This paper reviews some popular speaker adaptation schemes that can be applied to
continuous density hidden Markov models. These fall into three families based on MAP …

Markov models are extremely useful as a general, widely applicable tool for many areas in
statistical pattern recognition. This unique text/reference places the formalism of Markov …

In this paper we introduce a new analytical approach to environment compensation for
speech recognition. Previous attempts at solving analytically the problem of noisy speech …

A trend in automatic speech recognition systems is the use of continuous mixture-density
hidden Markov models (HMMs). Despite the good recognition performance that these …

In recent years, considerable progress has been made in the eld of continuous speech
recognition where the predominant technology is based on hidden Markov models (HMMs) …

This thesis details the development of a model-based noise compensation technique,
Parallel Model Combination (PMC). The aim of PMC is to alter the parameters of a set of …

In this study, we have examined the acoustic characteristics of whispered speech and
addressed some of the issues involved in recognition of whispered speech used for …

Probabilistic approaches can offer satisfactory solutions to source separation with a single
channel, provided that the models of the sources match accurately the statistical properties …

Due to the profound differences between acoustic characteristics of neutral and whispered
speech, the performance of traditional automatic speech recognition (ASR) systems trained …

The paper considers the task of recognizing phonemes and words from a singing input by
using a phonetic hidden Markov model recognizer. The system is targeted to both …