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arxiv: 2512.02201 · v3 · pith:I77BEQYTnew · submitted 2025-12-01 · 💻 cs.CL

Swivuriso: The South African Next Voices Multilingual Speech Dataset

Vukosi Marivate , Kayode Olaleye , Sitwala Mundia , Andinda Bakainga , Unarine Netshifhefhe , Mahmooda Milanzie , Tsholofelo Hope Mogale , Thapelo Sindane
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Zainab Abdulrasaq Kesego Mokgosi Chijioke Okorie Nia Zion Van Wyk Graham Morrissey Dale Dunbar Francois Smit Tsosheletso Chidi Rooweither Mabuya Andiswa Bukula Respect Mlambo Tebogo Macucwa Idris Abdulmumin and Seani Rananga
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classification 💻 cs.CL
keywords africandatasetspeechswivurisodatadatasetsmultilingualnext
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This paper introduces Swivuriso, a 3000-hour multilingual speech dataset developed as part of the African Next Voices project, to support the development and benchmarking of automatic speech recognition (ASR) technologies in seven South African languages. Covering agriculture, healthcare, and general domain topics, Swivuriso addresses significant gaps in existing ASR datasets. We describe the design principles, ethical considerations, and data collection procedures that guided the dataset creation. We present baseline results of training/finetuning ASR models with this data and compare to other ASR datasets for the langauges concerned.

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Cited by 2 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score.

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    cs.CL 2026-07 unverdicted novelty 5.0

    Mamba matches Conformer accuracy for ASR in seven South African languages with lower compute, multilingual training improves results, and language embeddings aid cross-corpus robustness but do not capture typological ...

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    cs.CL 2026-06 unverdicted novelty 5.0

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