Medix-AI/coqui-tts
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coqui-tts
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Fix compute embedding script

This commit is contained in:
WeberJulian 2022-05-30 18:55:11 +02:00
parent 01115124a7
commit fbb450616c
1 changed files with 11 additions and 21 deletions
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30
TTS/bin/compute_embeddings.py
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@ -7,31 +7,21 @@ from tqdm import tqdm
from TTS.config import load_config
from TTS.tts.datasets import load_tts_samples
from TTS.tts.utils.speakers import SpeakerManager
from TTS.tts.utils.managers import save_file
parser = argparse.ArgumentParser(
description="""Compute embedding vectors for each wav file in a dataset.\n\n"""
"""
Example runs:
python TTS/bin/compute_embeddings.py speaker_encoder_model.pth speaker_encoder_config.json dataset_config.json embeddings_output_path/
python TTS/bin/compute_embeddings.py speaker_encoder_model.pth speaker_encoder_config.json dataset_config.json
""",
formatter_class=RawTextHelpFormatter,
)
parser.add_argument("model_path", type=str, help="Path to model checkpoint file.")
parser.add_argument(
"config_path",
type=str,
help="Path to model config file.",
)
parser.add_argument(
"config_dataset_path",
type=str,
help="Path to dataset config file.",
)
parser.add_argument("output_path", type=str, help="path for output speakers.json and/or speakers.npy.")
parser.add_argument(
"--old_file", type=str, help="Previous speakers.json file, only compute for new audios.", default=None
)
parser.add_argument("config_path", type=str, help="Path to model config file.")
parser.add_argument("config_dataset_path", type=str, help="Path to dataset config file.")
parser.add_argument("--output_path", type=str, help="Path for output `pth` or `json` file.", default="speakers.pth")
parser.add_argument("--old_file", type=str, help="Previous embedding file to only compute new audios.", default=None)
parser.add_argument("--use_cuda", type=bool, help="flag to set cuda. Default False", default=False)
parser.add_argument("--no_eval", type=bool, help="Do not compute eval?. Default False", default=False)
@ -79,13 +69,13 @@ for idx, wav_file in enumerate(tqdm(wav_files)):
if speaker_mapping:
# save speaker_mapping if target dataset is defined
if ".json" not in args.output_path:
mapping_file_path = os.path.join(args.output_path, "speakers.json")
if os.path.isdir(args.output_path):
mapping_file_path = os.path.join(args.output_path, "speakers.pth")
else:
mapping_file_path = args.output_path
if os.path.dirname(mapping_file_path) != "":
os.makedirs(os.path.dirname(mapping_file_path), exist_ok=True)
# pylint: disable=W0212
encoder_manager._save_json(mapping_file_path, speaker_mapping)
save_file(speaker_mapping, mapping_file_path)
print("Speaker embeddings saved at:", mapping_file_path)