Fangjun Kuang 2332ba312d
Begin to use multiple datasets in training (#213)
* Begin to use multiple datasets.

* Finish preparing training datasets.

* Minor fixes

* Copy files.

* Finish training code.

* Display losses for gigaspeech and librispeech separately.

* Fix decode.py

* Make the probability to select a batch from GigaSpeech configurable.

* Update results.

* Minor fixes.
2022-02-21 15:27:27 +08:00

75 lines
2.7 KiB
Python

# Copyright 2021 Piotr Żelasko
# 2022 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.
import logging
from pathlib import Path
from lhotse import CutSet, load_manifest
class LibriSpeech:
def __init__(self, manifest_dir: str):
"""
Args:
manifest_dir:
It is expected to contain the following files::
- cuts_dev-clean.json.gz
- cuts_dev-other.json.gz
- cuts_test-clean.json.gz
- cuts_test-other.json.gz
- cuts_train-clean-100.json.gz
- cuts_train-clean-360.json.gz
- cuts_train-other-500.json.gz
"""
self.manifest_dir = Path(manifest_dir)
def train_clean_100_cuts(self) -> CutSet:
f = self.manifest_dir / "cuts_train-clean-100.json.gz"
logging.info(f"About to get train-clean-100 cuts from {f}")
return load_manifest(f)
def train_clean_360_cuts(self) -> CutSet:
f = self.manifest_dir / "cuts_train-clean-360.json.gz"
logging.info(f"About to get train-clean-360 cuts from {f}")
return load_manifest(f)
def train_other_500_cuts(self) -> CutSet:
f = self.manifest_dir / "cuts_train-other-500.json.gz"
logging.info(f"About to get train-other-500 cuts from {f}")
return load_manifest(f)
def test_clean_cuts(self) -> CutSet:
f = self.manifest_dir / "cuts_test-clean.json.gz"
logging.info(f"About to get test-clean cuts from {f}")
return load_manifest(f)
def test_other_cuts(self) -> CutSet:
f = self.manifest_dir / "cuts_test-other.json.gz"
logging.info(f"About to get test-other cuts from {f}")
return load_manifest(f)
def dev_clean_cuts(self) -> CutSet:
f = self.manifest_dir / "cuts_dev-clean.json.gz"
logging.info(f"About to get dev-clean cuts from {f}")
return load_manifest(f)
def dev_other_cuts(self) -> CutSet:
f = self.manifest_dir / "cuts_dev-other.json.gz"
logging.info(f"About to get dev-other cuts from {f}")
return load_manifest(f)