icefall/egs/alimeeting/ASR/local/display_manifest_statistics.py
Mingshuang Luo beab229fd7
[Ready to merge] Pruned_transducer_stateless2 for alimeeting dataset (#378)
* add pruned-rnnt2 recipe for alimeeting dataset

* update code for merging

* change LilcomHdf5Writer to ChunkedLilcomHdf5Writer

* change for test.yml

* change for test.yml

* change for test.yml

* change for workflow yml

* change for yml

* change for yml

* change for README.md

* change for yml

* solve the conflicts

* solve the conflicts
2022-06-04 13:47:46 +08:00

97 lines
2.3 KiB
Python

# Copyright 2021 Xiaomi Corp. (authors: Fangjun Kuang
# Mingshuang Luo)
#
# 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 ../../../librispeech/ASR/transducer/train.py
for usage.
"""
from lhotse import load_manifest
def main():
paths = [
"./data/fbank/cuts_train.json.gz",
"./data/fbank/cuts_eval.json.gz",
"./data/fbank/cuts_test.json.gz",
]
for path in paths:
print(f"Starting display the statistics for {path}")
cuts = load_manifest(path)
cuts.describe()
if __name__ == "__main__":
main()
"""
Starting display the statistics for ./data/fbank/cuts_train.json.gz
Cuts count: 559092
Total duration (hours): 424.6
Speech duration (hours): 424.6 (100.0%)
***
Duration statistics (seconds):
mean 2.7
std 3.0
min 0.0
25% 0.7
50% 1.7
75% 3.6
99% 13.6
99.5% 14.7
99.9% 16.2
max 284.3
Starting display the statistics for ./data/fbank/cuts_eval.json.gz
Cuts count: 6457
Total duration (hours): 4.9
Speech duration (hours): 4.9 (100.0%)
***
Duration statistics (seconds):
mean 2.7
std 3.1
min 0.1
25% 0.6
50% 1.6
75% 3.5
99% 13.6
99.5% 14.1
99.9% 14.7
max 15.8
Starting display the statistics for ./data/fbank/cuts_test.json.gz
Cuts count: 16358
Total duration (hours): 12.5
Speech duration (hours): 12.5 (100.0%)
***
Duration statistics (seconds):
mean 2.7
std 2.9
min 0.1
25% 0.7
50% 1.7
75% 3.5
99% 13.7
99.5% 14.2
99.9% 14.8
max 15.7
"""