Voice Spoofing Detection Through Residual Network, Max Feature Map, and Depthwise Separable Convolution

The goal of the “2019 Automatic Speaker Verification Spoofing and Countermeasures Challenge” (ASVspoof) was to make it easier to create systems that could identify voice spoofing attacks with high levels of accuracy. However, model complexity and latency requirements were not emphasize...

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Detaylı Bibliyografya
Asıl Yazarlar:	Il-Youp Kwak, Sungsu Kwag, Junhee Lee, Youngbae Jeon, Jeonghwan Hwang, Hyo-Jung Choi, Jong-Hoon Yang, So-Yul Han, Jun Ho Huh, Choong-Hoon Lee, Ji Won Yoon
Materyal Türü:	Artigo
Dil:	Inglês
Baskı/Yayın Bilgisi:	IEEE 2023-01-01
Seri Bilgileri:	IEEE Access
Konular:	Voice assistant security voice spoofing attack voice synthesis attack voice presentation attack detection
Online Erişim:	https://ieeexplore.ieee.org/document/10123935/
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Voice Spoofing Detection Through Residual Network, Max Feature Map, and Depthwise Separable Convolution

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