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DeepGuard
Next-Gen Audio Forensics

Detecting the Unheard Deception

A comprehensive research platform dedicated to understanding, analyzing, and detecting AI-generated audio deepfakes using state-of-the-art deep learning techniques.

Latest Research Notes

Stay updated with our latest findings, analysis, and tutorials on audio synthesis and detection.

DatasetASVspoofEvaluation

Audio Deepfake Dataset Review: ASVspoof 2021

A comprehensive review of the ASVspoof 2021 challenge dataset, focusing on logical access and physical access scenarios.

2024-02-289 min
WatermarkingProvenanceDefense

Watermarking Audio: A Defense Strategy

Implementing imperceptible watermarks in audio to prove authenticity and trace the origin of synthetic content.

2024-01-124 min
Adversarial MLRobustnessSecurity

Adversarial Attacks on Deepfake Detectors

Investigating how robust current deepfake detection models are against adversarial perturbations. Can we fool the detectors?

2023-12-057 min
Voice ConversionSecurityZero-Shot

The Rise of Zero-Shot Voice Conversion

Analyzing the latest advancements in zero-shot voice conversion models that require only a few seconds of reference audio. Implications for security and privacy.

2023-11-206 min
DetectionForensicsSpectral Analysis

Detecting AI Voice Clones: Spectral Analysis Techniques

Exploring the subtle spectral artifacts left behind by modern voice cloning tools like ElevenLabs and Tortoise TTS. Can we spot the synthetic signature?

2023-11-028 min
SynthesisGenerative ModelsWaveGrad

Understanding WaveGrad: Audio Synthesis Fundamentals

A deep dive into WaveGrad, a conditional model for waveform generation through estimating gradients of the data density. How does it compare to WaveNet?

2023-10-155 min