Screentro.ai Feature
Hear the Truth. Detect Artificial Speech.
Accent & Voice-Fake Scan ensures that the voice you’re hearing during virtual interviews is the real voice of the candidate—not artificially altered or impersonated.
The Accent & Voice-Fake Scan is a cutting-edge fraud detection feature designed to analyze the authenticity of the candidate’s voice during virtual interviews. It combines speech recognition, AI-powered accent analysis, and voice pattern detection to identify when a candidate is using tools or techniques to alter their voice, such as voice changers or pre-recorded audio.
In remote interviews, candidates may attempt to mask their true identity by changing their accent or using synthetic speech to manipulate their performance. The Accent & Voice-Fake Scan detects these attempts, ensuring that the person speaking during the interview is the candidate themselves, and their speech is genuine.
Accent Verification
· Analyzes the candidate’s natural accent and speech patterns to match them against the expected regional or cultural norms.
· Detects discrepancies between the candidate’s claimed accent and their speech patterns. For example, someone claiming to be from the UK but speaking with an accent inconsistent with the region.
· Identifies unusual shifts in accent during the conversation, which could indicate the use of an accent-modifying tool or coaching.
Voice-Fake Detection
· Detects synthetic or altered voices commonly used in deepfake audio technology, voice changers, or pre-recorded responses.
· Analyzes voice consistency, checking for any unnatural fluctuations in pitch, tone, and pacing.
· Identifies when a voice seems mechanically generated or exhibits patterns inconsistent with a human’s natural speech (e.g., robotic intonations or unnatural pauses).
Voice Manipulation & Fake Speech Detection
· Flags the use of voice modulation apps, deepfake generators, or AI voice synthesis tools that alter or create fake voices.
· Detects unnatural voice modulation that doesn’t align with the human vocal spectrum, such as overly consistent pitch or sudden changes in vocal characteristics
· Monitors for voice disruptions or irregularities typical of synthetic voice generation (e.g., mechanical sounds, robotic stutters, or unearthly tone shifts).
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✅ Authenticity in Speech
Ensure that the voice you’re hearing belongs to the candidate and is not manipulated by software or artificial means. This is crucial in maintaining trust and transparency in the interview process.
🛡️ Prevent Identity Impersonation
Candidates may attempt to impersonate someone else using voice-changing software or pre-recorded responses. Accent & Voice-Fake Scan helps detect these attempts, ensuring the person you’re interviewing is the real candidate.
🚫 Identify Fraudulent Speech Techniques
Deepfake technology and voice manipulation tools are becoming more accessible. Accent & Voice-Fake Scan provides an extra layer of protection by detecting artificial speech in real-time.
🧠 Ensure Accurate Evaluation
When evaluating communication skills, tone, and verbal responses, it’s essential that the voice you’re assessing is genuine. This feature guarantees you are accurately evaluating the candidate’s real voice.
· Consent-Based Monitoring: The Accent & Voice-Fake Scan feature is fully opt-in and activated with the candidate’s consent.
· No Intrusive Recording: Only speech pattern and accent analysis are used for fraud detection—no audio is stored beyond the session itself.
· Privacy-Compliant: The feature is fully compliant with GDPR, CCPA, and all relevant privacy laws to ensure the candidate’s data remains protected.