Datasets:
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README.md
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# LibriS2S
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This repo contains scripts and alignment data to create a dataset build further upon [librivoxDeEn](https://www.cl.uni-heidelberg.de/statnlpgroup/librivoxdeen/) such that it contains (German audio, German transcription, English audio, English transcription) quadruplets and can be used for Speech-to-Speech translation research. Because of this, the alignments are released under the same [Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License](https://creativecommons.org/licenses/by-nc-sa/4.0/) <div>
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These alignments were collected by downloading the English audiobooks and using [aeneas](https://github.com/readbeyond/aeneas) to align the book chapters to the transcripts. For more information read the original [paper](https://arxiv.org/abs/2204.10593) (Presented at LREC 2022)
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---
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annotations_creators: []
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language:
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- en
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- de
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language_creators: []
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license:
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- cc-by-nc-sa-4.0
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multilinguality:
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- multilingual
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pretty_name: LibriS2S German-English Speech and Text pairs
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size_categories:
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- 10K<n<100K
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source_datasets: []
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tags:
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- LibriS2S
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- LibrivoxDeEn
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- Speech-to-Speech translation
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- LREC2022
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task_categories:
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- text-to-speech
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- automatic-speech-recognition
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- translation
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task_ids: []
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---
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# LibriS2S
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This repo contains scripts and alignment data to create a dataset build further upon [librivoxDeEn](https://www.cl.uni-heidelberg.de/statnlpgroup/librivoxdeen/) such that it contains (German audio, German transcription, English audio, English transcription) quadruplets and can be used for Speech-to-Speech translation research. Because of this, the alignments are released under the same [Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License](https://creativecommons.org/licenses/by-nc-sa/4.0/) <div>
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These alignments were collected by downloading the English audiobooks and using [aeneas](https://github.com/readbeyond/aeneas) to align the book chapters to the transcripts. For more information read the original [paper](https://arxiv.org/abs/2204.10593) (Presented at LREC 2022)
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