Medix-AI/coqui-tts
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coqui-tts
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add resnet speaker encoder train unit test

This commit is contained in:
Edresson 2021-05-29 22:43:41 -03:00
parent 7448177b72
commit cc192b6843
1 changed files with 25 additions and 1 deletions
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26
tests/test_speaker_encoder_train.py
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@ -9,7 +9,6 @@ from TTS.speaker_encoder.speaker_encoder_config import SpeakerEncoderConfig
config_path = os.path.join(get_tests_output_path(), "test_model_config.json")
output_path = os.path.join(get_tests_output_path(), "train_outputs")
config = SpeakerEncoderConfig(
batch_size=4,
num_speakers_in_batch=1,
@ -45,3 +44,28 @@ command_train = (
)
run_cli(command_train)
shutil.rmtree(continue_path)
# test resnet speaker encoder
config.model_params['model_name'] = "resnet"
config.save_json(config_path)
# train the model for one epoch
command_train = (
f"CUDA_VISIBLE_DEVICES='{get_device_id()}' python TTS/bin/train_encoder.py --config_path {config_path} "
f"--coqpit.output_path {output_path} "
"--coqpit.datasets.0.name ljspeech "
"--coqpit.datasets.0.meta_file_train metadata.csv "
"--coqpit.datasets.0.meta_file_val metadata.csv "
"--coqpit.datasets.0.path tests/data/ljspeech "
)
run_cli(command_train)
# Find latest folder
continue_path = max(glob.glob(os.path.join(output_path, "*/")), key=os.path.getmtime)
# restore the model and continue training for one more epoch
command_train = (
f"CUDA_VISIBLE_DEVICES='{get_device_id()}' python TTS/bin/train_encoder.py --continue_path {continue_path} "
)
run_cli(command_train)
shutil.rmtree(continue_path)