YODAS v3: Over 1 Million Hours of High-Bandwidth, Stereophonic, Multilingual Speech

William Chen, Shinnosuke Takamichi, Sayaka Shiota, Satoru Fukayama, Samuele Cornell +1 more
9/24/2026
cs.CL

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Abstract

We present YODAS v3, a weakly-labeled speech corpus containing over 1.1 million hours of 48kHz multi-channel audio in 147 languages, released under a CC BY 3.0 license. YODAS v3 is not only the largest open speech dataset to date, but also the first truly large-scale speech corpus with high-fidelity stereo audio. We first provide the collection methodology for the corpus, where we introduce new techniques for gathering language-balanced speech data. The effectiveness of our approach is shown by the language distribution of the crawled data: 22 languages in YODAS v3 have over 10K hours and 73 languages have over 5K hours of data. We then conduct extensive analyses on the composition of the data, such as the distribution of languages, audio quality, and transcription quality. Finally, we train baseline speech recognition and neural codec models to show the effectiveness of the dataset. Download at https://huggingface.co/datasets/espnet/yodas3.

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Cite this paper

@article{chen2026yodas,
  title  = {YODAS v3: Over 1 Million Hours of High-Bandwidth, Stereophonic, Multilingual Speech},
  author = {William Chen and Shinnosuke Takamichi and Sayaka Shiota and Satoru Fukayama and Samuele Cornell and Shinji Watanabe},
  year   = {2026},
  eprint = {2609.29448},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2609.29448v1}
}

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