icefall/egs/mgb2/ASR/local/display_manifest_statistics.py
Amir Hussein 6f71981667
MGB2 (#396)
* mgb2

* mgb2

* adding pruned transducer stateless to mgb2

* update display_manifest_statistics.py

* .

* stateless transducer MGB-2

* Update README.md

* Update RESULTS.md

* Update prepare_lang_bpe.py

* Update asr_datamodule.py

* .nfs removed

* Adding symlink

* .

* resolving conflicts

* Update .gitignore

* black formatting

* Update compile_hlg.py

* Update compute_fbank_musan.py

* Update convert_transcript_words_to_tokens.py

* Update download_lm.py

* Update generate_unique_lexicon.py

* adding simlinks

* fixing symbolic links
2022-12-02 10:58:34 +08:00

98 lines
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Python
Executable File

#!/usr/bin/env python3
# Copyright 2021 Xiaomi Corp. (authors: Fangjun Kuang)
#
# See ../../../../LICENSE for clarification regarding multiple authors
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
"""
This file displays duration statistics of utterances in a manifest.
You can use the displayed value to choose minimum/maximum duration
to remove short and long utterances during the training.
See the function `remove_short_and_long_utt()` in transducer/train.py
for usage.
"""
from lhotse import load_manifest
def main():
# path = "./data/fbank/cuts_train.jsonl.gz"
path = "./data/fbank/cuts_dev.jsonl.gz"
# path = "./data/fbank/cuts_test.jsonl.gz"
cuts = load_manifest(path)
cuts.describe()
if __name__ == "__main__":
main()
"""
# train
Cuts count: 1125309
Total duration (hours): 3403.9
Speech duration (hours): 3403.9 (100.0%)
***
Duration statistics (seconds):
mean 10.9
std 10.1
min 0.2
25% 5.2
50% 7.8
75% 12.7
99% 52.0
99.5% 65.1
99.9% 99.5
max 228.9
# test
Cuts count: 5365
Total duration (hours): 9.6
Speech duration (hours): 9.6 (100.0%)
***
Duration statistics (seconds):
mean 6.4
std 1.5
min 1.6
25% 5.3
50% 6.5
75% 7.6
99% 9.5
99.5% 9.7
99.9% 10.3
max 12.4
# dev
Cuts count: 5002
Total duration (hours): 8.5
Speech duration (hours): 8.5 (100.0%)
***
Duration statistics (seconds):
mean 6.1
std 1.7
min 1.5
25% 4.8
50% 6.2
75% 7.4
99% 9.5
99.5% 9.7
99.9% 10.1
max 20.3
"""