SCENE-RIR 2025.5
Room Impulse Response extraction package.
Requires Python: >=3.8
Keywords: room impulse response, rir

# 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 Cognive film production & distribution, for the promotion of the EuropeaN Cultural HeritagE."*

Copyright (C) 2025 Christos Sevastiadis

## Installation

Use `pip` to install **scene-rir**

```
pip install scene-rir
```
(Requires Python>=3.8)


## 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,
    "sgllvl": -6,
    "sglszeidx": 2,
    "smprteidx": 5,
    "ss_rtetyp": "log",
}
signal = rir.SweptSineSignal(params)
_, 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",
    "sgllvl": 0,
}
irs_signal = rir.ImpulseResponseSignal(params)
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

par = {
    "rec_path": "input/rec-signal.wav",
    "ref_path": "output/ref-signal.wav",
    "path": "output/irs-signal.wav",
    "sgllvl": 0,
}
irs_signal = rir.ImpulseResponseSignal(par)
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.rir
Usage: python -m scene_rir.rir [command] [parameter1] [parameter2]
or
python3 -m scene_rir.rir [command] [parameter1] [parameter2]
Available commands:
save   Save the default swept-sine signal.
> python -m scene_rir.rir --help
Usage: python -m scene_rir.rir [command] [parameter1] [parameter2]
or
python3 -m scene_rir.rir [command] [parameter1] [parameter2]
Available commands:
save   Save the default swept-sine signal.

> python -m scene_rir.rir save my_folder/my_signal.wav
```

## License: GNU GPL v3.0

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.

## 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.