Identifying a person by his or her voice is an important human trait most take for granted in
natural human-to-human interaction/communication. Speaking to someone over the …

A tutorial on the design and development of automatic speaker-recognition systems is
presented. Automatic speaker recognition is the use of a machine to recognize a person …

Reynolds, Douglas A., Quatieri, Thomas F., and Dunn, Robert B., Speaker Verification Using
Adapted Gaussian Mixture Models, Digital Signal Processing10 (2000), 19–41. In this paper …

This paper presents high performance speaker identification and verification systems based
on Gaussian mixture speaker models: robust, statistically based representations of speaker …

This paper presents an overview of a state-of-the-art text-independent speaker verification
system. First, an introduction proposes a modular scheme of the training and test phases of …

Starting with fingerprints more than a hundred years ago, there has been ongoing research
in biometrics. Within the last forty years face and speaker recognition have emerged as …

This paper presents a person identification system based on acoustic and visual features.
The system is organized as a set of non-homogeneous classifiers whose outputs are …

Auckenthaler, Roland, Carey, Michael, and Lloyd-Thomas, Harvey, Score Normalization for
Text-Independent Speaker Verification Systems, Digital Signal Processing10 (2000), 42–54 …

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

Support vector machines (SVMs) have proven to be a powerful technique for pattern
classification. SVMs map inputs into a high-dimensional space and then separate classes …