Advanced AI system that automatically classifies and identifies sources of noise in audio recordings, reducing the need for manual analysis.
Identifies up to 28 distinct classes of noise sources with over 90% accuracy, even in mixed audio environments.
Virtual listener panel powered by AI that evaluates the subjective quality of audio equipment without requiring extensive human testing.
Provides objective assessment of subjective sound attributes including bass strength, treble clarity, and overall balance.
Continuous monitoring system that detects acoustic anomalies in manufacturing environments and equipment testing facilities.
Reduces false alarms by 85% through intelligent classification of environmental vs. equipment noise sources.
OpenVINO-accelerated tools for noise reduction, audio separation, and quality enhancement for testing and production environments.
Processes audio in real-time on standard hardware using Intel's OpenVINO optimization for up to 8x faster processing.