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https://github.com/k2-fsa/icefall.git
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50d2281524
* Add modified transducer for aishell. * Minor fixes. * Add extra data in transducer training. The extra data is from http://www.openslr.org/62/ * Update export.py and pretrained.py * Update CI to install pretrained models with aishell. * Update results. * Update results. * Update README. * Use symlinks to avoid copies.
197 lines
3.6 KiB
Python
Executable File
197 lines
3.6 KiB
Python
Executable File
#!/usr/bin/env python3
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# Copyright 2021 Xiaomi Corp. (authors: Fangjun Kuang)
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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 transducer_stateless/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_test.json.gz"
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# path = "./data/fbank/cuts_dev.json.gz"
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# path = "./data/fbank/aidatatang_200zh/cuts_train_raw.jsonl.gz"
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# path = "./data/fbank/aidatatang_200zh/cuts_test_raw.jsonl.gz"
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path = "./data/fbank/aidatatang_200zh/cuts_dev_raw.jsonl.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 (after speed perturb)
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Cuts count: 360294
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Total duration (hours): 455.6
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Speech duration (hours): 455.6 (100.0%)
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***
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Duration statistics (seconds):
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mean 4.6
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std 1.4
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min 1.1
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0.1% 1.8
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0.5% 2.2
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1% 2.3
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5% 2.7
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10% 3.0
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10% 3.0
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25% 3.5
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50% 4.3
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75% 5.4
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90% 6.5
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95% 7.2
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99% 8.8
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99.5% 9.4
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99.9% 10.9
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max 16.1
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## test
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Cuts count: 7176
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Total duration (hours): 10.0
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Speech duration (hours): 10.0 (100.0%)
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***
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Duration statistics (seconds):
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mean 5.0
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std 1.6
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min 1.9
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0.1% 2.2
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0.5% 2.4
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1% 2.6
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5% 3.0
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10% 3.2
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10% 3.2
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25% 3.8
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50% 4.7
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75% 5.9
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90% 7.3
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95% 8.2
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99% 9.9
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99.5% 10.7
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99.9% 11.9
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max 14.7
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## dev
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Cuts count: 14326
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Total duration (hours): 18.1
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Speech duration (hours): 18.1 (100.0%)
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***
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Duration statistics (seconds):
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mean 4.5
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std 1.3
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min 1.6
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0.1% 2.1
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0.5% 2.3
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1% 2.4
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5% 2.9
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10% 3.1
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10% 3.1
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25% 3.5
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50% 4.3
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75% 5.4
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90% 6.4
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95% 7.0
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99% 8.4
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99.5% 8.9
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99.9% 10.3
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max 12.5
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## aidatatang_200zh (train)
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Cuts count: 164905
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Total duration (hours): 139.9
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Speech duration (hours): 139.9 (100.0%)
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***
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Duration statistics (seconds):
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mean 3.1
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std 1.1
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min 1.1
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0.1% 1.5
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0.5% 1.7
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1% 1.8
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5% 2.0
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10% 2.1
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10% 2.1
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25% 2.3
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50% 2.7
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75% 3.4
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90% 4.6
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95% 5.4
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99% 7.1
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99.5% 7.8
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99.9% 9.1
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max 16.3
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## aidatatang_200zh (test)
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Cuts count: 48144
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Total duration (hours): 40.2
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Speech duration (hours): 40.2 (100.0%)
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***
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Duration statistics (seconds):
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mean 3.0
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std 1.1
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min 0.9
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0.1% 1.5
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0.5% 1.8
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1% 1.8
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5% 2.0
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10% 2.1
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10% 2.1
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25% 2.3
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50% 2.6
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75% 3.4
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90% 4.4
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95% 5.2
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99% 6.9
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99.5% 7.5
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99.9% 9.0
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max 21.8
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## aidatatang_200zh (dev)
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Cuts count: 24216
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Total duration (hours): 20.2
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Speech duration (hours): 20.2 (100.0%)
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***
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Duration statistics (seconds):
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mean 3.0
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std 1.0
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min 1.2
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0.1% 1.6
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0.5% 1.7
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1% 1.8
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5% 2.0
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10% 2.1
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10% 2.1
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25% 2.3
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50% 2.7
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75% 3.4
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90% 4.4
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95% 5.1
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99% 6.7
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99.5% 7.3
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99.9% 8.8
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max 11.3
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"""
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