#!/usr/bin/env python3
from espnet2.tasks.spk import SpeakerTask
[docs]def get_parser():
parser = SpeakerTask.get_parser()
return parser
[docs]def main(cmd=None):
r"""Speaker embedding extractor training.
Trained model can be used for
speaker verification, open set speaker identification, and also as
embeddings for various other tasks including speaker diarization.
Example:
% python spk_train.py --print_config --optim adadelta \
> conf/train_spk.yaml
% python spk_train.py --config conf/train_diar.yaml
"""
SpeakerTask.main(cmd=cmd)
if __name__ == "__main__":
main()