bvandeusenandClaude Opus 5
c06af48cd6
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Decides whether tracks are proposed as one recording. No database, no files, so every rule is falsifiable in a unit test. Two tiers: - exact: equal audio_stream_sha256 (identical encoded audio bytes). No threshold and no false positives. - acoustic: chromaprint fingerprints that agree once aligned. Two fingerprints can start at slightly different points in the audio (padding trimmed differently), so offsets within ±120 items (~15s) are voted on using items that share their high 14 bits. Bit-error rate is then measured over the overlap at the winning offset. The approach and both constants follow AcoustID's pg_acoustid; it was reimplemented from that description and no code was copied. No verdict below ~10s of overlap, or for low-information fingerprints (silence, a sustained tone). Two such tracks agree without being one recording. Grouping uses complete linkage: a track joins a group only if it matches every member. Otherwise A close to B and B close to C would merge A and C, which are not close, and it means any member can be the survivor. Other rules: - durations must be within 3s - acoustic groups are capped at 8, and larger clusters are reported and discarded as a likely shared jingle - an exact group absorbed into an acoustic one takes the acoustic tier - output does not depend on input order The acoustic threshold is 0.15 bit-error rate: deliberately conservative, since the operator's concern is different recordings of one song being merged, and an instrumental shares its vocal's harmony. It is unmeasured, and needs calibrating against real pairs once the backfill has populated fingerprints (#3913 exposes it). Nothing calls this yet; the sweep (#3910) does. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01SQ31KQpYbStyK5y58UmPLH