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clean unused files

This commit is contained in:
chenfeiyu 2020-03-10 01:54:08 +00:00
parent 9090f9a5bd
commit 79e4093a8b
4 changed files with 0 additions and 221 deletions
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1
examples/train.sh
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# train deepvoice 3 with ljspeech (just a place holder now)

171
notebooks/spec_show.ipynb
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24
tests/test_ljspeech.py
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# Copyright (c) 2020 PaddlePaddle Authors. All Rights Reserved.
#
# 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.
from parakeet.datasets.ljspeech import LJSpeech
from parakeet.data.datacargo import DataCargo
from pathlib import Path
LJSPEECH_ROOT = Path("/workspace/datasets/LJSpeech-1.1")
ljspeech = LJSpeech(LJSPEECH_ROOT)
ljspeech_cargo = DataCargo(ljspeech, batch_size=16, shuffle=True)
for i, batch in enumerate(ljspeech_cargo):
print(i)

25
tests/test_vctk.py
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# Copyright (c) 2020 PaddlePaddle Authors. All Rights Reserved.
#
# 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.
from parakeet.datasets import vctk
from pathlib import Path
from parakeet.data.datacargo import DataCargo
root = Path("/workspace/datasets/VCTK-Corpus")
vctk_dataset = vctk.VCTK(root)
vctk_cargo = DataCargo(
vctk_dataset, batch_size=16, shuffle=True, drop_last=True)
for i, batch in enumerate(vctk_cargo):
print(i)