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94 lines
2.0 KiB
Python
Executable File
94 lines
2.0 KiB
Python
Executable File
#!/usr/bin/env python3
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# Copyright 2021 Xiaomi Corp. (authors: Fangjun Kuang
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# Mingshuang Luo)
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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()`
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in ../../../librispeech/ASR/transducer/train.py
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for usage.
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"""
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from lhotse import load_manifest
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def main():
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path = "./data/fbank/cuts_train.json.gz"
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path = "./data/fbank/cuts_dev.json.gz"
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path = "./data/fbank/cuts_test.json.gz"
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cuts = load_manifest(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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## train
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Cuts count: 804789
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Total duration (hours): 1370.6
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Speech duration (hours): 1370.6 (100.0%)
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***
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Duration statistics (seconds):
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mean 6.1
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std 3.1
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min 0.5
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25% 3.7
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50% 6.0
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75% 8.3
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99.5% 14.9
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99.9% 16.6
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max 33.3
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## dev
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Cuts count: 507
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Total duration (hours): 1.6
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Speech duration (hours): 1.6 (100.0%)
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***
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Duration statistics (seconds):
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mean 11.3
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std 5.7
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min 0.5
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25% 7.5
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50% 10.6
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75% 14.4
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99.5% 29.8
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99.9% 37.7
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max 39.9
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## test
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Cuts count: 1155
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Total duration (hours): 2.6
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Speech duration (hours): 2.6 (100.0%)
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***
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Duration statistics (seconds):
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mean 8.2
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std 4.3
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min 0.3
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25% 4.6
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50% 8.2
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75% 10.9
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99.5% 22.1
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99.9% 26.7
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max 32.5
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"""
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