Skip to main content

Ambiscape

CI docs PyPI version Python License: MIT

Ambiscape is a Python toolbox for analysing soundscapes—the sonic ambiences of rooms and other places. It reads mono, stereo, binaural, or first-order ambisonic recordings of any length and describes a place's sound as a whole: level, spectrum, space, rhythm, sources, and more. Several recorders spread through a building can be read together as one acoustic network.

Install

pip install ambiscape

Optional extras add psychoacoustic indicators, machine listening, music analysis, live capture, and spatial visuals. See the install guide.

Quickstart

Point analyze at a session—a folder of WAV files from one recording occasion:

ambiscape analyze my-session/

This streams the audio in constant memory, however long it is. It extracts features, computes descriptors (Leq, LAeq, percentile levels, event statistics, diffuseness, and more), renders overview figures, and writes a README.md summarising the session. Start by reading that README and looking at analysis/overview.png:

Session overview figure: level timeline, spectrogram, anglegram, and diffuseness lane on one clock. The quickstart guide continues from there, on the command line and in Python.

Commands

analyze is one of nearly forty subcommands. The others cover taxonomy annotation, rhythm and tonality, room acoustics and impulse responses, ecological and source-domain indices, perceptual surveys, multi-recorder building networks (network), corpus aggregation, and privacy-aware publishing. The command overview lists them all; ambiscape --help prints the same list.

Documentation

  • User guide & API reference—the session model, feature and descriptor definitions, and a page per analysis module.
  • Wiki—field-recording protocol, recipes, worked case studies, design rationale, and research context.

Ambiscape analyses sound; its sister toolbox MGT-python analyses video. The two meet at file boundaries—see Working with other packages.

Licence

MIT—see LICENSE.

Credits

Ambiscape is developed as part of the AMBIENT project at fourMs / RITMO, University of Oslo, supported by the Research Council of Norway. It is the streaming companion to ambiviz, which renders rich spatial visuals from short ambisonic files.

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

ambiscape-0.30.0.tar.gz (295.1 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

ambiscape-0.30.0-py3-none-any.whl (251.2 kB view details)

Uploaded Python 3

File details

Details for the file ambiscape-0.30.0.tar.gz.

File metadata

  • Download URL: ambiscape-0.30.0.tar.gz
  • Upload date:
  • Size: 295.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/7.0.0 CPython/3.13.14

File hashes

Hashes for ambiscape-0.30.0.tar.gz
Algorithm Hash digest
SHA256 4e4d9c948ac65e8764c1f5dbcc995e0a915b528eb3c2e9f226c0c78537b60de7
MD5 520cd4c0cebdc47917a1b9f6cc904f8c
BLAKE2b-256 d8e9a259f763f7aa1af2dcb57a7c28946106f5cff68107a1e8cee869db6cf969

See more details on using hashes here.

Provenance

The following attestation bundles were made for ambiscape-0.30.0.tar.gz:

Publisher: python-publish.yml on fourMs/ambiscape

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file ambiscape-0.30.0-py3-none-any.whl.

File metadata

  • Download URL: ambiscape-0.30.0-py3-none-any.whl
  • Upload date:
  • Size: 251.2 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/7.0.0 CPython/3.13.14

File hashes

Hashes for ambiscape-0.30.0-py3-none-any.whl
Algorithm Hash digest
SHA256 fee74ffabfb87796997eccad4746a340a534a167d346eb68e835d09ad2a6182a
MD5 d3180b60de55587026770d41814ce410
BLAKE2b-256 010494d7fa0e3b206a78034e6e11df0aa8c1dbda80cdd507a854a3d775bb2389

See more details on using hashes here.

Provenance

The following attestation bundles were made for ambiscape-0.30.0-py3-none-any.whl:

Publisher: python-publish.yml on fourMs/ambiscape

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

Release history Release notifications | RSS feed

0.49.0

2 files

0.48.0

2 files

0.47.0

2 files

0.46.0

2 files

0.45.0

2 files

0.44.0

2 files

0.43.0

2 files

0.42.0

2 files

0.41.0

2 files

0.40.0

2 files

0.39.0

2 files

0.38.0

2 files

0.37.0

2 files

0.36.0

2 files

0.35.0

2 files

0.34.0

2 files

0.33.0

2 files

0.32.0

2 files

0.31.0

2 files

This release

0.30.0 This release

2 files

0.29.0

2 files

0.28.1

2 files

0.28.0

2 files

0.27.0

2 files

0.26.0

2 files

0.25.0

2 files

0.24.1

2 files

0.24.0

2 files

0.23.3

2 files

0.23.2

2 files

0.22.0

2 files

0.17.0

2 files

0.16.0

2 files

0.15.1

2 files

0.15.0

2 files

0.14.0

2 files

0.2.0

2 files

0.1.0

2 files

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page