Voice verification using i-vectors and neural networks with limited training data

This study proposes an approach to voice identification based on neural networks (DNN) for i-Vector. Modern voice identification systems based on DNN use large amounts of labeled training data. Using the LRE i-Vector Machine Learning Challenge restricts access to ready-to-use i-Vector for learning...

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Bibliographic Details

Main Authors:	Mamyrbayev, Orken Zh., Othman, Mohamed, Akhmediyarova, A. T., Kydyrbekova, Aizada S., Mekebayev, Nurbapa O.
Format:	Article
Language:	en
Published:	National Academy of Sciences of the Republic of Kazakhstan 2019
Online Access:	http://psasir.upm.edu.my/id/eprint/82733/1/Voice%20verification%20.pdf http://psasir.upm.edu.my/id/eprint/82733/ https://www.researchgate.net/publication/333891112_VOICE_VERIFICATION_USING_I-VECTORS_AND_NEURAL_NETWORKS_WITH_LIMITED_TRAINING_DATA
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