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 e...
Saved in:
| Main Authors: | 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 |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2023-01-01
|
| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10123935/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Voice Adversarial Sample Generation Method for Ultrasonicization of Motion Noise
by: Jun Wang, et al.
Published: (2024-01-01) -
Enhancing voice spoofing detection in noisy environments using frequency feature masking augmentation
by: Soyul Han, et al.
Published: (2025-03-01) -
Multi-Channel Replay Speech Detection Using an Adaptive Learnable Beamformer
by: Michael Neri, et al.
Published: (2025-01-01) -
DeepLASD countermeasure for logical access audio spoofing
by: Hamed Al-Tairi, et al.
Published: (2025-07-01) -
EMPLOYEE VOICE SCALE: IS THERE A NEED OF RECONSIDERATION OF DIMENSIONS?
by: Ulaş Çakar, et al.
Published: (2019-04-01)