ลิงก์
VoiceAuth is a cutting-edge deepfake audio and voice detection application designed to ensure the authenticity of audio files. It leverages advanced machine learning models, including Random Forest and Hugging Face technologies, to provide accurate predictions. VoiceAuth supports various audio and video formats, converting them to WAV for analysis. The application features a user-friendly interface, batch processing capabilities, and metadata storage in a SQLite database. Ideal for media professionals, law enforcement, businesses, educators, and security experts, VoiceAuth is your shield against deepfake audio.
คุณสมบัติเด่น
- Deepfake Detection using Random Forest and Hugging Face models
- Support for multiple audio and video formats
- MFCC Visualization for audio analysis
- Metadata storage in SQLite database
- User-friendly interface with customtkinter
- Batch processing of multiple files
- Logging with typewriter effect for better readability
การใช้งาน
- A journalist uses VoiceAuth to verify the authenticity of an audio clip before publishing a story.
- A law enforcement officer authenticates a voice recording as evidence in an investigation.
- A call center uses VoiceAuth to detect fake voice inputs during customer interactions.
- An educator uses VoiceAuth in a machine learning course to demonstrate real-world applications.
- A security expert integrates VoiceAuth into a voice biometrics system to enhance authentication security.
คำถามที่ถามบ่อย
How does VoiceAuth detect deepfake audio?
What file formats does VoiceAuth support?
Is VoiceAuth user-friendly for non-technical users?
Can VoiceAuth process multiple files at once?
Where is the metadata stored after analysis?
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