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WorldSpeech: A Multilingual Speech Corpus from Around the World

arXiv 2605.09167 ↗First posted 9 May 2026cs.CL cs.AI cs.LGcited by 0

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Abstract (arXiv)

Automatic speech recognition (ASR) performs well for high-resource languages with abundant paired audio-transcript data, but its accuracy degrades sharply for most languages due to limited publicly available aligned data. To this end, we introduce WorldSpeech, a 24 kHz multilingual speech corpus comprising 65k hours of aligned audio-transcript data across 76 languages, collected from diverse public sources including parliamentary proceedings, international broadcasts, and public-domain audiobooks. For 37 languages, WorldSpeech provides more than 200 hours of aligned speech, with 28 exceeding 500 hours and 24 surpassing 1k hours. Fine-tuning existing ASR models on WorldSpeech results in an average relative Word-Error-Rate reduction of 63.5% across 11 typologically diverse languages.

Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 29 of its 44 references that are in the map. First posted on arXiv 9 May 2026.

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29 of 44 references.

References · 29

  1. 2022Robust Speech Recognition via Large-Scale Weak Supervisioncited by 3,972
  2. 2019Common Voice: A Massively-Multilingual Speech Corpuscited by 1,358
  3. 2020MLS: A Large-Scale Multilingual Dataset for Speech Researchcited by 467
  4. 2019Libri-Light: A Benchmark for ASR with Limited or No Supervisioncited by 462
  5. 2022FLEURS: Few-shot Learning Evaluation of Universal Representations of Speechcited by 458
  6. 2021VoxPopuli: A Large-Scale Multilingual Speech Corpus for Representation Learning, Semi-Supervised Learning and Interpretationcited by 455
  7. 2023Scaling Speech Technology to 1,000+ Languagescited by 401
  8. 2021GigaSpeech: An Evolving, Multi-domain ASR Corpus with 10,000 Hours of Transcribed Audiocited by 391
  9. 2023WhisperX: Time-Accurate Speech Transcription of Long-Form Audiocited by 320
  10. 2024Emilia: An Extensive, Multilingual, and Diverse Speech Dataset for Large-Scale Speech Generationcited by 200
  11. 2021WenetSpeech: A 10000+ Hours Multi-domain Mandarin Corpus for Speech Recognitioncited by 189
  12. 2021DNSMOS P.835: A Non-Intrusive Perceptual Objective Speech Quality Metric to Evaluate Noise Suppressorscited by 165
17 more
  1. 2020VoxLingua107: a Dataset for Spoken Language Recognitioncited by 118
  2. 2023Libriheavy: a 50,000 hours ASR corpus with punctuation casing and contextcited by 84
  3. 2020Iterative Pseudo-Labeling for Speech Recognitioncited by 81
  4. 2020CTC-Segmentation of Large Corpora for German End-to-end Speech Recognitioncited by 75
  5. 2024YODAS: Youtube-Oriented Dataset for Audio and Speechcited by 56
  6. 2023Reproducing Whisper-Style Training Using an Open-Source Toolkit and Publicly Available Datacited by 42
  7. 2023AfriSpeech-200: Pan-African Accented Speech Dataset for Clinical and General Domain ASRcited by 34
  8. 2024GigaSpeech 2: An Evolving, Large-Scale and Multi-domain ASR Corpus for Low-Resource Languages with Automated Crawling, Transcription and Refinementcited by 34
  9. 2022BibleTTS: a large, high-fidelity, multilingual, and uniquely African speech corpuscited by 31
  10. 2021Pseudo-Labeling for Massively Multilingual Speech Recognitioncited by 23
  11. 2025Granary: Speech Recognition and Translation Dataset in 25 European Languagescited by 21
  12. 2024Speech-MASSIVE: A Multilingual Speech Dataset for SLU and Beyondcited by 20
  13. 2022Effectiveness of Mining Audio and Text Pairs from Public Data for Improving ASR Systems for Low-Resource Languagescited by 16
  14. 2024MOSEL: 950,000 Hours of Speech Data for Open-Source Speech Foundation Model Training on EU Languagescited by 13
  15. 2024MSR-86K: An Evolving, Multilingual Corpus with 86,300 Hours of Transcribed Audio for Speech Recognition Researchcited by 9
  16. 2025The NaijaVoices Dataset: Cultivating Large-Scale, High-Quality, Culturally-Rich Speech Data for African Languagescited by 7
  17. 2025EuroSpeech: A Multilingual Speech Corpuscited by 3

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