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Language Technologies as If People Mattered: Centering Communities in Language Technology Development.

, , and . LREC/COLING, page 10085-10099. ELRA and ICCL, (2024)

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The Edinburgh International Accents of English Corpus: Towards the Democratization of English ASR., , , , , and . ICASSP, page 1-5. IEEE, (2023)Cultivating Spoken Language Technologies for Unwritten Languages., , , , , , , , and . CHI, page 614:1-614:17. ACM, (2024)UnMute Toolkit: Speech Interactions Designed With Minoritised Language Speakers., , , , , , , , , and 1 other author(s). CUI, page 56. ACM, (2024)Situating Automatic Speech Recognition Development within Communities of Under-heard Language Speakers., , , , , , , , and . CHI, page 406:1-406:17. ACM, (2023)Language technology practitioners as language managers: arbitrating data bias and predictive bias in ASR., and . LREC, page 6328-6339. European Language Resources Association, (2022)Everyone has an accent., and . INTERSPEECH, page 4424-4427. ISCA, (2023)Mind the data gap(s): Investigating power in speech and language datasets.. LT-EDI, page 1-12. Association for Computational Linguistics, (2022)Language variation and algorithmic bias: understanding algorithmic bias in British English automatic speech recognition.. FAccT, page 521-534. ACM, (2022)Language Technologies as If People Mattered: Centering Communities in Language Technology Development., , and . LREC/COLING, page 10085-10099. ELRA and ICCL, (2024)