An easy-to-use Dynamic Mixing python code for Speech Processing tasks such as Speech Enhancement, Speech Source Separation, Target Speech Extraction, and Speech Augmentation.
pip install -r requirements.txt
It is recommended to understand the DynamicMixing arguments before using it. You must provide either the bg_noise_dataset or bb_noise_dataset argument.
Inline python code:
from DynamicMixing import DynamicMixing
mixer = DynamicMixing(bg_noise_dataset = 'audios/bg_noise.txt',
bb_noise_dataset = 'audios/bb_noise.txt',
rir_dataset = 'audios/rir.txt',
snr_range = [-5, 25],
sir_range = [-5, 25],
sr = 16000,
max_bg_noise_to_mix = 3,
max_speakers_to_mix = 3,
reverb_proportion = 0.5,
target_level = -25,
target_level_floating_value = 10,
allowed_overlapped_bg_noise = True,
silence_length = 0.2,
saved_dir = 'audios/noisy')
clean_path = 'audios/clean/book_00000_chp_0009_reader_06709_2.wav'
output = mixer.generate(clean_path, save_to_dir = True)
# output is a dictionary, pls check the DynamicMixing code
print("Output: ", output)
# get the noisy data
noisy_y = output['noisy']
print("Noisy data: ", noisy_y)Generate and save generated noisy audios:
python generate.py \
--clean_dataset=audios/clean.txt \
--bg_noise_dataset=audios/bg_noise.txt \
--bb_noise_dataset=audios/bb_noise.txt \
--rir_dataset=audios/rir.txt \
--snr_range=-5,10 \
--sir_range=-5,25 \
--max_bg_noise_to_mix=3 \
--max_speakers_to_mix=3 \
--reverb_proportion=0.5 \
--target_level=-25 \
--target_level_floating_value=10 \
--allowed_overlapped_bg_noise=true \
--silence_length=0.2 \
--saved_dir=audios/noisy