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74 lines
2.1 KiB
Python
74 lines
2.1 KiB
Python
#!/usr/bin/env python3
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# Copyright 2023 Xiaomi Corp. (authors: Xiaoyu 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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"""
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This file generates the manifest and computes the fbank features for AudioSet
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dataset. The generated manifests and features are stored in data/fbank.
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"""
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import argparse
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import lhotse
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from lhotse import load_manifest
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def get_parser():
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parser = argparse.ArgumentParser(
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formatter_class=argparse.ArgumentDefaultsHelpFormatter
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)
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parser.add_argument(
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"--input-manifest", type=str, default="data/fbank/cuts_audioset_full.jsonl.gz"
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)
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parser.add_argument(
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"--output",
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type=str,
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required=True,
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)
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return parser
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def main():
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# Reference: https://github.com/YuanGongND/ast/blob/master/egs/audioset/gen_weight_file.py
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parser = get_parser()
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args = parser.parse_args()
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cuts = load_manifest(args.input_manifest)
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print(f"A total of {len(cuts)} cuts.")
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label_count = [0] * 527 # a total of 527 classes
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for c in cuts:
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audio_event = c.supervisions[0].audio_event
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labels = list(map(int, audio_event.split(";")))
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for label in labels:
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label_count[label] += 1
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with open(args.output, "w") as f:
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for c in cuts:
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audio_event = c.supervisions[0].audio_event
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labels = list(map(int, audio_event.split(";")))
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weight = 0
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for label in labels:
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weight += 1000 / (label_count[label] + 0.01)
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f.write(f"{c.id} {weight}\n")
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if __name__ == "__main__":
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main()
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