Some experiments to take care of within speaker variations in speaker verification has been performed. To get speaker variation, speaking behaviour elicitation software has been developed. It was found that if an ASV system was trained on varied speech, speaker verification on even more varied speech improved significantly.

Speaker verification is a binary classification task to determine whether a claimed speaker uttered a phrase. Current approaches to speaker verification tasks typically involve adapting a general speaker Universal Background Model (UBM), normally a Gaussian Mixture Model (GMM), to model a particular speaker. Verification is then performed by comparing the likelihoods from the speaker model to t...

Speaker verification concerns the problem of verifying whether a given utterance has been pronounced by a claimed authorized speaker. This problem is important because an accurate speaker verification system can be applied to many security applications. In this paper, we present a new algorithm for speaker verification called OSCILLO. By applying tolerance interval analysis in statistics, OSCIL...

Voice conversion, a technique to change one’s voice to sound like that of another, poses a threat to even high performance speaker verification system. Vulnerability of text-independent speaker verification systems under spoofing attack, using statistical voice conversion technique, was evaluated and confirmed in our previous work. In this paper, we further extend the study to text-dependent sp...

In this paper, we propose self-supervised speaker representation learning strategies, which comprise of a bootstrap equilibrium in the front-end and an uncertainty-aware probabilistic embedding training back-end. stage, learn representations via scheme with uniformity regularization term. back-end embeddings are estimated by maximizing mutual likelihood score between speech samples belonging to...

Traditionally, speaker authenticationhas focused on two categories of techniques: speaker verification and speaker identification. In this paper, we introduce a third category called verbal information verification (VIV) in which a claimed speaker’s utterances are verified against the key information in the speaker’s registered profile to decide whether the claimed identity should be accepted o...

Speaker verification system has gained great popularity in recent years, especially with the development of deep neural networks and Internet Things. However, security speaker based on not been well investigated. In this paper, we propose an attack to spoof state-of-the-art generalized end-to-end (GE2E) loss function for misclassifying illegal users into authentic user. Specifically, design a n...

In This paper presents an overview of a stateof-the-art text-independent speaker verification system. The objective of automatic speaker recognition is to extract, characterize and recognize the information about speaker identity. First, an introduction proposes a modular scheme of the training and test phases of a speaker verification system. Then, the most commonly speech parameterization use...

Human Voice is characteristic for an individual. The ability to recognize the speaker by his/her voice can be a valuable biometric tool with enormous commercial as well as academic potential. Commercially, it can be utilized for ensuring secure access to any system. Academically, it can shed light on the speech processing abilities of the brain as well as speech mechanism. In fact, this feature...