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...
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| Format: | Article |
| Language: | English |
| Published: |
Institute of Fundamental Technological Research Polish Academy of Sciences
2022-06-01
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| Series: | Archives of Acoustics |
| Subjects: | |
| Online Access: | https://journals.pan.pl/Content/123487/PDF/aoa.2022.141648.pdf |
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