Speech recognition in noisy conditions is a major challenge for computer systems, but the
human brain performs it routinely and accurately. Automatic speech recognition (ASR) …

Dynamic Programming (DP) algorithm has been studied from 1940s and successfully
applied to pattern recognition fields such as continuous speech recognition, hand writing …

Exemplar based recognition systems are characterized by the fact that, instead of
abstracting large amounts of data into compact models, they store the observed data …

In speech recognition, phonemes have demonstrated their efficacy to model the words of a
language. While they are well defined for languages, their extension to human actions is not …

In this paper we present a number of improvements that were recently made to the template
based speech recognition system developed at ESAT. Combining these improvements …

This paper presents a new architecture for automatic continuous speech recognition called
HEAR-Hybrid Episodic-Abstract speech Recognizer. HEAR relies on both parametric …

We propose a maximum likelihood method for selecting template representatives, and in
order to include more information in the selected template representatives, we further …

This thesis investigates the problem of using nearest-neighbor based non-parametric
methods for performing multi-class class-conditional probability estimation. The methods …

Today's world is in search of a better easier life at every step, humans crave for things which
can be done in least span of time and with pretty much ease. So here we aim to make a …

We address the problem of automatic segmentation of the unit database in unit-selection
based TTS and propose template based forced alignment segmentation in the one-pass …