embedded-audio-analyzer
CommunityOptimize ESP32 audio processing
Authorsparesparrow
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill addresses challenges in optimizing audio processing on ESP32 microcontrollers, specifically for real-time beat detection, by providing systematic analysis and refinement strategies.
Core Features & Use Cases
- Performance Profiling: Analyzes FFT configurations and profiles ESP32 performance (CPU, memory, latency).
- Beat Detection Optimization: Tests accuracy, provides strategies for improvement based on audio characteristics, and evaluates tradeoffs.
- Signal Processing Refinement: Guides on analyzing frequency response and optimizing preprocessing steps like filtering.
- Hardware Calibration: Facilitates creating calibration prompts for specific microphone models and ESP32 variants.
- Cross-Device Learning: Enables documenting and sharing successful optimizations and limitations across different devices.
Quick Start
Use the embedded-audio-analyzer skill to profile the current FFT configuration and performance of the bpm_detector target.
Dependency Matrix
Required Modules
None requiredComponents
references
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: embedded-audio-analyzer Download link: https://github.com/sparesparrow/esp32-bpm-detector/archive/main.zip#embedded-audio-analyzer Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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