A kernel trick for sequences applied to text-independent speaker verification systems

A kernel trick for sequences applied to text-independent speaker verification systems

This paper present a principled SVM based speaker verification system. We propose a new framework and a new sequence kernel that can make use of any Mercer kernel at the frame level. An extension of the sequence kernel based on the Max operator is also proposed. The new system is compared to state-of-the-art GMM and other SVM based systems found in the literature on the Banca and Polyvar databa...

A Max Kernel For Text-Independent Speaker Verification Systems

In this paper, we present a principled SVM based speaker verification system. A general approach to compute two sequences of frames is developed that enables the use of any kernel at the frame level. An extension of this approach using the Max operator is then proposed. The new system is compared to state-of-the-art GMM and other SVM based systems found in the literature on the Polyvar database...

Kernel Methods for Text-Independent Speaker Verification

Gaussian selection applied to text-independent speaker verification

Fast speaker verification systems can be realised by reducing the computation associated with searching of mixture components within the statistical model such as a Gaussian mixture model, GMM. Several improvements regarding computational efficiency have already been proposed for speaker verification. In this paper, the technique of Gaussian selection is applied to the speaker verification task...

Text-independent Speaker Verification

This paper describes one of the biometric systems text-independent speaker verification. It discusses the different stages of speaker verification in text-independent systems as well mentioning other systems for speaker verification. Each stage has its subparts, so those parts are discussed as well. The methods for the speaker-verification are displayed in the article. Feature extraction from t...