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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...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2019
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| 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 |