E-Bike Noise Analyzer — Interactive Motor Sound Simulator

The E-Bike Noise Analyzer is an experimental web tool that simulates the characteristic sounds of electric bicycle motors — both hub and mid-drive types.
Using real-time audio synthesis via the Web Audio API, the tool lets users control RPM, torque, harmonic richness, and ambient mechanical noise to produce lifelike tonal variations.

This hands-on simulator is useful for enthusiasts, acoustic engineers, and product designers who want to compare perceived noise across motor types and setups.
Adjust parameters in real time, listen to how tonal peaks and mechanical noise change, and export short WAV samples for further analysis or documentation.

The simulation is synthetic and intended for exploration and prototyping; it approximates common motor behaviors (bearing whine, gear/chain timbre, and broadband mechanical noise).
For higher realism you can extend the tool with measured motor spectral profiles, impulse responses of frames/tires, or data-driven models (e.g., ML-based spectral synthesis).

Key features

• Real-time motor sound synthesis (Hub vs Mid-drive)
• Controls: RPM, torque/load, harmonic richness (grit), ambient mechanical noise
• Live meter and short WAV export (client-side)
• Save / load profiles in browser localStorage for quick A/B comparisons
• Lightweight, embeddable HTML/CSS/JS prototype that can be upgraded to use AudioWorklet or server-side profile storage

Usage scenarios

• QA testing of new motor or drivetrain prototypes (quick subjective checks)
• UX demos for product pages showing perceived noise differences
• Educational demos about how RPM, gear ratios and mounting affect noise

Limitations & next steps

• Purely synthetic — accuracy depends on tuning; add measured spectra for realism.
• Currently uses ScriptProcessor for prototyping; upgrade to AudioWorklet for lower latency and stable recording.
• Add multi-mic convolution (frame impulses) and spectral blending for production-quality samples.