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Roadmap
Alexander Refsum Jensenius edited this page Jul 18, 2026
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10 revisions
Moved from the README so it can evolve without commits. Roughly ordered.
- State-resolved descriptors — split multi-state sessions (machine
on/off, day/night) before computing summary rows, so a night under a
drone and a quiet morning stop averaging into one number. (The building
blocks landed in v0.3–0.5:
statesmasks + per-mask summaries; the remaining work is plumbing them throughanalyze.) - Standard ratings & global indices (v0.5.0) — NR/NC/RC room criteria, intermittency ratio + emergence, the ecoacoustic battery (ACI, ADI/AEI, NDSI, BI, entropy H), EDT/C50/C80/D50, and spatial descriptors (directional entropy, horizon fractions, fg/bg direction overlap) appended to every analyze summary.
- Catalog aggregation (v0.7.0) —
ambiscape catalogcollects allsummary.jsonfiles in a corpus into one CSV + transposed Markdown table, withrank/outliershelpers for cross-session statistics. - Tests + CI — 26 pytest tests over a synthetic AmbiX fixture (BWF writer, plane waves, diffuse noise, phase-locked synthetic swinging bells); GitHub Actions on Python 3.10/3.12 (v0.2.0).
- Cyclic-machine detector — landed in v0.3.0 as the
statesmodule (band_level,state_segments,switch_points,duty_cycle) plusbackground.source_fingerprintfor the on-state spectrum. Field validation: the Haarlem-loft case study (air-pump night states, fridge ~24 min duty cycle). - Tonal-event finder — landed as the
rhythmmodule (strike detection from partial envelopes, point-process periodicity, phase clusters, repetition-vs-variation stats). Civic-schedule matching landed in v0.3.0 asschedule.grid_scan(targeted per-tick scans) alongsideschedule.match_periods. - Wind/handling detector for outdoor takes (LF coherence between channels is the usual tell).
- Environmental-rhythm metric — a defensible single figure (or small vector) built from envelope power spectra at minute-to-hour scales, duty cycles, and state-alternation periods. Research question as much as feature.
- AEM export adapter — write ambiviz-compatible AEM
.npzfor a selected excerpt so the hand-off needs no glue code. - BirdNET hook (v0.6.0) — species-level biophony on hi-fi windows
(
ml.birdnet_session, gated by diffuseness), optional[ml]companion to PANNs, plus a cache-basedbiophonymodule (narrowband activity, temporal entropy, band activity, spatial dispersion) for corpus-wide structural biophony without ML. - CLAP zero-shot search — free-text queries ("compressor hum", "door slam") across a corpus's cached features/excerpts.
- PyPI (v0.2.0, trusted publishing)
- Documentation site (MkDocs → GitHub Pages)
- Zenodo DOI per release (GitHub–Zenodo integration)
- JOSS or similar software paper once tests + state-resolution land