Question 1

What is AI voice detection and how does it work?

Accepted Answer

AI voice detection analyzes audio patterns, acoustic characteristics, and spectral features to identify synthetic voices and voice cloning attempts. Our technology examines vocal tract modeling, prosodic patterns, and compression artifacts to detect AI-generated speech from ElevenLabs, Murf, and other voice synthesis platforms with 99%+ accuracy.

Question 2

Can you detect voice cloning and synthetic voices?

Accepted Answer

Yes, our AI voice detector identifies sophisticated voice cloning attacks, synthetic speech, and AI-generated audio. We can detect voices created by ElevenLabs, Murf, Speechify, Descript, and other voice synthesis tools, as well as real-time voice conversion and audio deepfakes.

Question 3

How accurate is voice authentication technology?

Accepted Answer

TruthScan achieves 99%+ accuracy in detecting AI-generated voices and voice cloning attempts. Our models are trained on millions of authentic and synthetic voice samples, enabling reliable detection across different languages, accents, and audio quality levels.

Question 4

What audio formats does voice detection support?

Accepted Answer

TruthScan's AI voice detector supports all major audio formats including MP3, WAV, FLAC, AAC, OGG, and M4A. We can analyze audio files from various quality levels, sample rates, and compression standards while maintaining high detection accuracy.

Question 5

Can voice detection work in real-time for phone calls?

Accepted Answer

Yes, our real-time voice authentication can analyze live phone calls, video conferences, and voice chats to detect voice cloning attacks and synthetic speech as they occur. This capability is crucial for preventing voice-based fraud and social engineering attacks.

Question 6

What industries need AI voice detection?

Accepted Answer

AI voice detection is essential for financial services, call centers, customer support, law enforcement, healthcare, and any organization dealing with voice-based authentication or communications. It helps prevent voice fraud, social engineering, and unauthorized access to sensitive systems.

Question 7

How fast is voice cloning detection?

Accepted Answer

Our voice detection provides real-time analysis with processing times under 2 seconds for most audio clips. Whether analyzing a short voice sample or a full conversation, you'll receive immediate results with detailed confidence scores and acoustic analysis.

Question 8

Can voice detection identify different types of voice manipulation?

Accepted Answer

Yes, our technology detects various forms of voice manipulation including pitch shifting, speed alteration, voice morphing, accent modification, and deepfake audio generation. We provide comprehensive analysis suitable for forensic and security applications.

Question 9

Is there an API for voice detection integration?

Accepted Answer

Yes, we offer a comprehensive REST API for voice detection that enables seamless integration into call center systems, authentication workflows, and communication platforms. The API supports real-time streaming, batch processing, and webhook notifications.

Question 10

How does voice detection help prevent fraud?

Accepted Answer

Voice detection prevents various fraud types including vishing (voice phishing), impersonation attacks, social engineering, unauthorized account access, and financial fraud. By verifying voice authenticity, organizations can protect against sophisticated voice-based attacks and maintain secure communications.

AI Voice Detection

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