D

Deepfake Audio Detection

Developed by Heem2
A deepfake audio detection model fine-tuned based on facebook/wav2vec2-base, achieving 95.45% accuracy on the evaluation set
Downloads 246
Release Time : 5/10/2024

Model Overview

This model is used to identify deepfake audio content, fine-tuned based on the wav2vec2 architecture, suitable for audio classification tasks

Model Features

High accuracy
Achieves 95.45% accuracy on the evaluation set
Based on wav2vec2 architecture
Utilizes wav2vec2's powerful audio feature extraction capabilities
Multi-ethnic English support
Training data includes multi-ethnic English pronunciations

Model Capabilities

Audio classification
Deepfake detection
Audio feature extraction

Use Cases

Security detection
Deepfake audio identification
Detects whether voice content is AI-generated deepfake audio
95.45% accuracy
Content moderation
Fake audio filtering
Automatically identifies and filters fake audio content on social media
Featured Recommended AI Models
AIbase
Empowering the Future, Your AI Solution Knowledge Base
Š 2025AIbase