Overview
Noise detection is the identification and monitoring of unwanted sounds to maintain clarity and accuracy in audio recordings, and assessments.
How Noise Detection Works
This technology uses advanced algorithms to identify unwanted sounds, such as background chatter, electronic disturbances, and environmental noises, during an examination.
Importance of Noise Detection
Noise detection ensures fairness by maintaining a controlled and distraction-free testing environment, allowing candidates to perform without external interferences.
Implementation in Talview
During remote assessments, the system detects noise in real-time and alerts both candidates and proctors, enabling immediate corrective measures.
Benefits of Noise Detection
This feature enhances the accuracy of candidate evaluations, ensuring the reliability and credibility of remote examinations.
- Data-Driven Insights
- Reduced Incidence of Cheating
- Compliance with Examination Standards
- Proactive Issue Resolution
- Improved Candidate Experience
- Increased Reliability and Credibility of Remote Assessments
- Enhanced Accuracy of Candidate Evaluations
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