms of speech recognition accuracy. Low-resource speech …

We describe a new approach to speech recognition, in which all Hidden Markov Model
(HMM) states share the same Gaussian Mixture Model (GMM) structure with the same …

We describe an acoustic modeling approach in which all phonetic states share a common
Gaussian Mixture Model structure, and the means and mixture weights vary in a subspace of …

Although research has previously been done on multilingual speech recognition, it has been
found to be very difficult to improve over separately trained systems. The usual approach …

Abstract Constrained Maximum Likelihood Linear Regression (CMLLR) is a speaker
adaptation method for speech recognition that can be realized as a feature-space …

Preparation of a lexicon for speech recognition systems can be a significant effort in
languages where the written form is not exactly phonetic. On the other hand, in languages …

This paper focuses on adaptable continuous space language modeling approach of
combining longer context information of recurrent neural network (RNN) with adaptation …

For most military speech datasets, only “weak” textual annotations are available meaning
that the content of the speech is known but the exact on-and offset of each word is not. This …

A large portion of the audio files distributed over the Internet or those stored in personal and
corporate media archives are in a compressed form. There exist several compression …

Constrained Maximum Likelihood Linear Regression (CMLLR) is a widely used speaker
adaptation technique in which an affine transform of the features is estimated for each …