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LCAV/pyroomacoustics

Pyroomacoustics is a package for audio signal processing for indoor applications. It was developed as a fast prototyping platform for beamforming algorithms in indoor scenarios. observed · 2026-08-28

github.com/LCAV/pyroomacoustics · homepage · Python · MIT (permissive) observed · 2026-08-28

Health v2 · maintenance only

90/100

  • Activity 92
  • Release rhythm 81
  • Longevity 100
How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.

  • gap_med: 0
  • age_days: 3905
  • days_rel: 124
  • days_push: 48
  • n_releases_24m: 4

Full methodology

Adoption not part of the score

1928 stars · 496 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

Pyroomacoustics is a Python package for audio signal processing in indoor scenarios, combining a fast C++ room acoustics simulator (image source model and ray tracing) with reference implementations of array processing algorithms. It provides an object-oriented interface for simulating sound sources and microphone arrays in 2D/3D rooms and generating room impulse responses.

Use cases

  • simulate room impulse responses for a microphone array in a reverberant room
  • prototype and benchmark beamforming algorithms
  • estimate direction of arrival of sound sources
  • generate training data for machine learning audio models
  • test adaptive filtering and source separation methods
  • simulate acoustic propagation between sources and receivers in 2D and 3D rooms
  • denoise single-channel speech recordings

When to choose

  • you need to simulate room acoustics or generate room impulse responses quickly
  • you are developing or evaluating microphone array processing algorithms like beamforming or DOA estimation
  • you want reference Python implementations of STFT, adaptive filtering, or denoising algorithms
  • you need synthetic reverberant audio data for research or ML training

When to avoid

  • you need real-time audio processing in production systems
  • you require physically accurate auralization for professional acoustic engineering or architectural design
  • you need full 3D spatial audio rendering for games or VR
  • you want a GUI-based acoustic simulation tool rather than a Python library

Facets

library · maturity stable

audio-processing simulation nlp machine-learning speech-processing python cross-platform room-acoustics room-impulse-response image-source-model beamforming direction-of-arrival doa-estimation microphone-arrays adaptive-filtering stft source-separation speech-enhancement ray-tracing audio algorithms research signal-processing

2 sources

Member repositories

RepositoryRoleHealth v2
LCAV/pyroomacousticsmain90

For agents

markdown · JSON · MCP: product_card(name="LCAV/pyroomacoustics")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem