Room Impulse Response Generator
Python- and C-based room impulse response generator, for use in convolutional reverb.
Official Python port of https://github.com/ehabets/RIR-Generator.
Installation
pip install rir-generator
Usage
import numpy as np
import scipy.signal as ss
import soundfile as sf
import rir_generator as rir
signal, fs = sf.read("bark.wav", always_2d=True)
h = rir.generate(
c=340, # Sound velocity (m/s)
fs=fs, # Sample frequency (samples/s)
r=[ # Receiver position(s) [x y z] (m)
[2, 1.5, 1],
[2, 1.5, 2],
[2, 1.5, 3]
],
s=[2, 3.5, 2], # Source position [x y z] (m)
L=[5, 4, 6], # Room dimensions [x y z] (m)
reverberation_time=0.4, # Reverberation time (s)
nsample=4096, # Number of output samples
)
print(h.shape) # (4096, 3)
print(signal.shape) # (11462, 2)
# Convolve 2-channel signal with 3 impulse responses
signal = ss.convolve(h[:, None, :], signal[:, :, None])
print(signal.shape) # (15557, 2, 3)
Development
Installation for Development
git clone https://github.com/audiolabs/rir-generator.git
cd rir-generator
pip install -e .[dev]
Running Tests
pytest
Building from Source
python -m build
Project Structure
The project follows the src/ layout with automatic versioning from git tags:
src/
rir_generator/
__init__.py # Main Python module
_cffi/ # CFFI C++ extension bindings
build.py # CFFI build configuration
rir_generator_core.cpp # C++ implementation
rir_generator_core.h # C++ header
2 maintainers
Metadata
2 maintainers
Release files for rir-generator 0.3.0
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Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| rir_generator-0.3.0.tar.gz | 28.6 kB | Details |
Built distributions (wheels)
Total release size: 400.0 kB
Release files / rir_generator-0.3.0.tar.gz
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| Size | 36.8 kB |
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