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A holistic toolbox for analysing soundscapes (sonic ambiences) from any recording — mono, stereo, binaural, or ambisonic — meant to be useful to researchers, artists, and students alike. This wiki holds the living, research-facing material — things that evolve independently of code releases.
| You want… | Go to |
|---|---|
| Install + one-page overview | README |
| User guide, method definitions, API reference | Documentation site |
| How to record in the field | Field Recording Protocol |
| Why the toolbox works the way it does | Design Decisions |
| Step-by-step task walkthroughs | Recipes |
| A worked field validation (bells, rhythm) | Case Study Haarlem Damiaatjes |
| A worked long-form case study (machine states, executable report) | Case Study Haarlem Loft |
| The research programme around the tool | Research Context |
| Combining audio + video analysis (MGT, 360 cameras, device sync) | Working with MGT-python |
| What's planned | Roadmap |
ambiscape is developed in the AMBIENT project at fourMs / RITMO (University of Oslo), as the streaming companion to ambiviz: ambiviz renders rich spatial visuals (AEM, anglegram, directogram) on audio it can load whole; ambiscape summarizes sessions of hours-to-nights and selects the excerpts worth rendering. Both grew out of work on capturing rooms as subjects rather than containers — year-long standstill recordings, an international corpus of indoor environments. ambiviz needs first-order AmbiX B-format for its spatial visuals; ambiscape analyses that richest case but also mono, stereo, and binaural recordings, using whatever spatial information each carries.