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PaddleSpeech/utils/manifest_key_value.py

67 lines
1.9 KiB

#!/usr/bin/env python3
"""Manifest file to key-value files."""
import argparse
import functools
from pathlib import Path
import jsonlines
from utils.utility import add_arguments
from utils.utility import print_arguments
def main(args):
print_arguments(args, globals())
count = 0
outdir = Path(args.output_path)
wav_scp = outdir / 'wav.scp'
dur_scp = outdir / 'duration'
text_scp = outdir / 'text'
with jsonlines.open(args.manifest_path, 'r') as reader:
manifest_jsons = list(reader)
with wav_scp.open('w') as fwav, dur_scp.open('w') as fdur, text_scp.open(
'w') as ftxt:
for line_json in manifest_jsons:
utt = line_json['utt']
feat = line_json['feat']
file_ext = Path(feat).suffix # .wav
text = line_json['text']
feat_shape = line_json['feat_shape']
dur = feat_shape[0]
feat_dim = feat_shape[1]
if 'token' in line_json:
tokens = line_json['token']
tokenids = line_json['token_id']
token_shape = line_json['token_shape']
token_len = token_shape[0]
vocab_dim = token_shape[1]
if file_ext == '.wav':
fwav.write(f"{utt} {feat}\n")
fdur.write(f"{utt} {dur}\n")
ftxt.write(f"{utt} {text}\n")
count += 1
print(f"Examples number: {count}")
if __name__ == '__main__':
parser = argparse.ArgumentParser(description=__doc__)
add_arg = functools.partial(add_arguments, argparser=parser)
# yapf: disable
add_arg('manifest_path', str,
'data/librispeech/manifest.train',
"Filepath of manifest to compute normalizer's mean and stddev.")
add_arg('output_path', str,
'data/train',
"dir path to dump wav.scp/duaration/text files.")
# yapf: disable
args = parser.parse_args()
main(args)