SCENE-RIR

The purpose of this package is to extract the Room Impulse Response (RIR) from the recorded response signal of an appropriate excitation signal. It employs the swept-sine measurement method [1]. Both linear sweeps—corresponding to a white spectrum noise—and exponential sweeps—corresponding to a pink spectrum noise—are implemented. The exponential swept-sine generation is based on Angelo Farina's methodology [2].

It is part of the Audio Simulation Module, developed for the Horizon Europe project SCENE (2023-2025): "Searchable multi-dimensional data lakes, supporting Cognitive film production & distribution, for the promotion of the EuropeaN Cultural HeritagE."

📦 Installation

Install via PyPI

You can install this package from PyPI using pip:

pip install scene-rir

Install via Conda

To install this package using conda, make sure you have either Miniconda or Anaconda installed.

Then, run the following command:

conda install csevast::scene-rir

✅ Installation verification

To check if the package was installed successfully, try:

python -c "import scene_rir.rir; help(scene_rir.rir)"

If the scene-rir is installed, this command will print all of its help documentation string.

💻 Examples of usage

Create and save the default exponential swept-sine excitation signal.

from scene_rir import rir

signal = rir.SweptSineSignal()
signal.save("output/ss-signal-44100_kHz-2972_ms.wav")

Usage example of creating and using a swept-sine signal in a Python script.

from matplotlib import pyplot as plt
from scene_rir import rir

params = {
    "antslcdur": 0.1,
    "frqstp": 10000,
    "frqstt": 100,
    "pstslcdur": 0.1,
}
signal = rir.SweptSineSignal(
    params,
    sgllvl=-6,
    sglszeidx=2,
    smprteidx=5,
    ss_rtetyp="log",
)
_, sglvec = signal.signal_vector()
tmevec = signal.time_vector()
sgldur = signal.sgldur

_, ax = plt.subplots()
ax.plot(tmevec, sglvec)
ax.set_xlim(0, sgldur)
ax.set_ylim(-1, 1)

plt.show()

Exctract the room impulse response from a recorded response signal to a previously produced swept-sine excitation signal.

from scene_rir import rir


params = {
    "rec_path": "input/rec-signal.wav",
    "ref_path": "output/ref-signal.wav",
}
irs_signal = rir.ImpulseResponseSignal(
    params,
    sgllvl=0,
)
irs_signal.save("output/irs-signal.wav")

Usage example of extracting the impulse response in a Python script.

import numpy as np
from matplotlib import pyplot as plt
from scene_rir import rir

irs_signal = rir.ImpulseResponseSignal(
    rec_path="input/rec-signal.wav",
    ref_path="output/ref-signal.wav",
    path=output/irs-signal.wav",
    sgllvl=0,
)
smprte, sglvec = irs_signal.signal_vector()

_, ax = plt.subplots()

sgldur = sglvec.size / smprte
tmevec = np.linspace(0, sgldur, sglvec.size)
ax.plot(tmevec, sglvec)
ax.set_xlim(0, sgldur)

plt.show()

Example of usage from command line (Windows OS):

> python -m scene_rir
Usage: python -m scene_rir [command] [parameter1] [parameter2]
or
python3 -m scene_rir [command] [parameter1] [parameter2]
Available commands:
save   Save the default swept-sine signal.
> python -m scene_rir --help
Usage: python -m scene_rir [command] [parameter1] [parameter2]
or
python3 -m scene_rir [command] [parameter1] [parameter2]
Available commands:
save   Save the default swept-sine signal.

> python -m scene_rir save my_folder/my_signal.wav

⚖️ License: GNU General Public License v3.0 or later

Copyright (C) 2025 Christos Sevastiadis

This program is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version.

This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details.

You should have received a copy of the GNU General Public License along with this program. If not, see https://www.gnu.org/licenses/.

📖 References

• [1]: International Organization for Standardization (2006). Acoustics — Application of new measurement methods in building and room acoustics (ISO Standard No. 18233). Retrieved from https://www.iso.org/standard/40408.html.
• [2]: Farina, A. (2000, February). Simultaneous measurement of impulse response and distortion with a swept-sine technique. In Audio Engineering Society Convention 108. Audio Engineering Society.