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

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 Based Text-independnent Speaker Verification

The goal of a person authentication system is to authenticate the claimed identity of a user. When this authentication is based on the voice of the user, without respect of what the user exactly said, the system is called a text-independent speaker verification system. Speaker verification systems are increasingly often used to secure personal information, particularly for mobile phone based ap...

Discrmininant Models for Text-independent Speaker Verification

This thesis addresses text-independent speaker verification from a machine learning point of view. We use the machine learning framework to better define the problem and to develop new unbiased performance measures and statistical tests to compare objectively new approaches. We propose a new interpretation of the state-of-the-art Gaussian Mixture Model based system and show that they are discri...

Using Exciting and Spectral Envelope Information and Matrix Quantization for Improvement of the Speaker Verification Systems

Speaker verification from talking a few words of sentences has many applications. Many methods as DTW, HMM, VQ and MQ can be used for speaker verification. We applied MQ for its precise, reliable and robust performance with computational simplicity. We also used pitch frequency and log gain contour for further improvement of the system performance.

Kernel Methods for Text-Independent Speaker Verification