Tagging & Temporal Context

Remembering what we’ve seen — without forcing a conclusion
Why Tag Before Classify
  • Most windows are ambiguous or weak
  • Labels applied too early are brittle
  • Interpretation often changes with later context
  • Raw data must remain the source of truth
Where I Learned This
  • Digital Asset Management at scale
  • Taxonomies evolve over years, not days
  • Tags overlap; labels are provisional
  • Reprocessing is normal, not exceptional
Human-Legible Artifacts
Spectrogram · RMS · centroid · window summary
  • Spectrograms generated per window or sequence
  • Basic statistics captured alongside raw audio
  • Artifacts treated as tags, not conclusions
  • Designed for replay, comparison, and review
FrameSessions (Context Over Time)
Window timeline · accumulated tags · persistence
  • Windows are observations, not decisions
  • Tags accumulate across time
  • Weak signals persist instead of resetting
  • Earlier interpretations can be revised safely
At this stage, the system is not trying to be right — it is trying to be honest, traceable, and revisitable.