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