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* Copy files for editing. * Use librispeech + gigaspeech with modified conformer. * Support specifying number of workers for on-the-fly feature extraction. * Feature extraction code for GigaSpeech. * Combine XL splits lazily during training. * Fix warnings in decoding. * Add decoding code for GigaSpeech. * Fix decoding the gigaspeech dataset. We have to use the decoder/joiner networks for the GigaSpeech dataset. * Disable speed perturbe for XL subset. * Compute the Nbest oracle WER for RNN-T decoding. * Minor fixes. * Minor fixes. * Add results. * Update results. * Update CI. * Update results. * Fix style issues. * Update results. * Fix style issues.
52 lines
1.4 KiB
Python
Executable File
52 lines
1.4 KiB
Python
Executable File
#!/usr/bin/env python3
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# Copyright 2022 Xiaomi Corp. (authors: Fangjun Kuang)
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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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"""
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This file can be used to check if any split is corrupted.
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"""
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import glob
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import re
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import lhotse
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def main():
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d = "data/fbank/XL_split_2000"
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filenames = list(glob.glob(f"{d}/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(c).group(1)), c) for c in filenames]
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idx_filenames = sorted(idx_filenames, key=lambda x: x[0])
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print(f"Loading {len(idx_filenames)} splits")
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s = 0
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for i, f in idx_filenames:
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cuts = lhotse.load_manifest_lazy(f)
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print(i, "filename", f)
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for i, c in enumerate(cuts):
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s += c.features.load().shape[0]
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if i > 5:
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break
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if __name__ == "__main__":
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main()
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