v0.0.1

Initial Release

Pure Dart library to detect pops and clicks in WAV audio files using adaptive threshold analysis.

Features

• Detect clicks (1–10 samples) and pops (10–150 samples) in WAV audio
• Adaptive MAD-based threshold with configurable sensitivity (low/medium/high)
• Support for PCM 8/16/24/32-bit and IEEE Float 32-bit WAV files
• Raw PCM byte analysis via analysePcm() with PcmFormat descriptor
• Pre-normalised sample analysis via analyseSamples() for integration with other decoders
• Per-channel or mono-summed analysis
• Confidence scoring with logistic function
• Public median() and mad() statistical utilities
• CLI tool with text and JSON output, glob support, batch processing, and raw PCM mode
• Pure Dart — no native dependencies, works on all platforms

CLI Usage

dart pub global activate audio_defect_detector
audiodefect analyse recording.wav --sensitivity=high --output=json
audiodefect analyse decoded.raw --raw --sample-rate=44100 --bit-depth=16 --channels=2

Library Usage

import 'package:audio_defect_detector/audio_defect_detector.dart';

final result = await analyseFile('recording.wav');
print('Found ${result.defects.length} defects');