mirror of
https://github.com/k2-fsa/icefall.git
synced 2025-08-08 09:32:20 +00:00
* pruned-transducer-stateless5 recipe for aishell4 * pruned-transducer-stateless5 recipe for aishell4 * do some changes and text normalize * do some changes * add text normalize * combine the training data and decode without webdataset * update codes for merging * Do a change for READMD.md
114 lines
2.7 KiB
Python
114 lines
2.7 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_S.json.gz",
|
|
"./data/fbank/cuts_train_M.json.gz",
|
|
"./data/fbank/cuts_train_L.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_S.json.gz
|
|
Cuts count: 91995
|
|
Total duration (hours): 95.8
|
|
Speech duration (hours): 95.8 (100.0%)
|
|
***
|
|
Duration statistics (seconds):
|
|
mean 3.7
|
|
std 7.1
|
|
min 0.1
|
|
25% 0.9
|
|
50% 2.5
|
|
75% 5.4
|
|
99% 15.3
|
|
99.5% 17.5
|
|
99.9% 23.3
|
|
max 1021.7
|
|
Starting display the statistics for ./data/fbank/cuts_train_M.json.gz
|
|
Cuts count: 177195
|
|
Total duration (hours): 179.5
|
|
Speech duration (hours): 179.5 (100.0%)
|
|
***
|
|
Duration statistics (seconds):
|
|
mean 3.6
|
|
std 6.4
|
|
min 0.0
|
|
25% 0.9
|
|
50% 2.4
|
|
75% 5.2
|
|
99% 14.9
|
|
99.5% 17.0
|
|
99.9% 23.5
|
|
max 990.4
|
|
Starting display the statistics for ./data/fbank/cuts_train_L.json.gz
|
|
Cuts count: 37572
|
|
Total duration (hours): 49.1
|
|
Speech duration (hours): 49.1 (100.0%)
|
|
***
|
|
Duration statistics (seconds):
|
|
mean 4.7
|
|
std 4.0
|
|
min 0.2
|
|
25% 1.6
|
|
50% 3.7
|
|
75% 6.7
|
|
99% 17.5
|
|
99.5% 19.8
|
|
99.9% 26.2
|
|
max 87.4
|
|
Starting display the statistics for ./data/fbank/cuts_test.json.gz
|
|
Cuts count: 10574
|
|
Total duration (hours): 12.1
|
|
Speech duration (hours): 12.1 (100.0%)
|
|
***
|
|
Duration statistics (seconds):
|
|
mean 4.1
|
|
std 3.4
|
|
min 0.2
|
|
25% 1.4
|
|
50% 3.2
|
|
75% 5.8
|
|
99% 14.4
|
|
99.5% 14.9
|
|
99.9% 16.5
|
|
max 17.9
|
|
"""
|