mirror of
https://github.com/k2-fsa/icefall.git
synced 2025-08-26 10:16:14 +00:00
minor updates
This commit is contained in:
parent
c236757674
commit
d45b400805
@ -85,10 +85,10 @@ if [ $stage -le 3 ] && [ $stop_stage -ge 3 ]; then
|
|||||||
# Here we shuffle and combine the train-clean-100, train-clean-360 and
|
# Here we shuffle and combine the train-clean-100, train-clean-360 and
|
||||||
# train-other-500 together to form the training set.
|
# train-other-500 together to form the training set.
|
||||||
if [ ! -f data/fbank/libritts_cuts_train-all-shuf.jsonl.gz ]; then
|
if [ ! -f data/fbank/libritts_cuts_train-all-shuf.jsonl.gz ]; then
|
||||||
cat <(gunzip -c ./libritts_cuts_train-clean-100.jsonl.gz) \
|
cat <(gunzip -c data/fbank/libritts_cuts_train-clean-100.jsonl.gz) \
|
||||||
<(gunzip -c ./libritts_cuts_train-clean-360.jsonl.gz) \
|
<(gunzip -c data/fbank/libritts_cuts_train-clean-360.jsonl.gz) \
|
||||||
<(gunzip -c ./libritts_cuts_train-other-500.jsonl.gz) | \
|
<(gunzip -c data/fbank/libritts_cuts_train-other-500.jsonl.gz) | \
|
||||||
shuf | gzip -c > ./libritts_cuts_train-all-shuf.jsonl.gz
|
shuf | gzip -c > data/fbank/libritts_cuts_train-all-shuf.jsonl.gz
|
||||||
fi
|
fi
|
||||||
|
|
||||||
if [ ! -e data/fbank/.libritts-validated.done ]; then
|
if [ ! -e data/fbank/.libritts-validated.done ]; then
|
||||||
@ -106,4 +106,4 @@ if [ $stage -le 4 ] && [ $stop_stage -ge 4 ]; then
|
|||||||
./local/compute_fbank_musan.py
|
./local/compute_fbank_musan.py
|
||||||
touch data/fbank/.msuan.done
|
touch data/fbank/.msuan.done
|
||||||
fi
|
fi
|
||||||
fi
|
fi
|
||||||
|
@ -46,6 +46,7 @@ from icefall.utils import get_executor
|
|||||||
torch.set_num_threads(1)
|
torch.set_num_threads(1)
|
||||||
torch.set_num_interop_threads(1)
|
torch.set_num_interop_threads(1)
|
||||||
|
|
||||||
|
|
||||||
def get_args():
|
def get_args():
|
||||||
parser = argparse.ArgumentParser()
|
parser = argparse.ArgumentParser()
|
||||||
|
|
||||||
@ -64,12 +65,13 @@ def get_args():
|
|||||||
return parser.parse_args()
|
return parser.parse_args()
|
||||||
|
|
||||||
|
|
||||||
def compute_spectrogram_libritts(dataset: Optional[str] = None, sampling_rate: int = 24000,):
|
def compute_spectrogram_libritts(
|
||||||
|
dataset: Optional[str] = None, sampling_rate: int = 24000
|
||||||
|
):
|
||||||
src_dir = Path("data/manifests")
|
src_dir = Path("data/manifests")
|
||||||
output_dir = Path("data/spectrogram")
|
output_dir = Path("data/spectrogram")
|
||||||
num_jobs = min(32, os.cpu_count())
|
num_jobs = min(32, os.cpu_count())
|
||||||
|
|
||||||
|
|
||||||
frame_length = 1024 / sampling_rate # (in second)
|
frame_length = 1024 / sampling_rate # (in second)
|
||||||
frame_shift = 256 / sampling_rate # (in second)
|
frame_shift = 256 / sampling_rate # (in second)
|
||||||
use_fft_mag = True
|
use_fft_mag = True
|
341
egs/libritts/CODEC/local/display_manifest_statistics.py
Executable file
341
egs/libritts/CODEC/local/display_manifest_statistics.py
Executable file
@ -0,0 +1,341 @@
|
|||||||
|
#!/usr/bin/env python3
|
||||||
|
# Copyright 2023 Xiaomi Corp. (authors: Zengwei Yao)
|
||||||
|
# 2024 The Chinese Univ. of HK (authors: Zengrui Jin)
|
||||||
|
#
|
||||||
|
# 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.
|
||||||
|
"""
|
||||||
|
|
||||||
|
|
||||||
|
from lhotse import load_manifest_lazy
|
||||||
|
|
||||||
|
|
||||||
|
def main():
|
||||||
|
paths = [
|
||||||
|
"./data/spectrogram/libritts_cuts_train-clean-100.jsonl.gz",
|
||||||
|
"./data/spectrogram/libritts_cuts_train-clean-360.jsonl.gz",
|
||||||
|
"./data/spectrogram/libritts_cuts_train-other-500.jsonl.gz",
|
||||||
|
"./data/spectrogram/libritts_cuts_dev-clean.jsonl.gz",
|
||||||
|
"./data/spectrogram/libritts_cuts_dev-other.jsonl.gz",
|
||||||
|
"./data/spectrogram/libritts_cuts_test-clean.jsonl.gz",
|
||||||
|
"./data/spectrogram/libritts_cuts_test-other.jsonl.gz",
|
||||||
|
]
|
||||||
|
for path in paths:
|
||||||
|
cuts = load_manifest_lazy(path)
|
||||||
|
cuts.describe()
|
||||||
|
|
||||||
|
|
||||||
|
if __name__ == "__main__":
|
||||||
|
main()
|
||||||
|
|
||||||
|
"""
|
||||||
|
./data/spectrogram/libritts_cuts_train-clean-100.jsonl.gz statistics:
|
||||||
|
________________________________________
|
||||||
|
_ Cuts count: _ 33236 _
|
||||||
|
________________________________________
|
||||||
|
_ Total duration (hh:mm:ss) _ 53:47:18 _
|
||||||
|
________________________________________
|
||||||
|
_ mean _ 5.8 _
|
||||||
|
________________________________________
|
||||||
|
_ std _ 4.6 _
|
||||||
|
________________________________________
|
||||||
|
_ min _ 0.2 _
|
||||||
|
________________________________________
|
||||||
|
_ 25% _ 2.4 _
|
||||||
|
________________________________________
|
||||||
|
_ 50% _ 4.5 _
|
||||||
|
________________________________________
|
||||||
|
_ 75% _ 7.9 _
|
||||||
|
________________________________________
|
||||||
|
_ 99% _ 21.4 _
|
||||||
|
________________________________________
|
||||||
|
_ 99.5% _ 23.7 _
|
||||||
|
________________________________________
|
||||||
|
_ 99.9% _ 27.8 _
|
||||||
|
________________________________________
|
||||||
|
_ max _ 33.2 _
|
||||||
|
________________________________________
|
||||||
|
_ Recordings available: _ 33236 _
|
||||||
|
________________________________________
|
||||||
|
_ Features available: _ 33236 _
|
||||||
|
________________________________________
|
||||||
|
_ Supervisions available: _ 33236 _
|
||||||
|
________________________________________
|
||||||
|
SUPERVISION custom fields:
|
||||||
|
Speech duration statistics:
|
||||||
|
__________________________________________________________________
|
||||||
|
_ Total speech duration _ 53:47:18 _ 100.00% of recording _
|
||||||
|
__________________________________________________________________
|
||||||
|
_ Total speaking time duration _ 53:47:18 _ 100.00% of recording _
|
||||||
|
__________________________________________________________________
|
||||||
|
_ Total silence duration _ 00:00:01 _ 0.00% of recording _
|
||||||
|
__________________________________________________________________
|
||||||
|
|
||||||
|
./data/spectrogram/libritts_cuts_train-clean-360.jsonl.gz statistics:
|
||||||
|
_________________________________________
|
||||||
|
_ Cuts count: _ 116500 _
|
||||||
|
_________________________________________
|
||||||
|
_ Total duration (hh:mm:ss) _ 191:17:42 _
|
||||||
|
_________________________________________
|
||||||
|
_ mean _ 5.9 _
|
||||||
|
_________________________________________
|
||||||
|
_ std _ 4.6 _
|
||||||
|
_________________________________________
|
||||||
|
_ min _ 0.1 _
|
||||||
|
_________________________________________
|
||||||
|
_ 25% _ 2.4 _
|
||||||
|
_________________________________________
|
||||||
|
_ 50% _ 4.6 _
|
||||||
|
_________________________________________
|
||||||
|
_ 75% _ 8.1 _
|
||||||
|
_________________________________________
|
||||||
|
_ 99% _ 21.3 _
|
||||||
|
_________________________________________
|
||||||
|
_ 99.5% _ 23.4 _
|
||||||
|
_________________________________________
|
||||||
|
_ 99.9% _ 27.4 _
|
||||||
|
_________________________________________
|
||||||
|
_ max _ 40.4 _
|
||||||
|
_________________________________________
|
||||||
|
_ Recordings available: _ 116500 _
|
||||||
|
_________________________________________
|
||||||
|
_ Features available: _ 116500 _
|
||||||
|
_________________________________________
|
||||||
|
_ Supervisions available: _ 116500 _
|
||||||
|
_________________________________________
|
||||||
|
SUPERVISION custom fields:
|
||||||
|
Speech duration statistics:
|
||||||
|
___________________________________________________________________
|
||||||
|
_ Total speech duration _ 191:17:42 _ 100.00% of recording _
|
||||||
|
___________________________________________________________________
|
||||||
|
_ Total speaking time duration _ 191:17:42 _ 100.00% of recording _
|
||||||
|
___________________________________________________________________
|
||||||
|
_ Total silence duration _ 00:00:01 _ 0.00% of recording _
|
||||||
|
___________________________________________________________________
|
||||||
|
|
||||||
|
./data/spectrogram/libritts_cuts_train-other-500.jsonl.gz statistics:
|
||||||
|
_________________________________________
|
||||||
|
_ Cuts count: _ 205043 _
|
||||||
|
_________________________________________
|
||||||
|
_ Total duration (hh:mm:ss) _ 310:04:36 _
|
||||||
|
_________________________________________
|
||||||
|
_ mean _ 5.4 _
|
||||||
|
_________________________________________
|
||||||
|
_ std _ 4.4 _
|
||||||
|
_________________________________________
|
||||||
|
_ min _ 0.1 _
|
||||||
|
_________________________________________
|
||||||
|
_ 25% _ 2.3 _
|
||||||
|
_________________________________________
|
||||||
|
_ 50% _ 4.2 _
|
||||||
|
_________________________________________
|
||||||
|
_ 75% _ 7.3 _
|
||||||
|
_________________________________________
|
||||||
|
_ 99% _ 20.6 _
|
||||||
|
_________________________________________
|
||||||
|
_ 99.5% _ 22.8 _
|
||||||
|
_________________________________________
|
||||||
|
_ 99.9% _ 27.4 _
|
||||||
|
_________________________________________
|
||||||
|
_ max _ 43.9 _
|
||||||
|
_________________________________________
|
||||||
|
_ Recordings available: _ 205043 _
|
||||||
|
_________________________________________
|
||||||
|
_ Features available: _ 205043 _
|
||||||
|
_________________________________________
|
||||||
|
_ Supervisions available: _ 205043 _
|
||||||
|
_________________________________________
|
||||||
|
SUPERVISION custom fields:
|
||||||
|
Speech duration statistics:
|
||||||
|
___________________________________________________________________
|
||||||
|
_ Total speech duration _ 310:04:36 _ 100.00% of recording _
|
||||||
|
___________________________________________________________________
|
||||||
|
_ Total speaking time duration _ 310:04:36 _ 100.00% of recording _
|
||||||
|
___________________________________________________________________
|
||||||
|
_ Total silence duration _ 00:00:01 _ 0.00% of recording _
|
||||||
|
___________________________________________________________________
|
||||||
|
|
||||||
|
./data/spectrogram/libritts_cuts_dev-clean.jsonl.gz statistics:
|
||||||
|
________________________________________
|
||||||
|
_ Cuts count: _ 5736 _
|
||||||
|
________________________________________
|
||||||
|
_ Total duration (hh:mm:ss) _ 08:58:13 _
|
||||||
|
________________________________________
|
||||||
|
_ mean _ 5.6 _
|
||||||
|
________________________________________
|
||||||
|
_ std _ 4.3 _
|
||||||
|
________________________________________
|
||||||
|
_ min _ 0.3 _
|
||||||
|
________________________________________
|
||||||
|
_ 25% _ 2.4 _
|
||||||
|
________________________________________
|
||||||
|
_ 50% _ 4.4 _
|
||||||
|
________________________________________
|
||||||
|
_ 75% _ 7.8 _
|
||||||
|
________________________________________
|
||||||
|
_ 99% _ 19.9 _
|
||||||
|
________________________________________
|
||||||
|
_ 99.5% _ 21.9 _
|
||||||
|
________________________________________
|
||||||
|
_ 99.9% _ 26.3 _
|
||||||
|
________________________________________
|
||||||
|
_ max _ 30.1 _
|
||||||
|
________________________________________
|
||||||
|
_ Recordings available: _ 5736 _
|
||||||
|
________________________________________
|
||||||
|
_ Features available: _ 5736 _
|
||||||
|
________________________________________
|
||||||
|
_ Supervisions available: _ 5736 _
|
||||||
|
________________________________________
|
||||||
|
SUPERVISION custom fields:
|
||||||
|
Speech duration statistics:
|
||||||
|
__________________________________________________________________
|
||||||
|
_ Total speech duration _ 08:58:13 _ 100.00% of recording _
|
||||||
|
__________________________________________________________________
|
||||||
|
_ Total speaking time duration _ 08:58:13 _ 100.00% of recording _
|
||||||
|
__________________________________________________________________
|
||||||
|
_ Total silence duration _ 00:00:01 _ 0.00% of recording _
|
||||||
|
__________________________________________________________________
|
||||||
|
|
||||||
|
./data/spectrogram/libritts_cuts_dev-other.jsonl.gz statistics:
|
||||||
|
________________________________________
|
||||||
|
_ Cuts count: _ 4613 _
|
||||||
|
________________________________________
|
||||||
|
_ Total duration (hh:mm:ss) _ 06:25:52 _
|
||||||
|
________________________________________
|
||||||
|
_ mean _ 5.0 _
|
||||||
|
________________________________________
|
||||||
|
_ std _ 4.1 _
|
||||||
|
________________________________________
|
||||||
|
_ min _ 0.3 _
|
||||||
|
________________________________________
|
||||||
|
_ 25% _ 2.2 _
|
||||||
|
________________________________________
|
||||||
|
_ 50% _ 3.8 _
|
||||||
|
________________________________________
|
||||||
|
_ 75% _ 6.5 _
|
||||||
|
________________________________________
|
||||||
|
_ 99% _ 19.7 _
|
||||||
|
________________________________________
|
||||||
|
_ 99.5% _ 24.5 _
|
||||||
|
________________________________________
|
||||||
|
_ 99.9% _ 31.0 _
|
||||||
|
________________________________________
|
||||||
|
_ max _ 32.6 _
|
||||||
|
________________________________________
|
||||||
|
_ Recordings available: _ 4613 _
|
||||||
|
________________________________________
|
||||||
|
_ Features available: _ 4613 _
|
||||||
|
________________________________________
|
||||||
|
_ Supervisions available: _ 4613 _
|
||||||
|
________________________________________
|
||||||
|
SUPERVISION custom fields:
|
||||||
|
Speech duration statistics:
|
||||||
|
__________________________________________________________________
|
||||||
|
_ Total speech duration _ 06:25:52 _ 100.00% of recording _
|
||||||
|
__________________________________________________________________
|
||||||
|
_ Total speaking time duration _ 06:25:52 _ 100.00% of recording _
|
||||||
|
__________________________________________________________________
|
||||||
|
_ Total silence duration _ 00:00:01 _ 0.00% of recording _
|
||||||
|
__________________________________________________________________
|
||||||
|
|
||||||
|
./data/spectrogram/libritts_cuts_test-clean.jsonl.gz statistics:
|
||||||
|
________________________________________
|
||||||
|
_ Cuts count: _ 4837 _
|
||||||
|
________________________________________
|
||||||
|
_ Total duration (hh:mm:ss) _ 08:34:09 _
|
||||||
|
________________________________________
|
||||||
|
_ mean _ 6.4 _
|
||||||
|
________________________________________
|
||||||
|
_ std _ 5.1 _
|
||||||
|
________________________________________
|
||||||
|
_ min _ 0.3 _
|
||||||
|
________________________________________
|
||||||
|
_ 25% _ 2.4 _
|
||||||
|
________________________________________
|
||||||
|
_ 50% _ 4.8 _
|
||||||
|
________________________________________
|
||||||
|
_ 75% _ 8.9 _
|
||||||
|
________________________________________
|
||||||
|
_ 99% _ 22.6 _
|
||||||
|
________________________________________
|
||||||
|
_ 99.5% _ 24.4 _
|
||||||
|
________________________________________
|
||||||
|
_ 99.9% _ 29.6 _
|
||||||
|
________________________________________
|
||||||
|
_ max _ 36.7 _
|
||||||
|
________________________________________
|
||||||
|
_ Recordings available: _ 4837 _
|
||||||
|
________________________________________
|
||||||
|
_ Features available: _ 4837 _
|
||||||
|
________________________________________
|
||||||
|
_ Supervisions available: _ 4837 _
|
||||||
|
________________________________________
|
||||||
|
SUPERVISION custom fields:
|
||||||
|
Speech duration statistics:
|
||||||
|
__________________________________________________________________
|
||||||
|
_ Total speech duration _ 08:34:09 _ 100.00% of recording _
|
||||||
|
__________________________________________________________________
|
||||||
|
_ Total speaking time duration _ 08:34:09 _ 100.00% of recording _
|
||||||
|
__________________________________________________________________
|
||||||
|
_ Total silence duration _ 00:00:01 _ 0.00% of recording _
|
||||||
|
__________________________________________________________________
|
||||||
|
|
||||||
|
./data/spectrogram/libritts_cuts_test-other.jsonl.gz statistics:
|
||||||
|
________________________________________
|
||||||
|
_ Cuts count: _ 5120 _
|
||||||
|
________________________________________
|
||||||
|
_ Total duration (hh:mm:ss) _ 06:41:31 _
|
||||||
|
________________________________________
|
||||||
|
_ mean _ 4.7 _
|
||||||
|
________________________________________
|
||||||
|
_ std _ 3.8 _
|
||||||
|
________________________________________
|
||||||
|
_ min _ 0.3 _
|
||||||
|
________________________________________
|
||||||
|
_ 25% _ 1.8 _
|
||||||
|
________________________________________
|
||||||
|
_ 50% _ 3.6 _
|
||||||
|
________________________________________
|
||||||
|
_ 75% _ 6.5 _
|
||||||
|
________________________________________
|
||||||
|
_ 99% _ 17.8 _
|
||||||
|
________________________________________
|
||||||
|
_ 99.5% _ 20.4 _
|
||||||
|
________________________________________
|
||||||
|
_ 99.9% _ 23.8 _
|
||||||
|
________________________________________
|
||||||
|
_ max _ 27.3 _
|
||||||
|
________________________________________
|
||||||
|
_ Recordings available: _ 5120 _
|
||||||
|
________________________________________
|
||||||
|
_ Features available: _ 5120 _
|
||||||
|
________________________________________
|
||||||
|
_ Supervisions available: _ 5120 _
|
||||||
|
________________________________________
|
||||||
|
SUPERVISION custom fields:
|
||||||
|
Speech duration statistics:
|
||||||
|
__________________________________________________________________
|
||||||
|
_ Total speech duration _ 06:41:31 _ 100.00% of recording _
|
||||||
|
__________________________________________________________________
|
||||||
|
_ Total speaking time duration _ 06:41:31 _ 100.00% of recording _
|
||||||
|
__________________________________________________________________
|
||||||
|
_ Total silence duration _ 00:00:01 _ 0.00% of recording _
|
||||||
|
__________________________________________________________________
|
||||||
|
"""
|
1
egs/libritts/CODEC/local/validate_manifest.py
Symbolic link
1
egs/libritts/CODEC/local/validate_manifest.py
Symbolic link
@ -0,0 +1 @@
|
|||||||
|
../../../ljspeech/TTS/local/validate_manifest.py
|
87
egs/libritts/CODEC/prepare.sh
Executable file
87
egs/libritts/CODEC/prepare.sh
Executable file
@ -0,0 +1,87 @@
|
|||||||
|
#!/usr/bin/env bash
|
||||||
|
|
||||||
|
# fix segmentation fault reported in https://github.com/k2-fsa/icefall/issues/674
|
||||||
|
export PROTOCOL_BUFFERS_PYTHON_IMPLEMENTATION=python
|
||||||
|
|
||||||
|
set -eou pipefail
|
||||||
|
|
||||||
|
stage=0
|
||||||
|
stop_stage=100
|
||||||
|
sampling_rate=24000
|
||||||
|
nj=32
|
||||||
|
|
||||||
|
dl_dir=$PWD/download
|
||||||
|
|
||||||
|
. shared/parse_options.sh || exit 1
|
||||||
|
|
||||||
|
# All files generated by this script are saved in "data".
|
||||||
|
# You can safely remove "data" and rerun this script to regenerate it.
|
||||||
|
mkdir -p data
|
||||||
|
|
||||||
|
log() {
|
||||||
|
# This function is from espnet
|
||||||
|
local fname=${BASH_SOURCE[1]##*/}
|
||||||
|
echo -e "$(date '+%Y-%m-%d %H:%M:%S') (${fname}:${BASH_LINENO[0]}:${FUNCNAME[1]}) $*"
|
||||||
|
}
|
||||||
|
|
||||||
|
log "dl_dir: $dl_dir"
|
||||||
|
|
||||||
|
if [ $stage -le 0 ] && [ $stop_stage -ge 0 ]; then
|
||||||
|
log "Stage 0: Download data"
|
||||||
|
|
||||||
|
# If you have pre-downloaded it to /path/to/LibriTTS,
|
||||||
|
# you can create a symlink
|
||||||
|
#
|
||||||
|
# ln -sfv /path/to/LibriTTS $dl_dir/LibriTTS
|
||||||
|
#
|
||||||
|
if [ ! -d $dl_dir/LibriTTS ]; then
|
||||||
|
lhotse download libritts $dl_dir
|
||||||
|
fi
|
||||||
|
|
||||||
|
# If you have pre-downloaded it to /path/to/musan,
|
||||||
|
# you can create a symlink
|
||||||
|
#
|
||||||
|
# ln -sfv /path/to/musan $dl_dir/musan
|
||||||
|
#
|
||||||
|
if [ ! -d $dl_dir/musan ]; then
|
||||||
|
lhotse download musan $dl_dir
|
||||||
|
fi
|
||||||
|
fi
|
||||||
|
|
||||||
|
if [ $stage -le 1 ] && [ $stop_stage -ge 1 ]; then
|
||||||
|
log "Stage 1: Prepare LibriTTS manifest"
|
||||||
|
# We assume that you have downloaded the LibriTTS corpus
|
||||||
|
# to $dl_dir/LibriTTS
|
||||||
|
mkdir -p data/manifests
|
||||||
|
if [ ! -e data/manifests/.libritts.done ]; then
|
||||||
|
lhotse prepare libritts --num-jobs 32 $dl_dir/LibriTTS data/manifests
|
||||||
|
touch data/manifests/.libritts.done
|
||||||
|
fi
|
||||||
|
fi
|
||||||
|
|
||||||
|
|
||||||
|
if [ $stage -le 2 ] && [ $stop_stage -ge 2 ]; then
|
||||||
|
log "Stage 2: Compute Spectrogram for LibriTTS"
|
||||||
|
mkdir -p data/spectrogram
|
||||||
|
if [ ! -e data/spectrogram/.libritts.done ]; then
|
||||||
|
./local/compute_spectrogram_libritts.py --sampling-rate $sampling_rate
|
||||||
|
touch data/spectrogram/.libritts.done
|
||||||
|
fi
|
||||||
|
|
||||||
|
# Here we shuffle and combine the train-clean-100, train-clean-360 and
|
||||||
|
# train-other-500 together to form the training set.
|
||||||
|
if [ ! -f data/spectrogram/libritts_cuts_train-all-shuf.jsonl.gz ]; then
|
||||||
|
cat <(gunzip -c data/spectrogram/libritts_cuts_train-clean-100.jsonl.gz) \
|
||||||
|
<(gunzip -c data/spectrogram/libritts_cuts_train-clean-360.jsonl.gz) \
|
||||||
|
<(gunzip -c /data/spectrogramlibritts_cuts_train-other-500.jsonl.gz) | \
|
||||||
|
shuf | gzip -c > data/spectrogram/libritts_cuts_train-all-shuf.jsonl.gz
|
||||||
|
fi
|
||||||
|
|
||||||
|
if [ ! -e data/spectrogram/.libritts-validated.done ]; then
|
||||||
|
log "Validating data/spectrogram for LibriTTS"
|
||||||
|
./local/validate_manifest.py \
|
||||||
|
data/spectrogram/libritts_cuts_train-all-shuf.jsonl.gz
|
||||||
|
touch data/spectrogram/.libritts-validated.done
|
||||||
|
fi
|
||||||
|
fi
|
||||||
|
|
1
egs/libritts/CODEC/shared
Symbolic link
1
egs/libritts/CODEC/shared
Symbolic link
@ -0,0 +1 @@
|
|||||||
|
../../../icefall/shared/
|
Loading…
x
Reference in New Issue
Block a user