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  ---
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  license: cc-by-nc-4.0
 
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  dataset_info:
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  features:
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  - name: audio
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  ## Acknowledgements
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  All credit for data collection and annotation belongs to the original speechocean762 authors.
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- This Hugging Face release focuses on standardized access and reproducibility for modern speech and representation learning pipelines.
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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  license: cc-by-nc-4.0
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+ arxiv: 2601.14046
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  dataset_info:
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  features:
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  - name: audio
 
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  ## Acknowledgements
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  All credit for data collection and annotation belongs to the original speechocean762 authors.
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+ This Hugging Face release focuses on standardized access and reproducibility for modern speech and representation learning pipelines.
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+
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+ You can use this dataset with our benchmarking toolkit at https://github.com/changelinglab/prism
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+ ```
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+ @misc{prism2026,
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+ title={PRiSM: Benchmarking Phone Realization in Speech Models},
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+ author={Shikhar Bharadwaj and Chin-Jou Li and Yoonjae Kim and Kwanghee Choi and Eunjung Yeo and Ryan Soh-Eun Shim and Hanyu Zhou and Brendon Boldt and Karen Rosero Jacome and Kalvin Chang and Darsh Agrawal and Keer Xu and Chao-Han Huck Yang and Jian Zhu and Shinji Watanabe and David R. Mortensen},
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+ year={2026},
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+ eprint={2601.14046},
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+ archivePrefix={arXiv},
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+ primaryClass={cs.CL},
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+ url={https://arxiv.org/abs/2601.14046},
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+ }
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+ ```