We present a corpus-based approach to speaker verification in which maximum-likelihood II
criteria are used to train a large-scale generative model of speaker and session variability …

In this paper, a lattice rescoring approach to integrating acoustic-phonetic information into
automatic speech recognition (ASR) is described. Additional information over what is used …

We propose an ensemble speaker and speaking environment modeling (ESSEM) approach
to characterizing environments in order to enhance performance robustness of automatic …

In this work, a spoken query system developed for accessing the price of agricultural
commodities in Assamese language is described. The developed system enables the user …

In this paper we present a voice command and mouth gesture based robot command
interface which is capable of controlling three degrees of freedom. The gesture set was …

Inspired by the great success of margin-based classifiers, there is a trend to incorporate the
margin concept into hidden Markov modeling for speech recognition. Several attempts …

This work focuses on the issues and the challenges in acoustic adaptation in context of on-
line children's speech recognition. When children's speech is decoded on adults' speech …

In this work, we present the development of an Assamese spoken query (SQ) system for
accessing the price of agricultural commodities. The developed system intends to make the …

Large Vocabulary Continuous Speech Recognition (LVCSR) systems decode the input
speech using diverse information sources, such as acoustic, lexical, and linguistic. Although …

This work presents a novel use of the sparse coding over redundant dictionary for fast
adaptation of the acoustic models in the hidden Markov model-based automatic speech …