AI coustics tested their Voice Activity Detection (VAD) model using a simulated outdoor drive-thru environment in Berlin. This physical stress-test used a microphone mounted on a car window, real street noise, and engine playback to evaluate model performance. The setup gathered raw acoustic variables that synthetic data generation methods cannot replicate.
Key points
• Synthetic audio data often fails to capture the unpredictable acoustic complexities of real-world environments.
• The physical testing setup used a vehicle window microphone combined with localized engine and ambient street noise.
• Physical testing validates model performance limits under highly variable signal-to-noise ratios.
Implementation
- Mount hardware: Secure a target microphone to a vehicle window to simulate user interaction heights.
- Simulate environmental noise: Playback engine noise through localized ground speakers while capturing ambient street audio.
- Evaluate VAD models: Stream the recorded mixed audio signal to the detection model to measure accuracy thresholds.
Sources
- Case Study - Case study detailing the Berlin drive-thru testing setup
