audio-quality-checker

Audio quality checking for SDR streams analyzes signal characteristics to classify output as silence, noise, good audio, or distortion. The skill extracts metrics like RMS level, peak level, and spectral properties from your WaveCap-SDR audio, then provides a classification result to guide your tuning decisions.

SDR audio analysis extracts RMS level, peak level, crest factor, zero-crossing rate, spectral flatness, and spectral centroid. These metrics reveal signal characteristics across configurable channels and durations, helping you diagnose whether poor audio stems from weak signal, incorrect tuning, or stream issues.

Yes, audio quality analysis supports both pcm16 and f32 audio formats from SDR streams. The skill automatically obtains the sample rate from audio headers and processes either format through the same signal classification pipeline.

Use audio quality checking to classify the output as noise or silence. If the result is NOISE, your tuning or settings need adjustment; if SILENCE, the stream itself may not be active. This classification immediately narrows your next troubleshooting step.

Yes, the skill reads directly from WaveCap-SDR streaming APIs on configurable ports and channels. It monitors live audio streams for specified durations and produces structured diagnostic results without requiring file export.

Audio quality checking requires numpy for signal processing, scipy for spectral analysis, and requests for streaming API access. These handle metric extraction and signal classification across your SDR channels.