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Europarl-ST: A Multilingual Corpus For Speech Translation Of Parliamentary Debates

arXiv 1911.03167 ↗First posted 8 Nov 2019cs.CL cs.SD eess.AScited by 114

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Abstract (arXiv)

Current research into spoken language translation (SLT),or speech-to-text translation, is often hampered by the lack of specific data resources for this task, as currently available SLT datasets are restricted to a limited set of language pairs. In this paper we present Europarl-ST, a novel multilingual SLT corpus containing paired audio-text samples for SLT from and into 6 European languages, for a total of 30 different translation directions. This corpus has been compiled using the debates held in the European Parliament in the period between 2008 and 2012. This paper describes the corpus creation process and presents a series of automatic speech recognition, machine translation and spoken language translation experiments that highlight the potential of this new resource. The corpus is released under a Creative Commons license and is freely accessible and downloadable.

Key facts. Cited by 114 papers in the map (data through 7 Oct 2026). First posted on arXiv 8 Nov 2019.

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Citing papers per year: 2021: 19; 2022: 31; 2023: 22; 2024: 13; 2025: 20; 2026: 9.

114 papers.

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  1. 2022FLEURS: Few-shot Learning Evaluation of Universal Representations of Speechcited by 458
  2. 2021VoxPopuli: A Large-Scale Multilingual Speech Corpus for Representation Learning, Semi-Supervised Learning and Interpretationcited by 455
  3. 2021Textless Speech-to-Speech Translation on Real Datacited by 121
  4. 2022Pile of Law: Learning Responsible Data Filtering from the Law and a 256GB Open-Source Legal Datasetcited by 113
  5. 2021The Multilingual TEDx Corpus for Speech Recognition and Translationcited by 101
  6. 2024SpeechVerse: A Large-scale Generalizable Audio Language Modelcited by 62
  7. 2022UnitY: Two-pass Direct Speech-to-speech Translation with Discrete Unitscited by 60
  8. 2023Efficient Sequence Transduction by Jointly Predicting Tokens and Durationscited by 56
  9. 2021Cascade versus Direct Speech Translation: Do the Differences Still Make a Difference?cited by 54
  10. 2022Enhanced Direct Speech-to-Speech Translation Using Self-supervised Pre-training and Data Augmentationcited by 43
  11. 2023MuAViC: A Multilingual Audio-Visual Corpus for Robust Speech Recognition and Robust Speech-to-Text Translationcited by 39
  12. 2021Large-Scale Self- and Semi-Supervised Learning for Speech Translationcited by 36
38 more
  1. 2022SpeechMatrix: A Large-Scale Mined Corpus of Multilingual Speech-to-Speech Translationscited by 35
  2. 2022Sample, Translate, Recombine: Leveraging Audio Alignments for Data Augmentation in End-to-end Speech Translationcited by 27
  3. 2022SHAS: Approaching optimal Segmentation for End-to-End Speech Translationcited by 26
  4. 2022CTC Alignments Improve Autoregressive Translationcited by 25
  5. 2022Speech-to-Speech Translation For A Real-world Unwritten Languagecited by 25
  6. 2022Under the Morphosyntactic Lens: A Multifaceted Evaluation of Gender Bias in Speech Translationcited by 23
  7. 2024Speech Translation with Speech Foundation Models and Large Language Models: What is There and What is Missing?cited by 23
  8. 2022XTREME-S: Evaluating Cross-lingual Speech Representationscited by 22
  9. 2022SDS-200: A Swiss German Speech to Standard German Text Corpuscited by 22
  10. 2024High-Dimension Human Value Representation in Large Language Modelscited by 20
  11. 2024Speech-MASSIVE: A Multilingual Speech Dataset for SLU and Beyondcited by 20
  12. 2021Beyond Voice Activity Detection: Hybrid Audio Segmentation for Direct Speech Translationcited by 17
  13. 2022Augmentation Invariant Discrete Representation for Generative Spoken Language Modelingcited by 17
  14. 2021BSTC: A Large-Scale Chinese-English Speech Translation Datasetcited by 16
  15. 2021End-to-End Speech Translation with Pre-trained Models and Adapters: UPC at IWSLT 2021cited by 16
  16. 2022BLASER: A Text-Free Speech-to-Speech Translation Evaluation Metriccited by 16
  17. 2021An Empirical Study of End-to-end Simultaneous Speech Translation Decoding Strategiescited by 14
  18. 2022Efficient yet Competitive Speech Translation: FBK@IWSLT2022cited by 14
  19. 2023AV2AV: Direct Audio-Visual Speech to Audio-Visual Speech Translation with Unified Audio-Visual Speech Representationcited by 14
  20. 2022Code-Switching without Switching: Language Agnostic End-to-End Speech Translationcited by 13
  21. 2024MOSEL: 950,000 Hours of Speech Data for Open-Source Speech Foundation Model Training on EU Languagescited by 13
  22. 2021Efficient Weight factorization for Multilingual Speech Recognitioncited by 12
  23. 2022Non-Parametric Domain Adaptation for End-to-End Speech Translationcited by 12
  24. 2025Efficient and Adaptive Simultaneous Speech Translation with Fully Unidirectional Architecturecited by 12
  25. 2021Is "moby dick" a Whale or a Bird? Named Entities and Terminology in Speech Translationcited by 11
  26. 2023Textless Unit-to-Unit training for Many-to-Many Multilingual Speech-to-Speech Translationcited by 11
  27. 2021Lost in Interpreting: Speech Translation from Source or Interpreter?cited by 10
  28. 2022Adaptive multilingual speech recognition with pretrained modelscited by 9
  29. 2022LegoNN: Building Modular Encoder-Decoder Modelscited by 9
  30. 2022Joint Pre-Training with Speech and Bilingual Text for Direct Speech to Speech Translationcited by 9
  31. 2023End-to-End Speech-to-Text Translation: A Surveycited by 9
  32. 2024MSR-86K: An Evolving, Multilingual Corpus with 86,300 Hours of Transcribed Audio for Speech Recognition Researchcited by 9
  33. 2021Towards the evaluation of automatic simultaneous speech translation from a communicative perspectivecited by 8
  34. 2022Who Are We Talking About? Handling Person Names in Speech Translationcited by 8
  35. 2022Improving Speech-to-Speech Translation Through Unlabeled Textcited by 8
  36. 2023Learning from Flawed Data: Weakly Supervised Automatic Speech Recognitioncited by 8
  37. 2021Between Flexibility and Consistency: Joint Generation of Captions and Subtitlescited by 7
  38. 2022Direct Speech Translation for Automatic Subtitlingcited by 7

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