Loudness is a C++ library with Python bindings for modelling perceived loudness. The library consists of processing modules which can be cascaded to form a loudness model.
To build the C++ library you will need:
- libsndfile1-dev >= 1.0.25
- libfftw3-dev >= 3.3.3
- zlib1g-dev >= 1.2.8
To build the Python bindings you will need:
- swig >= 3.0.0
- python-numpy-dev
The library interface is based on the fantastic AIM-C: https://code.google.com/p/aimc/
The cnpy library for reading numpy arrays in C++: https://github.com/rogersce/cnpy
Ricard Marxer for the loudia audio project: https://github.com/rikrd/loudia
import loudness as ln
# All inputs and outputs make use of a SignalBank
inputBank = ln.SignalBank()
nEars = 1
nChannels = 1
nSamples = 1
fs = 1
# There are 3 dimensions
inputBank.initialize(nEars, nChannels, nSamples, fs)
# Set the centre frequency of the first (only) channel
inputBank.setCentreFreq(0, 1000)
# Set the intensity in normalised units
level = 40
inputBank.setSample(0, 0, 0, 10 ** (level / 10))
# The loudness model
model = ln.StationaryLoudnessANSIS342007()
model.initialize(inputBank)
# Now process the input
model.process(inputBank)
# Get the output of this loudness model
feature = 'InstantaneousLoudness'
outputBank = model.getOutput(feature)
# Loudness
print 'Loudness in sones %0.2f' % outputBank.getSample(0, 0, 0)