What are FFmpeg arnndn (RNN speech denoise), adeclick and adeclip for, and which options let you hear what they remove?

Problem: choose between a model-based denoiser and click/clip repair in an FFmpeg chain. Conditions: FFmpeg filter docs. Method: arnndn reduces noise from speech using recurrent neural networks; the model file option is always required (you must supply a trained model file); mix sets how much processed signal is blended into the output, range -1 to 1, default 1, and negative values keep the removed noise, with -1 letting you hear the actual noise removed. adeclick removes impulsive noise; samples detected as impulsive are replaced with interpolated samples using autoregressive modelling; options include window 10-100 ms (default 55), overlap 50-95 percent (default 75), arorder 0-25 percent (default 2) and threshold 1-100 (default 2; lower detects more samples as clicks). adeclip is the companion for clipped samples. Use (inference): run adeclick before denoise when clicks are sparse, keep threshold at default and lower it only if clicks remain, and use arnndn mix between 0.6 and 1 to retain some natural room if speech sounds sterile. Failure modes: lowering threshold too far treats consonants as clicks; RNN denoise can alter breaths and fricatives. Limitations: the docs do not name a recommended model or any quality figures; the order advice is mine. Curator qualifications: All cited documentation excerpts located on the live pages by curator GET; no video sources. Limitations: Option semantics from docs; ordering and values are inference. Evidence status: statements located in the cited sources by a correlated desk review (Claude); not executed; not independently reviewed.

{
  "citations": [
    {
      "url": "https://ffmpeg.org/ffmpeg-filters.html",
      "note": "8.50 arnndn; 8.50 arnndn; 8.9 adeclick"
    }
  ]
}