Due to the successful application of deep learning, audio spoofing detection has made significant progress. Spoofed audio with speech synthesis or voice conversion can be well detected by many countermeasures. However, an automatic speaker verification system is still vulnerable to spoofing attacks such ...
在数据集方面，例如[3]利用Voxceleb2等带有标注真实身份的视频数据集，训练模型区分不同个体。而对于[11]和[12]，这些研究采用预训练技术，如transformer架构，通过self-supervised学习或audio-visual对比学习，提升检测的泛化性和鲁棒性。针对数据增强，[7]提出Face-Cutout方法，通过关键点处理和动态脸部增强...
[2] Detecting Deep-Fake Videos from Appearance and Behavior【WIFS 2020】 [3] ID-Reveal: Identity-aware DeepFake Video Detection【ICCV 2021】 [4] Audio-Visual Person-of-Interest DeepFake Detection【arxiv】 Supervised Learning [5] Frequency-aware Discriminative Feature Learning Supervised by Single-Ce...
machine-learningdeep-learningpytorchresnettransfer-learningnew-york-timesresnet-18deepfakesdeepfakefaceforensicsdeepfake-detectiondeep-fakesdeepfake-dataset UpdatedNov 22, 2022 Python dessa-oss/fake-voice-detection Star357 Using temporal convolution to detect Audio Deepfakes ...
There are several approaches to using neural networks for deep fake detection. One approach is to use a convolutional neural network (CNN) [1] to analyze the visual artifacts in the image or video. The CNN can detect inconsistencies or anomalies in the image or video that are indicative of ...
A Review of Modern Audio Deepfake Detection Methods: Challenges and Future Directions 2022, Algorithms Sound Event Detection for Human Safety and Security in Noisy Environments 2022, IEEE Access Fake Speech Recognition Using Deep Learning 2021, Communications in Computer and Information Science View all ...
Deep fake technology allows users to impersonate others with imaginable accuracy. They are created through artificial intelligence generated media (imaginary, video, audio). While the most significant examples of deep fakes focus on celebrities or politicians, just about anyone can use technology to cr...
Improvements in deep fake technology for instance have allowed threat actors to bypass multi-factor authentication (MFA) and also elicit fraud by using faked audio.” Countering these threats will require organisations to improve their preparedness for incidents, and build their ability to respond ...
Deepfake algorithms can create fake images and videos that humans cannot distinguish them from authentic ones. The proposal of technologies that can automatically detect and assess the integrity of digital visual media is therefore indispensable. This paper presents a survey of algorithms used to create...
First, the raw audio can be found in the "AUDIO" directory. They are arranged within "REAL" and "FAKE" class directories. The audio filenames note which speakers provided the real speech, and which voices they were converted to. For example "Obama-to-Biden" denotes that Barack Obama's ...