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coqui-tts
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Active evaluation in speaker encoder test and use multispeaker dataset for this test

This commit is contained in:
Edresson Casanova 2022-03-07 19:25:04 -03:00
parent 3a7feadba4
commit 631aec6e88
1 changed files with 9 additions and 6 deletions
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15
tests/aux_tests/test_speaker_encoder_train.py
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@ -4,14 +4,14 @@ import shutil
from tests import get_device_id, get_tests_output_path, run_cli
from TTS.config.shared_configs import BaseAudioConfig
from TTS.encoder.speaker_encoder_config import SpeakerEncoderConfig
from TTS.encoder.configs.speaker_encoder_config import SpeakerEncoderConfig
def run_test_train():
command = (
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.name ljspeech_test "
"--coqpit.datasets.0.meta_file_train metadata.csv "
"--coqpit.datasets.0.meta_file_val metadata.csv "
"--coqpit.datasets.0.path tests/data/ljspeech "
@ -24,13 +24,16 @@ output_path = os.path.join(get_tests_output_path(), "train_outputs")
config = SpeakerEncoderConfig(
batch_size=4,
num_classes_in_batch=1,
num_utter_per_class=10,
num_loader_workers=0,
max_train_step=2,
num_classes_in_batch=2,
num_utter_per_class=2,
eval_num_classes_in_batch=2,
eval_num_utter_per_class=2,
num_loader_workers=1,
epochs=2,
print_step=1,
save_step=1,
print_eval=True,
run_eval=True,
audio=BaseAudioConfig(num_mels=80),
)
config.audio.do_trim_silence = True