Considerable progress has been made in speech-recognition technology over the last few
years and nowhere has this progress been more evident than in the area of large …

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 …

A study of digital speech processing, synthesis and recognition. This second edition
contains new sections on the international standardization of robust and flexible speech …

This paper describes a new model-based speaker adaptation algorithm called the
eigenvoice approach. The approach constrains the adapted model to be a linear …

Variation across talkers in the acoustic-phonetic realization of speech sounds is a pervasive
property of spoken language. The present study provides evidence that variation across …

The Handbook of Neural Computation is a practical, hands-on guide to the design and
implementation of neural networks used by scientists and engineers to tackle difficult and/or …

We have devised a new class of fast adaptation techniques for speech recognition, based
on prior knowledge of speaker variation. To obtain this prior knowledge, one applies …

Recent advances in automatic speech recognition are accomplished by designing a plug-in
maximum a posteriori decision rule such that the forms of the acoustic and language model …

By now it should not be surprising that high performance speech recognition systems can be
designed for a wide variety of tasks in many different languages. This is mainly attributed to …

One problem faced by some model adaptation techniques is that only the parameters of
those models which are observed in the adaptation data are updated. Hence, with small …