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PaddleSpeech/paddlespeech/t2s/exps/waveflow/synthesize.py

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# Copyright (c) 2020 PaddlePaddle Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import argparse
import os
from pathlib import Path
import numpy as np
import paddle
import soundfile as sf
from paddlespeech.t2s.exps.waveflow.config import get_cfg_defaults
from paddlespeech.t2s.models.waveflow import ConditionalWaveFlow
from paddlespeech.t2s.utils import layer_tools
def main(config, args):
if args.ngpu == 0:
paddle.set_device("cpu")
elif args.ngpu > 0:
paddle.set_device("gpu")
else:
print("ngpu should >= 0 !")
model = ConditionalWaveFlow.from_pretrained(config, args.checkpoint_path)
layer_tools.recursively_remove_weight_norm(model)
model.eval()
mel_dir = Path(args.input).expanduser()
output_dir = Path(args.output).expanduser()
output_dir.mkdir(parents=True, exist_ok=True)
for file_path in mel_dir.glob("*.npy"):
mel = np.load(str(file_path))
with paddle.amp.auto_cast():
audio = model.predict(mel)
audio_path = output_dir / (os.path.splitext(file_path.name)[0] + ".wav")
sf.write(audio_path, audio, config.data.sample_rate)
print("[synthesize] {} -> {}".format(file_path, audio_path))
if __name__ == "__main__":
config = get_cfg_defaults()
parser = argparse.ArgumentParser(
description="generate mel spectrogram with TransformerTTS.")
parser.add_argument(
"--config",
type=str,
metavar="FILE",
help="extra config to overwrite the default config")
parser.add_argument(
"--checkpoint_path", type=str, help="path of the checkpoint to load.")
parser.add_argument(
"--input",
type=str,
help="path of directory containing mel spectrogram (in .npy format)")
parser.add_argument("--output", type=str, help="path to save outputs")
parser.add_argument(
"--ngpu", type=int, default=1, help="if ngpu=0, use cpu.")
parser.add_argument(
"--opts",
nargs=argparse.REMAINDER,
help="options to overwrite --config file and the default config, passing in KEY VALUE pairs"
)
args = parser.parse_args()
if args.config:
config.merge_from_file(args.config)
if args.opts:
config.merge_from_list(args.opts)
config.freeze()
print(config)
print(args)
main(config, args)