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* init * isort formatted * minor updates * Create shared * Update prepare_tokens_vctk.py * Update prepare_tokens_vctk.py * Update prepare_tokens_vctk.py * Update prepare.sh * updated * Update train.py * Update train.py * Update tts_datamodule.py * Update train.py * Update train.py * Update train.py * Update train.py * Update train.py * Update train.py * fixed formatting issue * Update infer.py * removed redundant files * Create monotonic_align * removed redundant files * created symlinks * Update prepare.sh * minor adjustments * Create requirements_tts.txt * Update requirements_tts.txt added version constraints * Update infer.py * Update infer.py * Update infer.py * updated docs * Update export-onnx.py * Update export-onnx.py * Update test_onnx.py * updated requirements.txt * Update test_onnx.py * Update test_onnx.py * docs updated * docs fixed * minor updates
84 lines
4.9 KiB
Python
Executable File
84 lines
4.9 KiB
Python
Executable File
#!/usr/bin/env python3
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# Copyright 2023 Xiaomi Corp. (authors: Zengwei Yao,
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# Zengrui Jin,)
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#
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# See ../../../../LICENSE for clarification regarding multiple authors
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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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"""
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This file displays duration statistics of utterances in a manifest.
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You can use the displayed value to choose minimum/maximum duration
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to remove short and long utterances during the training.
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See the function `remove_short_and_long_utt()` in vits/train.py
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for usage.
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"""
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from lhotse import load_manifest_lazy
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def main():
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path = "./data/spectrogram/vctk_cuts_all.jsonl.gz"
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cuts = load_manifest_lazy(path)
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cuts.describe()
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if __name__ == "__main__":
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main()
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"""
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Cut statistics:
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╒═══════════════════════════╤══════════╕
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│ Cuts count: │ 43873 │
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├───────────────────────────┼──────────┤
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│ Total duration (hh:mm:ss) │ 41:02:18 │
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├───────────────────────────┼──────────┤
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│ mean │ 3.4 │
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├───────────────────────────┼──────────┤
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│ std │ 1.2 │
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├───────────────────────────┼──────────┤
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│ min │ 1.2 │
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├───────────────────────────┼──────────┤
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│ 25% │ 2.6 │
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├───────────────────────────┼──────────┤
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│ 50% │ 3.1 │
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├───────────────────────────┼──────────┤
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│ 75% │ 3.8 │
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├───────────────────────────┼──────────┤
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│ 99% │ 8.0 │
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├───────────────────────────┼──────────┤
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│ 99.5% │ 9.1 │
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├───────────────────────────┼──────────┤
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│ 99.9% │ 12.1 │
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├───────────────────────────┼──────────┤
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│ max │ 16.6 │
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├───────────────────────────┼──────────┤
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│ Recordings available: │ 43873 │
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├───────────────────────────┼──────────┤
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│ Features available: │ 43873 │
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├───────────────────────────┼──────────┤
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│ Supervisions available: │ 43873 │
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╘═══════════════════════════╧══════════╛
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SUPERVISION custom fields:
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Speech duration statistics:
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╒══════════════════════════════╤══════════╤══════════════════════╕
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│ Total speech duration │ 41:02:18 │ 100.00% of recording │
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├──────────────────────────────┼──────────┼──────────────────────┤
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│ Total speaking time duration │ 41:02:18 │ 100.00% of recording │
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├──────────────────────────────┼──────────┼──────────────────────┤
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│ Total silence duration │ 00:00:01 │ 0.00% of recording │
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╘══════════════════════════════╧══════════╧══════════════════════╛
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"""
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