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90 lines
3.1 KiB
90 lines
3.1 KiB
# Copyright (c) 2021 PaddlePaddle Authors. All Rights Reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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import argparse
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from collections import defaultdict
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from pathlib import Path
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from praatio import tgio
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def get_baker_data(root_dir):
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alignment_files = sorted(
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list((root_dir / "PhoneLabeling").rglob("*.interval")))
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text_file = root_dir / "ProsodyLabeling/000001-010000.txt"
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text_file = Path(text_file).expanduser()
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# filter out several files that have errors in annotation
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exclude = {'000611', '000662', '002365', '005107'}
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alignment_files = [f for f in alignment_files if f.stem not in exclude]
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data_dict = defaultdict(dict)
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for alignment_fp in alignment_files:
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alignment = tgio.openTextgrid(alignment_fp)
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# only with baker's annotation
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utt_id = alignment.tierNameList[0].split(".")[0]
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intervals = alignment.tierDict[alignment.tierNameList[0]].entryList
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phones = []
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for interval in intervals:
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label = interval.label
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phones.append(label)
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data_dict[utt_id]["phones"] = phones
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for line in open(text_file, "r"):
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if line.startswith("0"):
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utt_id, raw_text = line.strip().split()
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if utt_id in data_dict:
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data_dict[utt_id]['text'] = raw_text
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else:
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pinyin = line.strip().split()
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if utt_id in data_dict:
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data_dict[utt_id]['pinyin'] = pinyin
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return data_dict
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def get_g2p_phones(data_dict, frontend):
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for utt_id in data_dict:
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g2p_phones = frontend.get_phonemes(data_dict[utt_id]['text'])
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data_dict[utt_id]["g2p_phones"] = g2p_phones
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return data_dict
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def main():
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parser = argparse.ArgumentParser(description="g2p example.")
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parser.add_argument(
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"--root-dir",
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default=None,
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type=str,
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help="directory to baker dataset.")
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parser.add_argument(
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"--output-dir",
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default="data/g2p",
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type=str,
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help="directory to output.")
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args = parser.parse_args()
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root_dir = Path(args.root_dir).expanduser()
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output_dir = Path(args.output_dir).expanduser()
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output_dir.mkdir(parents=True, exist_ok=True)
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assert root_dir.is_dir()
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data_dict = get_baker_data(root_dir)
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raw_path = output_dir / "text"
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ref_path = output_dir / "text.ref"
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wf_raw = open(raw_path, "w")
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wf_ref = open(ref_path, "w")
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for utt_id in data_dict:
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wf_raw.write(utt_id + " " + data_dict[utt_id]['text'] + "\n")
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wf_ref.write(utt_id + " " + " ".join(data_dict[utt_id]['phones']) +
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"\n")
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if __name__ == "__main__":
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main()
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