MockingBird/archived_untest_files/vocoder_preprocess.py

60 lines
2.7 KiB
Python

from synthesizer.synthesize import run_synthesis
from synthesizer.hparams import hparams
from utils.argutils import print_args
import argparse
import os
if __name__ == "__main__":
class MyFormatter(argparse.ArgumentDefaultsHelpFormatter, argparse.RawDescriptionHelpFormatter):
pass
parser = argparse.ArgumentParser(
description="Creates ground-truth aligned (GTA) spectrograms from the vocoder.",
formatter_class=MyFormatter
)
parser.add_argument("datasets_root", type=str, help=\
"Path to the directory containing your SV2TTS directory. If you specify both --in_dir and "
"--out_dir, this argument won't be used.")
parser.add_argument("--model_dir", type=str,
default="synthesizer/saved_models/pretrained/", help=\
"Path to the pretrained model directory.")
parser.add_argument("-i", "--in_dir", type=str, default=argparse.SUPPRESS, help= \
"Path to the synthesizer directory that contains the mel spectrograms, the wavs and the "
"embeds. Defaults to <datasets_root>/SV2TTS/synthesizer/.")
parser.add_argument("-o", "--out_dir", type=str, default=argparse.SUPPRESS, help= \
"Path to the output vocoder directory that will contain the ground truth aligned mel "
"spectrograms. Defaults to <datasets_root>/SV2TTS/vocoder/.")
parser.add_argument("--hparams", default="",
help="Hyperparameter overrides as a comma-separated list of name=value "
"pairs")
parser.add_argument("--no_trim", action="store_true", help=\
"Preprocess audio without trimming silences (not recommended).")
parser.add_argument("--cpu", action="store_true", help=\
"If True, processing is done on CPU, even when a GPU is available.")
args = parser.parse_args()
print_args(args, parser)
modified_hp = hparams.parse(args.hparams)
if not hasattr(args, "in_dir"):
args.in_dir = os.path.join(args.datasets_root, "SV2TTS", "synthesizer")
if not hasattr(args, "out_dir"):
args.out_dir = os.path.join(args.datasets_root, "SV2TTS", "vocoder")
if args.cpu:
# Hide GPUs from Pytorch to force CPU processing
os.environ["CUDA_VISIBLE_DEVICES"] = ""
# Verify webrtcvad is available
if not args.no_trim:
try:
import webrtcvad
except:
raise ModuleNotFoundError("Package 'webrtcvad' not found. This package enables "
"noise removal and is recommended. Please install and try again. If installation fails, "
"use --no_trim to disable this error message.")
del args.no_trim
run_synthesis(args.in_dir, args.out_dir, args.model_dir, modified_hp)