audio-deepfake-detection

There are 8 repositories under audio-deepfake-detection topic.

• piotrkawa / deepfake-whisper-features

  Implementation of the paper "Improved DeepFake Detection Using Whisper Features"

  audio-deepfake-detectiondeep-learningdeepfake-detectionpaper-implementationswhisper
  Language:Python 67

• csun22 / Synthetic-Voice-Detection-Vocoder-Artifacts

  This repository is related to our Dataset and Detection code from the paper: AI-Synthesized Voice Detection Using Neural Vocoder Artifacts accepted in CVPR Workshop on Media Forensic 2023.

  deepfake-detectionspeech-synthesisaudio-deepfake-detectionneural-vocoder
  Language:Python 63

• MarkHershey / AudioDeepFakeDetection

  SUTD 50.039 Deep Learning Course Project (2022 Spring)

  audioaudio-deepfake-detectiondeep-learningdeepfake-detection
  Language:Python 61

• piotrkawa / attack-agnostic-dataset

  Implementation of Attack Agnostic Dataset: Towards Generalization and Stabilization of Audio DeepFake Detection paper

  audio-deepfake-detectiondeepfake-detectionlcnnpaper-implementations
  Language:Python 53

• piotrkawa / audio-deepfake-adversarial-attacks

  Implementation of "Defense against Adversarial Attacks on Audio DeepFake Detection"

  adversarial-attacksaudio-deepfake-detectiondeepfake-detectionpaper-implementations
  Language:Jupyter Notebook 47

• piotrkawa / specrnet

  Implementation of "SpecRNet: Towards Faster and More Accessible Audio DeepFake Detection" paper

  paper-implementationsaudio-deepfake-detectiondeepfake-detectionlcnn
  Language:Python 28

• sksmta / audio-deepfake-detection

  Audio deepfake detection sytem on CNN

  aiartificial-intelligenceaudio-deepfake-detectioncnncnn-classificationcnn-kerascnn-modeldeep-learningdeepfake-detectiondeepfakes-classificationmachine-learning
  Language:Jupyter Notebook 16

• csun22 / LibriVoc-Dataset

  LibriVoc is a new open-source, large-scale dataset for vocoder artifact detection. LibriVoc is derived from the LibriTTS speech corpus, which is widely used in text-to- speech research. The LibriTTS corpus is derived from the Librispeech dataset, wherein each sample is extracted from LibriVox audiobooks.

  audio-deepfake-detectionneural-vocoder
  Language:Rich Text Format 15

• onurkya7 / AudioDeepFakeDetection

  Application that detects the authenticity of audio files developed using the Random Forest Model.

  audioaudio-deepfake-detectioncustomtkinterdeep-fakedeep-fake-detectionrandom-forest
  Language:Python 7