Spoofed Speech Detection with Weighted Phase Features and Convolutional Networks
Detection of audio spoofing attacks has become vital for automatic speaker verification systems. Spoofing attacks can be obtained with several ways, such as speech synthesis, voice conversion, replay, and mimicry. Extracting discriminative features from speech data can improve the accuracy of detect...
| Main Author: | |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Institute of Fundamental Technological Research
2022-06-01
|
| Series: | Archives of Acoustics |
| Subjects: | |
| Online Access: | https://journals.pan.pl/Content/123487/PDF/aoa.2022.141648.pdf |