The fork improved on the original version to support Python 3, fixed a few bugs, and made it importable from other Python scripts
A python implementation of the LogMMSE speech enhancement/noise reduction alogrithm
pip install logmmse
from logmmse import logmmse_from_file
out = logmmse_from_file('sample.wav')
print(out)logmmse(data, sampling_rate, output_file=None, initial_noise=6, window_size=0, noise_threshold=0.15)
data (Mandatory)
A 1d or 2d (number of frames, channels) Numpy array representing the audio signal
Supported format: 32-bit floating-point, 32-bit PCM, 16-bit PCM, and 8-bit PCM, see https://docs.scipy.org/doc/scipy/reference/generated/scipy.io.wavfile.read.html
sampling_rate (Mandatory)
Sampling rate of the data (e.g. 16k/44.1 kHz)
output_filename
filename of the wave output. If none, no file would be generated
the output format would be the same as input
return
A 1d or 2d (number of frames, channels) Numpy array representing the enhanced signal
input_filename (Mandatory)
Filename of the wave input
supported format: 32-bit floating-point, 32-bit PCM, 16-bit PCM, and 8-bit PCM, see https://docs.scipy.org/doc/scipy/reference/generated/scipy.io.wavfile.read.html
output_filename
See above
return
A 1d or 2d (number of frames, channels) Numpy array representing the enhanced signal
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This file has been ported from logmmse.m file found at the following link. https://raw.githubusercontent.com/braindead/Noise-reduction/master/logmmse.m