Human Abnormal Behavior Impact on Speaker Verification Systems

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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.

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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.

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Detecting Goats in Speaker Verification Systems

We present a method for detecting goats in a textdependent speaker verification system using only the enrollment data. The goat detection process is based on extracting an appropriate feature from each enrollment session and ranking all the enrollment sessions in the system according to this feature. The lowest-ranking sessions, which are likely to have a high false-reject rate, are selected. W...

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Unsupervised evaluation of speaker verification systems

A method for blind estimation of DET curves for speaker verification systems is proposed. Verification error probabilities are estimated on a database where speaker identities are unknown. The database must provide a set of impostor-only tests as well as a set of mixed impostor and target tests. This method is tested on 9 speaker verification systems that were scored on the NIST 2000 database. ...

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ژورنال

عنوان ژورنال: IEEE Access

سال: 2018

ISSN: 2169-3536

DOI: 10.1109/access.2018.2854960