Unsupervised Learning of Total Variability Embedding for Speaker Verification with Random Digit Strings
Recently, the increasing demand for voice-based authentication systems has encouraged researchers to investigate methods for verifying users with short randomized pass-phrases with constrained vocabulary. The conventional i-vector framework, which has been proven to be a state-of-the-art utterance-l...
Main Authors: | Woo Hyun Kang, Nam Soo Kim |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2019-04-01
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Series: | Applied Sciences |
Subjects: | |
Online Access: | https://www.mdpi.com/2076-3417/9/8/1597 |
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