In this paper, we propose dictionary attacks against speaker verification-a novel attack vector that aims to match a large fraction of population by chance. We introduce generic formulation the can be used with various speech representations and threat models. The attacker uses adversarial optimization maximize raw similarity embeddings between seed sample proxy population. resulting master voi...

This paper concerns an effective text-dependent speaker verification method to increase the performance of speaker verification. While various speaker verification methods have already been developed, their effectiveness has not yet been formally proven in terms of achieving acceptable performance level. This paper proposes a weighted likelihood procedure along with a confidence measure based o...

A speaker verification system automatically accepts or rejects a claimed identity of a speaker based on a speech sample. Recently, a major progress was made in speaker verification which leads to mass market adoption, such as in smartphone and in online commerce for user authentication. A major concern when deploying speaker verification technology is whether a system is robust against spoofing...

In this paper we present a novel technique for combining a Speaker Verification System with an Utterance Verification System in a Speaker Authentication system over the telephone. Speaker Verification consists in accepting or rejecting the claimed identity of a speaker by processing samples of his/her voice. Usually, these systems are based on HMM's that try to represent the characteristics of ...

Speaker Verification and Utterance Verification are examples of techniques that can be used for Speaker Authentication purposes. Speaker Verification consists of accepting or rejecting the claimed identity of a speaker by processing samples of his/her voice. Usually, these systems are based on HMM models that try to represent the characteristics of the speakers’ vocal tracts. Utterance Verifica...

The performance of text-dependent speaker verification systems degrades in noisy environment and when the true speaker utters words that are not part of the verification password. Energy-based voice activity detection (VAD) algorithms cannot distinguish between the true speaker’s speech and other background speech or between the speaker’s verification password and other words uttered by the spe...