114 lines
3.3 KiB
Python
114 lines
3.3 KiB
Python
# 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 os
|
|
import random
|
|
from pprint import pprint
|
|
|
|
import argparse
|
|
import numpy as np
|
|
import paddle.fluid.dygraph as dg
|
|
from paddle import fluid
|
|
|
|
from parakeet.utils import io
|
|
import utils
|
|
from waveflow import WaveFlow
|
|
|
|
|
|
def add_options_to_parser(parser):
|
|
parser.add_argument(
|
|
'--model',
|
|
type=str,
|
|
default='waveflow',
|
|
help="general name of the model")
|
|
parser.add_argument(
|
|
'--name', type=str, help="specific name of the training model")
|
|
parser.add_argument(
|
|
'--root', type=str, help="root path of the LJSpeech dataset")
|
|
|
|
parser.add_argument(
|
|
'--use_gpu',
|
|
type=utils.str2bool,
|
|
default=True,
|
|
help="option to use gpu training")
|
|
parser.add_argument(
|
|
'--use_fp16',
|
|
type=utils.str2bool,
|
|
default=True,
|
|
help="option to use fp16 for inference")
|
|
|
|
parser.add_argument(
|
|
'--iteration',
|
|
type=int,
|
|
default=None,
|
|
help=("which iteration of checkpoint to load, "
|
|
"default to load the latest checkpoint"))
|
|
parser.add_argument(
|
|
'--checkpoint',
|
|
type=str,
|
|
default=None,
|
|
help="path of the checkpoint to load")
|
|
|
|
parser.add_argument(
|
|
'--output',
|
|
type=str,
|
|
default="./syn_audios",
|
|
help="path to write synthesized audio files")
|
|
parser.add_argument(
|
|
'--sample',
|
|
type=int,
|
|
default=None,
|
|
help="which of the valid samples to synthesize audio")
|
|
|
|
|
|
def synthesize(config):
|
|
pprint(vars(config))
|
|
|
|
# Get checkpoint directory path.
|
|
run_dir = os.path.join("runs", config.model, config.name)
|
|
checkpoint_dir = os.path.join(run_dir, "checkpoint")
|
|
|
|
# Configurate device.
|
|
place = fluid.CUDAPlace(0) if config.use_gpu else fluid.CPUPlace()
|
|
|
|
with dg.guard(place):
|
|
# Fix random seed.
|
|
seed = config.seed
|
|
random.seed(seed)
|
|
np.random.seed(seed)
|
|
fluid.default_startup_program().random_seed = seed
|
|
fluid.default_main_program().random_seed = seed
|
|
print("Random Seed: ", seed)
|
|
|
|
# Build model.
|
|
model = WaveFlow(config, checkpoint_dir)
|
|
iteration = model.build(training=False)
|
|
# Run model inference.
|
|
model.infer(iteration)
|
|
|
|
|
|
if __name__ == "__main__":
|
|
# Create parser.
|
|
parser = argparse.ArgumentParser(
|
|
description="Synthesize audio using WaveNet model")
|
|
add_options_to_parser(parser)
|
|
utils.add_config_options_to_parser(parser)
|
|
|
|
# Parse argument from both command line and yaml config file.
|
|
# For conflicting updates to the same field,
|
|
# the preceding update will be overwritten by the following one.
|
|
config = parser.parse_args()
|
|
config = io.add_yaml_config_to_args(config)
|
|
synthesize(config)
|