The performance levels of most current speech recognizers degrade significantly when environmental noise occurs during use. Such performance degradation is mainly caused by …
BH Juang, LR Rabiner - Technometrics, 1991 - Taylor & Francis
The use of hidden Markov models for speech recognition has become predominant in the last several years, as evidenced by the number of published papers and talks at major …
JL Gauvain, CH Lee - IEEE transactions on speech and audio …, 1994 - ieeexplore.ieee.org
In this paper, a framework for maximum a posteriori (MAP) estimation of hidden Markov models (HMM) is presented. Three key issues of MAP estimation, namely, the choice of prior …
CJ Leggetter, PC Woodland - Computer speech & language, 1995 - eecs.yorku.ca
A method of speaker adaptation for continuous density hidden Markov models (HMMs) is presented. An initial speaker-independent system is adapted to improve the modelling of a …
S Young - IEEE signal processing magazine, 1996 - ieeexplore.ieee.org
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 …
R Kuhn, JC Junqua, P Nguyen… - IEEE Transactions on …, 2000 - ieeexplore.ieee.org
This paper describes a new model-based speaker adaptation algorithm called the eigenvoice approach. The approach constrains the adapted model to be a linear …
VV Digalakis, D Rtischev… - IEEE Transactions on …, 1995 - ieeexplore.ieee.org
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 …
L Lee, R Rose - IEEE Transactions on speech and audio …, 1998 - ieeexplore.ieee.org
In an effort to reduce the degradation in speech recognition performance caused by variation in vocal tract shape among speakers, a frequency warping approach to speaker …
In spite of the advances accomplished throughout the last decades, automatic speech recognition (ASR) is still a challenging and difficult task. In particular, recognition systems …