Datasets:
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- evaluation
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- benchmark
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- transcription
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pretty_name: '
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paperswithcode_id: jam-alt
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configs:
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- config_name: all
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- subsets/fr/audio/*.mp3
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#
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## Dataset description
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* **Paper (arXiv):** https://arxiv.org/abs/2408.06370
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* **Extended abstract (ISMIR 2023 LBD):** https://arxiv.org/abs/2311.13987
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The lyrics have been revised according to the newly compiled [annotation guidelines](GUIDELINES.md), which include rules about spelling and formatting, as well as punctuation and capitalization (PnC).
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The audio is identical to the JamendoLyrics dataset.
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- evaluation
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- benchmark
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- transcription
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pretty_name: 'Jam-ALT: A Readability-Aware Lyrics Transcription Benchmark'
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paperswithcode_id: jam-alt
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configs:
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- config_name: all
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- subsets/fr/audio/*.mp3
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# Jam-ALT: A Readability-Aware Lyrics Transcription Benchmark
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## Dataset description
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* **Paper (arXiv):** https://arxiv.org/abs/2408.06370
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* **Extended abstract (ISMIR 2023 LBD):** https://arxiv.org/abs/2311.13987
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Jam-ALT is a revision of the [**JamendoLyrics**](https://github.com/f90/jamendolyrics) dataset (80 songs in 4 languages), adapted for use as an **automatic lyrics transcription** (**ALT**) benchmark.
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The lyrics have been revised according to the newly compiled [annotation guidelines](GUIDELINES.md), which include rules about spelling and formatting, as well as punctuation and capitalization (PnC).
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The audio is identical to the JamendoLyrics dataset.
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