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PaddleSpeech/examples/other/text_frontend/get_g2p_data.py

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3.1 KiB

# 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.
import argparse
from collections import defaultdict
from pathlib import Path
from praatio import tgio
def get_baker_data(root_dir):
alignment_files = sorted(
list((root_dir / "PhoneLabeling").rglob("*.interval")))
text_file = root_dir / "ProsodyLabeling/000001-010000.txt"
text_file = Path(text_file).expanduser()
# filter out several files that have errors in annotation
exclude = {'000611', '000662', '002365', '005107'}
alignment_files = [f for f in alignment_files if f.stem not in exclude]
data_dict = defaultdict(dict)
for alignment_fp in alignment_files:
alignment = tgio.openTextgrid(alignment_fp)
# only with baker's annotation
utt_id = alignment.tierNameList[0].split(".")[0]
intervals = alignment.tierDict[alignment.tierNameList[0]].entryList
phones = []
for interval in intervals:
label = interval.label
phones.append(label)
data_dict[utt_id]["phones"] = phones
for line in open(text_file, "r"):
if line.startswith("0"):
utt_id, raw_text = line.strip().split()
if utt_id in data_dict:
data_dict[utt_id]['text'] = raw_text
else:
pinyin = line.strip().split()
if utt_id in data_dict:
data_dict[utt_id]['pinyin'] = pinyin
return data_dict
def get_g2p_phones(data_dict, frontend):
for utt_id in data_dict:
g2p_phones = frontend.get_phonemes(data_dict[utt_id]['text'])
data_dict[utt_id]["g2p_phones"] = g2p_phones
return data_dict
def main():
parser = argparse.ArgumentParser(description="g2p example.")
parser.add_argument(
"--root-dir",
default=None,
type=str,
help="directory to baker dataset.")
parser.add_argument(
"--output-dir",
default="data/g2p",
type=str,
help="directory to output.")
args = parser.parse_args()
root_dir = Path(args.root_dir).expanduser()
output_dir = Path(args.output_dir).expanduser()
output_dir.mkdir(parents=True, exist_ok=True)
assert root_dir.is_dir()
data_dict = get_baker_data(root_dir)
raw_path = output_dir / "text"
ref_path = output_dir / "text.ref"
wf_raw = open(raw_path, "w")
wf_ref = open(ref_path, "w")
for utt_id in data_dict:
wf_raw.write(utt_id + " " + data_dict[utt_id]['text'] + "\n")
wf_ref.write(utt_id + " " + " ".join(data_dict[utt_id]['phones']) +
"\n")
if __name__ == "__main__":
main()