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114 lines
4.1 KiB
114 lines
4.1 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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import os
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from pathlib import Path
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import librosa
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import numpy as np
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import yaml
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from praatio import tgio
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from yacs.config import CfgNode
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def readtg(tg_path, sample_rate=24000, n_shift=300):
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alignment = tgio.openTextgrid(tg_path, readRaw=True)
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phones = []
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ends = []
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for interval in alignment.tierDict["phones"].entryList:
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phone = interval.label
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phones.append(phone)
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ends.append(interval.end)
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frame_pos = librosa.time_to_frames(ends, sr=sample_rate, hop_length=n_shift)
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durations = np.diff(frame_pos, prepend=0)
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assert len(durations) == len(phones)
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# merge "" and sp in the end
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if phones[-1] == "" and len(phones) > 1 and phones[-2] == "sp":
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phones = phones[:-1]
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durations[-2] += durations[-1]
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durations = durations[:-1]
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# replace the last "sp" with "sil" in MFA1.x
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phones[-1] = "sil" if phones[-1] == "sp" else phones[-1]
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# replace the edge "" with "sil", replace the inner "" with "sp"
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new_phones = []
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for i, phn in enumerate(phones):
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if phn == "":
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if i in {0, len(phones) - 1}:
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new_phones.append("sil")
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else:
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new_phones.append("sp")
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else:
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new_phones.append(phn)
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phones = new_phones
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results = ""
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for (p, d) in zip(phones, durations):
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results += p + " " + str(d) + " "
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return results.strip()
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# assume that the directory structure of inputdir is inputdir/speaker/*.TextGrid
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# in MFA1.x, there are blank labels("") in the end, and maybe "sp" before it
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# in MFA2.x, there are blank labels("") in the begin and the end, while no "sp" and "sil" anymore
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# we replace it with "sil"
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def gen_duration_from_textgrid(inputdir, output, sample_rate=24000,
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n_shift=300):
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# key: utt_id, value: (speaker, phn_durs)
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durations_dict = {}
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list_dir = os.listdir(inputdir)
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speakers = [dir for dir in list_dir if os.path.isdir(inputdir / dir)]
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for speaker in speakers:
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subdir = inputdir / speaker
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for file in os.listdir(subdir):
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if file.endswith(".TextGrid"):
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tg_path = subdir / file
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name = file.split(".")[0]
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durations_dict[name] = (speaker, readtg(
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tg_path, sample_rate=sample_rate, n_shift=n_shift))
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with open(output, "w") as wf:
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for name in sorted(durations_dict.keys()):
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wf.write(name + "|" + durations_dict[name][0] + "|" +
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durations_dict[name][1] + "\n")
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def main():
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# parse config and args
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parser = argparse.ArgumentParser(
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description="Preprocess audio and then extract features.")
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parser.add_argument(
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"--inputdir",
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default=None,
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type=str,
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help="directory to alignment files.")
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parser.add_argument(
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"--output", type=str, required=True, help="output duration file.")
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parser.add_argument("--sample-rate", type=int, help="the sample of wavs.")
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parser.add_argument(
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"--n-shift",
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type=int,
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help="the n_shift of time_to_freames, also called hop_length.")
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parser.add_argument(
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"--config", type=str, help="config file with fs and n_shift.")
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args = parser.parse_args()
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with open(args.config) as f:
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config = CfgNode(yaml.safe_load(f))
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inputdir = Path(args.inputdir).expanduser()
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output = Path(args.output).expanduser()
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gen_duration_from_textgrid(inputdir, output, config.fs, config.n_shift)
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if __name__ == "__main__":
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main()
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