An open-source dataset for multiple purposes, such as speaker localization/tracking, dereverberation, enhancement, separation, and recognition.
Project description
MixSim is an open-source multipurpose speech mixture simulator that covers speaker localization/tracking, dereverberation, enhancement, separation, and recognition tasks.
Documentation
See documentation for more details.
A Simple Example
First, install MixSim using:
pip install -U mixsim
mixsim --help
You can use the mixsim
command to run the simulator:
mixsim \
--seed 1 \
--sample_rate 16000 \
--clean.fpath_file /path/to/clean.txt \
--noisy.fpath_file /path/to/noisy.txt
...
Use an additional configuration file to specify the parameters:
mixsim --config_file /path/to/config.toml
Use package reference to access the simulator:
from mixsim import Mixer, Writer
mixture_list = Mixer(clean_file_list, noise_file_list, snr_list, output_members=["n_mix_y_rvb", "s_y", "s_transcript"])
file_writer = Writer(output_list = mixture_list)
file_writer.write()
Contributing
For guidance on setting up a development environment and how to contribute to MixSim, see Contributing to MixSim.
License
MixSim is released under the MIT license.
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