RealRIRs
A collection of loaders for real (recorded) impulse response databases, because apparently people cannot to stick to a single way of storing audio data.
Installation
Use pip install realrirs. Depending on what databases you want to use, you will have to install additional dependencies. To install all dependencies, use pip install realrirs[full].
Usage
import pathlib
import realrirs.datasets
aachen_impulse_response_database = realrirs.datasets.AIRDataset(
pathlib.Path("/path/to/AIR_1_4") # Can also pass simple str
)
# List all IRs in database, tuples of (name, n_channels, n_samples, sample_rate)
aachen_impulse_response_database.list_irs()
# => [(PosixPath('/path/to/AIR_1_4/air_phone_stairway_hfrp_1.mat'), 1, 144000, 48000),
# (PosixPath('/path/to/AIR_1_4/air_binaural_booth_1_1_1.mat'), 1, 32767, 48000)],
# ...]
# Get single IR, ndarray of shape (n_channels, n_samples)
aachen_impulse_response_database[aachen_impulse_response_database.list_irs()[0][0]]
# => array([[ 1.32764243e-07, -2.18957279e-08, 1.28081465e-07, ...,
# 0.00000000e+00, 0.00000000e+00, 0.00000000e+00]])
# Get all IRs, much faster than using [] (__getitem__) multiple times
aachen_impulse_response_database.getall()
# => <generator object FileIRDataset.getall at 0x11af88e40>
# Generator contains (name, sample_rate, ir) tuples.
next(aachen_impulse_response_database.getall())
# => (PosixPath('/path/to/AIR_1_4/air_binaural_aula_carolina_0_1_1_90_3.mat'), 48000,
# array([[-2.73920884e-06, -3.49019781e-06, -1.70998298e-06, ..., -7.13979890e-11]]))