You can not select more than 25 topics
Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
88 lines
3.3 KiB
88 lines
3.3 KiB
#!/usr/bin/env python3
|
|
# Copyright (c) 2021 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.
|
|
"""Compute mean and std for feature normalizer, and save to file."""
|
|
import argparse
|
|
import functools
|
|
|
|
from paddlespeech.s2t.frontend.augmentor.augmentation import AugmentationPipeline
|
|
from paddlespeech.s2t.frontend.featurizer.audio_featurizer import AudioFeaturizer
|
|
from paddlespeech.s2t.frontend.normalizer import FeatureNormalizer
|
|
from paddlespeech.s2t.utils.utility import add_arguments
|
|
from paddlespeech.s2t.utils.utility import print_arguments
|
|
|
|
parser = argparse.ArgumentParser(description=__doc__)
|
|
add_arg = functools.partial(add_arguments, argparser=parser)
|
|
# yapf: disable
|
|
add_arg('num_samples', int, 2000, "# of samples to for statistics.")
|
|
|
|
add_arg('spectrum_type', str,
|
|
'linear',
|
|
"Audio feature type. Options: linear, mfcc, fbank.",
|
|
choices=['linear', 'mfcc', 'fbank'])
|
|
add_arg('feat_dim', int, 13, "Audio feature dim.")
|
|
add_arg('delta_delta', bool, False, "Audio feature with delta delta.")
|
|
add_arg('stride_ms', int, 10, "stride length in ms.")
|
|
add_arg('window_ms', int, 20, "stride length in ms.")
|
|
add_arg('sample_rate', int, 16000, "target sample rate.")
|
|
add_arg('use_dB_normalization', bool, True, "do dB normalization.")
|
|
add_arg('target_dB', int, -20, "target dB.")
|
|
|
|
add_arg('manifest_path', str,
|
|
'data/librispeech/manifest.train',
|
|
"Filepath of manifest to compute normalizer's mean and stddev.")
|
|
add_arg('num_workers',
|
|
default=0,
|
|
type=int,
|
|
help='num of subprocess workers for processing')
|
|
add_arg('output_path', str,
|
|
'data/librispeech/mean_std.npz',
|
|
"Filepath of write mean and stddev to (.npz).")
|
|
# yapf: disable
|
|
args = parser.parse_args()
|
|
|
|
|
|
def main():
|
|
print_arguments(args, globals())
|
|
|
|
augmentation_pipeline = AugmentationPipeline('{}')
|
|
audio_featurizer = AudioFeaturizer(
|
|
spectrum_type=args.spectrum_type,
|
|
feat_dim=args.feat_dim,
|
|
delta_delta=args.delta_delta,
|
|
stride_ms=float(args.stride_ms),
|
|
window_ms=float(args.window_ms),
|
|
n_fft=None,
|
|
max_freq=None,
|
|
target_sample_rate=args.sample_rate,
|
|
use_dB_normalization=args.use_dB_normalization,
|
|
target_dB=args.target_dB,
|
|
dither=0.0)
|
|
|
|
def augment_and_featurize(audio_segment):
|
|
augmentation_pipeline.transform_audio(audio_segment)
|
|
return audio_featurizer.featurize(audio_segment)
|
|
|
|
normalizer = FeatureNormalizer(
|
|
mean_std_filepath=None,
|
|
manifest_path=args.manifest_path,
|
|
featurize_func=augment_and_featurize,
|
|
num_samples=args.num_samples,
|
|
num_workers=args.num_workers)
|
|
normalizer.write_to_file(args.output_path)
|
|
|
|
|
|
if __name__ == '__main__':
|
|
main()
|