Remote speaker verification services typically rely on the system to have access to the users recordings, or features derived from them, and also a model of the users voice. This conventional scheme raises several privacy concerns. In this work, we address this privacy problem in the context of a speaker verification system using a factor analysis based front-end extractor, the so-called i-vect...

In the present work we discuss the results, which our speaker verification system, WCL-1, obtained in the 2003 NFI/TNO Forensic Speaker Recognition Evaluation. These results, together with the ones obtained in the 2003 NIST Speaker Recognition Evaluation, give opportunity for in depth analysis of the various aspects of real-world application of the speaker recognition technology. Based on the d...

In this paper, a discriminative method is proposed for speaker verification. An utterance can be mapped into a matrix by computing the difference to a codebook, and then expand the mapped matrix to a vector as the input of support vector machines for speaker verification. The Gaussian mixture modelbased method is also constructed by utilizing its nature. The mapped vector indicates the utteranc...

In this work a traditional MFCC based speaker verification system is combined with a prosody based one to determine whether simple short-term prosodic information is useful for improving current state-of-theart ASV. The traditional speaker verification system based in spectral information has an EER of 3.85% when using 1024 mixtures. The prosody based system uses short-term intonation and energ...

We discuss in this paper the conceptual and compu­ tational framework.of informatzon theory for decision making in speaker verification. The proposed approach departs itself from other conventional scoring models for speaker verification as the first approach takes into account the quantity of 'surprise' or information con­ tent. We compare the new approach with a widely used log-likelihood nor...

The cascading appearance-based (CAB) feature extraction technique has established itself as the state of the art in extracting dynamic visual speech features for speech recognition. In this paper, we will focus on investigating the effectiveness of this technique for the related speaker verification application. By investigating the speaker verification ability of each stage of the cascade we w...