Purpose
Phone-side and local model workflows need structured audio observations without depending on a desktop Python service or cloud analysis path.
creative code · 2026
ExoAndroidAudioAnalyzer
An Android audio analyzer that returns BPM and dominant-pitch observations on-device for local model workflows.
My role
Designer and engineer
Status
active
Methods
- Android
- On-device audio analysis
- BPM estimation
- Dominant-pitch analysis
- APK distribution
- SHA-256 verification
Outputs
- Installable Android APK
- On-device BPM and dominant-pitch observations
- Published SHA-256 checksum
Result
A downloadable Android tool that performs its analysis locally and can be called from local model workflows without a Python backend.
Implementation
How it works
The Android application accepts an audio file, runs deterministic BPM and dominant-pitch analysis on-device, and reports the observations through a dedicated mobile interface.
The public product page ships the version 1.4 APK with its SHA-256 checksum and labels the current binary as debug-signed for sideload testing.