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101 lines
3.3 KiB
Python
101 lines
3.3 KiB
Python
# Copyright 2023 Xiaomi Corp. (authors: Yifan Yang)
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#
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# See ../../../../LICENSE for clarification regarding multiple authors
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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import glob
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import logging
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import re
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from pathlib import Path
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import lhotse
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from lhotse import CutSet, load_manifest_lazy
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class MultiDataset:
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def __init__(self, manifest_dir: str):
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"""
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Args:
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manifest_dir:
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It is expected to contain the following files:
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- librispeech_cuts_train-all-shuf.jsonl.gz
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- XL_split_2000/cuts_XL.*.jsonl.gz
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- cv-en_cuts_train.jsonl.gz
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- peoples_speech_train_split/peoples_speech_cuts_dirty.*.jsonl.gz
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- peoples_speech_train_split/peoples_speech_cuts_dirty_sa.*.jsonl.gz
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- peoples_speech_train_split/peoples_speech_cuts_clean.*.jsonl.gz
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- peoples_speech_train_split/peoples_speech_cuts_clean_sa.*.jsonl.gz
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"""
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self.manifest_dir = Path(manifest_dir)
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def train_cuts(self) -> CutSet:
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logging.info("About to get multidataset train cuts")
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# LibriSpeech
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logging.info("Loading LibriSpeech in lazy mode")
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librispeech_cuts = load_manifest_lazy(
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self.manifest_dir / "librispeech_cuts_train-all-shuf.jsonl.gz"
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)
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# GigaSpeech
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filenames = glob.glob(f"{self.manifest_dir}/XL_split/cuts_XL.*.jsonl.gz")
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pattern = re.compile(r"cuts_XL.([0-9]+).jsonl.gz")
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idx_filenames = ((int(pattern.search(f).group(1)), f) for f in filenames)
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idx_filenames = sorted(idx_filenames, key=lambda x: x[0])
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sorted_filenames = [f[1] for f in idx_filenames]
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logging.info(f"Loading GigaSpeech {len(sorted_filenames)} splits in lazy mode")
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gigaspeech_cuts = lhotse.combine(
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lhotse.load_manifest_lazy(p) for p in sorted_filenames
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)
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# CommonVoice
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logging.info("Loading CommonVoice in lazy mode")
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commonvoice_cuts = load_manifest_lazy(
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self.manifest_dir / f"cv-en_cuts_train.jsonl.gz"
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)
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# People's Speech
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sorted_filenames = sorted(
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glob.glob(
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f"{self.manifest_dir}/peoples_speech_train_split/peoples_speech_cuts_*[yna].*.jsonl.gz"
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)
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)
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logging.info(
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f"Loading People's Speech {len(sorted_filenames)} splits in lazy mode"
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)
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peoples_speech_cuts = lhotse.combine(
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lhotse.load_manifest_lazy(p) for p in sorted_filenames
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)
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return CutSet.mux(
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librispeech_cuts,
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gigaspeech_cuts,
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commonvoice_cuts,
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peoples_speech_cuts,
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weights=[
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len(librispeech_cuts),
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len(gigaspeech_cuts),
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len(commonvoice_cuts),
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len(peoples_speech_cuts),
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],
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)
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