acoustic_spaces
Open-source room acoustics simulator and auralisation toolkit, in the spirit of CATT-Acoustic and ODEON: load a 3D model of a space, place sources and listeners, compute impulse responses, and listen to the result in binaural, Ambisonics or loudspeaker formats.
Status: 3.2 (see the roadmap).
What it does
- Rooms from CAD and BIM models (OBJ, DXF, glTF, STL, IFC, Collada, SketchUp), from their dimensions or from a floor plan, with a material database and the material libraries of CATT-Acoustic and ODEON, walls and doors between rooms, audience seating, and directional, line, surface and array sources; a leak finder shows where a model is open: scene files.
- Simulation, in octave or third-octave bands: ray-traced early reflections with edge diffraction, added in pressure at low frequencies, a stochastic late tail and, for the lowest bands, a wave solver, both on the CPU or a GPU; ISO 3382-1 parameters, the STI and echo criteria for every source and listener: simulation.
- Coverage maps of the parameters and of the speech transmission index over the audience: coverage maps.
- Listening: impulse responses in mono, binaural, Ambisonics (AmbiX) and loudspeaker formats as WAV files; dry recordings run through them offline or in real time on the sound card, head-tracked on headphones, or heard along a walk through the room: spatial audio and listening. One example is Beethoven's 8th symphony from 61 anechoic tracks on the stage of the concert hall example, binaural for headphones (how it was made).
- Measuring real rooms with sine sweeps, comparing them with their model in just noticeable differences, and fitting the model's absorption to them: measurements.
- A graphical editor that does all of this in one window, starting from the bundled example rooms; reflection paths and sound particles in 3D, animated and exported to Blender: graphical editor.
- Validation against theory, against pyroomacoustics and against measured rooms, with the numbers and the scripts to reproduce them: the validation report says how far the results can be trusted.
Install
pip install acoustic-spaces # simulation, rendering and the command line
pip install "acoustic-spaces[viz,gui]" # with the 3D view and the graphical editor
PyPI and every GitHub release have wheels for Linux (x86-64), macOS (Apple silicon and Intel) and Windows (x86-64), CPython 3.10 to 3.14; elsewhere pip builds the package from source, which needs a C++17 compiler. From a source checkout, with uv, a C++17 compiler and CMake:
git clone https://github.com/naelolaiz/acoustic-spaces
cd acoustic-spaces
uv sync --extra viz --extra gui
Getting started lists the extras, the same with pip, and a tour of the command line and the Python API.
Quick start
acoustic-spaces examples # the example rooms
acoustic-spaces simulate examples/shoebox/scene.yaml --out results --plot
acoustic-spaces view examples/gallery/scene.yaml --paths --listener "round the corner"
acoustic-spaces # alone: the graphical editor
from acoustic_spaces import Room, simulate
room = Room.from_yaml("examples/shoebox/scene.yaml")
response = simulate(room)["talker", "seat-a"]
print(response.parameters().table())
Documentation
- Getting started: installing, the command line and the Python API.
- Graphical editor: editing scenes, drawing rooms, results and listening, export to Blender.
- Example scenes: the bundled rooms and what each shows.
- Scene files: geometry, materials, walls and openings, audience seating, sources and directivity.
- Simulation: early reflections, the late part, scattering, frequency bands, edge diffraction, low frequencies and the wave solver.
- Coverage maps: parameters and the STI over the audience area.
- Spatial audio and listening: binaural, Ambisonics and loudspeaker outputs, convolution, real-time playback and head tracking.
- Measurements: measuring impulse responses, comparing them with simulations, and fitting materials to them.
- Validation report: how the results compare with theory, another simulator and measured rooms.
- Roadmap, changelog and repository layout.
The same pages, with an API reference generated from the docstrings, build into a website with Sphinx (see CONTRIBUTING.md).
Design in one paragraph
Python is the main language; a C++ core (bound with nanobind) carries the parts that must be fast: the ray tracer, the wave solver and the real-time convolver. Every simulation runs in two stages with selectable methods: deterministic ray tracing (or image sources) for the early reflections and stochastic processing for the late reverberation. Both write a format-independent directional reflectogram, from which binaural, Ambisonics and loudspeaker impulse responses are encoded, so one simulation serves every output format. For the lowest bands a wave solver can take over; it records the pressure and its gradient, so the bass keeps its direction (to first order) in every format.
Contributing
Pull requests are welcome. Run ruff check . && ruff format --check . && pytest -W error
before opening one; CI runs the tests on all three platforms and ruff on Linux.
CONTRIBUTING.md
covers the development setup, the documentation, the validation scripts and releases.
License
GPL-3.0-or-later. See LICENSE.
The built-in material table comes from
pyroomacoustics (MIT, see
materials/data/LICENSE-pyroomacoustics.txt).
That table does not cite a source for most entries; check values that matter
against manufacturer data or a measured database.
1 maintainer
Metadata
1 maintainer
Release files for acoustic-spaces 3.2.2
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| Tags | CPython 3.10 Linux glibc 2.27+ x86-64 Linux glibc 2.28+ x86-64 |
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| Size | 702.6 kB |
| Tags | CPython 3.10 macOS 11.0+ ARM64 |
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| Size | 729.3 kB |
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