This paper gives an overview of automatic speaker recognition technology, with an
emphasis on text-independent recognition. Speaker recognition has been studied actively …

This paper presents the main paradigms for speaker identification, and recent work on
missing data methods to increase robustness. The feature extraction, speaker modeling and …

(57) ABSTRACT A text-independent speaker verification system utilizes mel frequency
cepstral coefficients analysis in the feature extrac tion blocks, template modeling with vector …

A text-dependent speaker verification technique that uses a generic speaker-independent
speech recognizer for robust speaker verification, and uses the acoustical model of a …

Задача распознавания диктора по его голосу была поставлена более 40 лет тому
назад, и исследования в этой области все еще продолжаются. Решение этой задачи …

(57) ABSTRACT A Speaker recognition technique is provided that can operate within the
memory and processing constraints of existing portable computing devices. A Smaller …

In this paper, we treat the problem of combining fingerprint and speech biometric decisions
as a classifier fusion problem. By exploiting the specialist capabilities of each classifier, a …

A framework for combining support vector machines with hidden Markov models (HMM) is
given. A HMM is used with a Viterbi alignment to generate a set of subsequences of feature …

GMM is prevalent for speaker verification. It performs very well but needs a background
model to give a reference value, which greatly influences the error rate. In order to get a …

Speaker verification can be treated as a statistical hypothesis testing problem. The most
commonly used approach is the likelihood ratio test (LRT), which can be shown to be …