{
 "id": "mcernak/EARS-EMO-OpenACE",
 "owner": "mcernak",
 "name": "EARS-EMO-OpenACE",
 "downloads": 108,
 "likes": 2,
 "last_modified": "2025-08-04T16:34:29.000Z",
 "stated_licence": "mit",
 "stated_from": "tag",
 "licence_name": null,
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 "file_licence": null,
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 "sources": [],
 "gated": false,
 "tasks": [
  "audio-classification",
  "audio-to-audio"
 ],
 "citation": "@inproceedings{OpenACE-Coldenhoff2025,\n  author={Coldenhoff, Jozef and Granqvist, Niclas and Cernak, Milos},\n  booktitle={ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)}, \n  title={{OpenACE: An Open Benchmark for Evaluating Audio Coding Performance}}, \n  year={2025},\n  pages={1-5},\n  keywords={Codecs;Speech coding;Audio coding;Working environment noise;Benchmark testing;Data augmentation;Data models;Vectors;Reverberation;Speech processing;audio coding;benchmarks;deep learning;speech processing},\n  doi={10.1109/ICASSP49660.2025.10889159}\n}",
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 "reason": "The declared licence (mit) is classified as permissive.",
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