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...

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Bibliographic Details
Main Authors: Woo Hyun Kang, Nam Soo Kim
Format: Article
Language:English
Published: MDPI AG 2019-04-01
Series:Applied Sciences
Subjects:
Online Access:https://www.mdpi.com/2076-3417/9/8/1597