A major problem with most speaker adaptation schemes is that they rely on the speaker
providing at least one example of each acoustic unit (word, phone, triphone, etc.) in the …

In the last three decades of the 20th Century, research in speech recognition has been
intensively carried out worldwide, spurred on by advances in signal processing, algorithms …

This thesis describes a novel approach to text-to-speech synthesis (TTS) based on hidden
Markov model (HMM). There have been several attempts proposed to utilize HMM for …

Models observations of phoneme-based speech units as clusters of trajectories in their
parameter space. The trajectories are modeled by a mixture of state sequences of multi …

Current sign language recognition systems are still designed for signer-dependent
operation only and thus suffer from the problem of interpersonal variability in production …

The performance and robustness of a speech recognition system can be improved by
adapting the speech models to the speaker, the channel and the task. In continuous mixture …

In speaker verification over public telephone networks, utterances can be obtained from
different types of handsets. Different handsets may introduce different degrees of distortion …

In this paper, methodologies for effective speech recognition are considered along with
evaluations of an NRL speech in noise corpus entitled SPINE. When speech is produced in …

Major progress is being recorded regularly on both the technology and exploitation of
Automatic Speech Recognition (ASR) and spoken language systems. However, there are …

The paper presents a fast and incremental speaker adaptation method called MAP/VFS,
which combines maximum a posteriori (MAP) estimation, or in other words Bayesian …