Question The AI voice detection sometimes fails during conversations. What can I do to improve its accuracy?

Answer Great question about voice detection accuracy! Here's how to optimize the AI's ability to recognize when humans are speaking: Voice detection optimization: System calibration options: • Navigate to "Call Settings" > "Voice Detection" • Run the "Audio Environment Calibration" tool • Adjust "Silence Threshold" (recommended: 25-30%) • Modify "Response Timing" to match typical customer response patterns • Set appropriate "Voice Detection Sensitivity" for your call environment Common issues and solutions: • Problem: Background noise interference Solution: Enable "Noise Suppression" feature • Problem: Customers with soft voices Solution: Decrease "Minimum Volume Threshold" • Problem: System cutting off customers Solution: Increase "End-of-Speech Pause Duration" • Problem: False triggers from background sounds Solution: Enable "Human Speech Pattern Recognition" Advanced detection settings: • Upload sample recordings to "Voice Pattern Training" • Enable "Continuous Learning Mode" to improve over time • Use "Language-Specific Settings" for multilingual campaigns • Implement "Audio Quality Validation" to check line quality before proceeding 🔍 Pro tip: Enable call recording (with appropriate disclosures) and use our "Detection Failure Analysis" tool to identify patterns in conversations where voice detection struggled.