This paper examines the application of linear transformations for speaker and environmental
adaptation in an HMM-based speech recognition system. In particular, transformations that …

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

A complete overview of distant automatic speech recognition The performance of
conventional Automatic Speech Recognition (ASR) systems degrades dramatically as soon …

When performing speaker adaptation, there are two conflicting requirements. First, the
speaker transform must be powerful enough to represent the speaker. Second, the transform …

Speech recognition is a problem of pattern matching. Recorded speech patterns are treated
as sequences of electrical signals. A recognition process involves classifying segments of …

In speaker recognition applications, channel variability is a major cause of errors.
Techniques in the feature, model and score domains have been applied to mitigate channel …

(57) ABSTRACT A fast on-line automatic speaker/environment adaptation suitable for
speech/speaker recognition system, method and computer program product are presented …

Vocal tract normalization (VTN) is a widely used speaker normalization technique which
reduces the effect of different lengths of the human vocal tract and results in an improved …

Gaussian Mixture Models (GMMs) and Radial Basis Function (RBF) networks are two of the
promising neural models for pattern classification. In this laboratory exercise, your task is to …

In this paper, we investigate a technique consisting of mean subtraction, variance
normalization and time sequence filtering. Unlike other techniques, it applies auto …