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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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  * **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 (79 songs in 4 languages), intended for use as an **automatic lyrics transcription** (**ALT**) benchmark.
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+ It has been published in the ISMIR 2024 paper (full citation [below](#citation)): \
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+ 📄 [**Lyrics Transcription for Humans: A Readability-Aware Benchmark**](https://zenodo.org/records/14877443) \
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+ 👥 O. Cífka, H. Schreiber, L. Miner, F.-R. Stöter \
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+ 🏢 [AudioShake](https://www.audioshake.ai/)
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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.