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PaddleSpeech/utils/compute_mean_std.py

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', float, 10.0, "stride length in ms.")
add_arg('window_ms', float, 20.0, "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=args.stride_ms,
window_ms=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()