In Speaker verification task, it is necessary to calculate the performance of the speaker verification system; there are many systems available for the speaker verification task which uses the different type of modeling schemes like generative modeling and discriminative modeling. We are using discriminative modeling with the help of Support vector machine for speaker verification task. We prop...

The focus of this chapter is on facilities and network access-control applications of speaker recognition. Speech processing is a diverse field with many applications. Figure 8.1 shows a few of these areas and how speaker recognition relates to the rest of the field. This chapter will emphasize the speaker recognition applications shown in the boxes of Figure 8.1. Speaker recognition encompasse...

Dealing with the effect of vocal ageing on speaker verification is an important challenge. In this paper, a new approach to improving speaker verification performance in the presence of long-term ageing is presented. Analogous to eigenchannel compensation, the proposed eigenageing compensation method operates by adapting a speaker model to a test sample based on a predetermined ageing subspace....

This paper examines combining both relevance MAP and subspace speaker adaptation processes to train GMM speaker models for use in speaker verification systems with a particular focus on short utterance lengths. The subspace speaker adaptation method involves developing a speaker GMM mean supervector as the sum of a speaker-independent prior distribution and a speaker dependent offset constraine...

We explore how intrinsic variations (those associated with the speaker rather than the recording environment) affect textindependent speaker verification performance. In a previous paper we introduced the SRI-FRTIV corpus and provided speaker verification results using a Gaussian mixture model (GMM) system on telephone-channel speech. In this paper we explore the use of other speaker verificati...

Speaker verification involves the determination of whether or not a test utterance belongs to a specific reference speaker. The utterance is either accepted as belonging to the reference speaker or rejected as belonging to an imposter. Speaker verification has great potential for security applications, such as physical access control, computer data access control, and automatic telephone transa...

Conventional speaker verification systems utilize information from different feature representations by means of fusion. In this paper, we propose an alternative technique which achieves a similar effect but utilizes a more effective feature selection technique.The underlying assumption of the method is that different speakers may be better represented, and hence better verified, in different f...

Speaker verification is the process of accepting or rejecting claimed identity in terms of its sound features. A speaker verification system can be used for numerous security systems, including bank account accessing, getting to security points, criminology and etc. When a speaker verification system wants to check the identity of individuals remotely, it confronts problems such as noise effect...

Shifted delta cepstral (SDC) features, obtained by concatenating delta cepstral features across multiples speech frames, were recently reported to produce superior performance to delta cepstral features in language and speaker recognition systems. In this paper, the use of SDC features in a speaker verification experiment is reported. Mutual information between SDC features and identity of a sp...