We present a novel large vocabulary OCR system, which implements a confidence-and
margin-based discriminative training approach for model adaptation of an HMM-based …

Several issues concerning the current use of speech interfaces are discussed and the
design and development of a speech interface that enables air traffic controllers to command …

A unified programming environment allows application developers to work with declarative,
procedural and service model based logic. In one aspect, instructions on a computer …

In this paper, we introduce a new class of noise robust features derived from an alternative
measure of autocorrelation representing the phase variation of speech signal frame over …

In this paper, a new hierarchical Bayesian speaker adaptation method called HMAP is
proposed that combines the advantages of three conventional algorithms, maximum a …

We consider the problem of Gaussian mixture model (GMM)-based classification of noisy
data, where the uncertainty over the data is given by a Gaussian distribution. While this …

To provide an efficient means of communication for those who cannot move muscles of the
whole body except eyes due to amyotrophic lateral sclerosis (ALS), we are developing a …

The ever-expanding volume of available audio and multimedia data has elevated
technologies related to content indexing and structuring to the forefront of research. Speaker …

Speech production errors characteristic of dysarthria are chiefly responsible for the low
accuracy of automatic speech recognition (ASR) when used by people diagnosed with the …

The ever-expanding volume of available audio and multimedia data has elevated
technologies related to content indexing and structuring to the forefront of research. Speaker …