منابع مشابه
Learning the decision function for speaker verification
This paper explores the possibility to replace the usual thresholding decision rule of log likelihood ratios used in speaker verification systems by more complex and discriminant decision functions based for instance on Linear Regression models or Support Vector Machines. Current speaker verification systems, based on generative models such as HMMs or GMMs, can indeed easily be adapted to use s...
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Speaker identification is the computing task to identify an unknown identity based on the voice. A good speaker identification system must have a high accuracy rate to avoid invalid identity. Despite of last few decades’ efforts, accuracy rate in speaker identification is still low. In this paper, we propose a hybrid approach of unsupervised and supervised learning i.e. subtractive clustering a...
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Intraand inter-speaker information, which include acoustical, speaker style, speech rate and temporal variation, despite their critical importance for the verification of claims, still have not been captured effectively. As a result of such modeling deficiency, existing speaker verification systems generally test claimed utterances with interfacing procedures that are common to all speakers. In...
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ژورنال
عنوان ژورنال: British Dental Journal
سال: 2021
ISSN: ['0007-0610', '1476-5373']
DOI: https://doi.org/10.1038/s41415-021-3274-7