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Adversarially Learned Total Variability Embedding for Speaker Recognition with Random Digit Strings

Over the recent years, various research has been conducted to investigate methods for verifying users with a short randomized pass-phrase due to the increasing demand for voice-based authentication systems. In this paper, we propose a novel technique for extracting an i-vector-like feature based on...

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Detalles Bibliográficos
Autores principales: Kang, Woo Hyun, Kim, Nam Soo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6864864/
https://www.ncbi.nlm.nih.gov/pubmed/31671509
http://dx.doi.org/10.3390/s19214709