aiqbench analysis
This release significantly advances low-resource NLP by providing a rigorously curated, tone-marked Yorùbá text corpus essential for training accurate speech recognition and TTS models. The dataset specifically addresses critical gaps in existing resources by expanding beyond religious texts and correcting systematic Unicode normalization issues that hinder grapheme-to-phoneme conversion.
The \`{I}r\`{o}y\`{i}nSpeech Text Corpus: 24,905 Curated Yor\`ub\'a Sentences for Speech and Language Technology
arXiv:2610.05366v1 Announce Type: new Abstract: \`{I}r\`{o}y\`{i}nSpeech is a 42-hour, 80-speaker Yor\`ub\'a read-speech corpus whose audio has been distributed by ELRA since 2024. This paper describes the release of its text component: 24,905 unique, hand-verified, tone-marked Yor\`ub\'a sentences (275,897 tokens; 15,687 types), curated in 2022 as recording prompts. Roughly 11,000 sentences were adapted from openly licensed news material; the remainder were written in-house to broaden coverage beyond the religious translation that dominates existing Yor\`ub\'a corpora. Every sentence was checked by hand for tone-mark accuracy, edited for read-aloud clarity and a neutral register, and localised so that non-Yor\`ub\'a personal and place names appear in Yor\`ub\'a form. Preparing the text for release surfaced systematic Unicode normalisation failures affecting more than 60% of lines (with precomposed and decomposed forms of the same letter co-occurring within single sentences) which we document and correct. The corpus supports diacritic restoration, grapheme-to-phoneme conversion, TTS front-end development and orthographic research, and serves as a validated prompt set for new recording.
Abstract:ÌròyìnSpeech is a 42-hour, 80-speaker Yorùbá read-speech corpus whose audio has been distributed by ELRA since 2024. This paper describes the release of its text component: 24,905 unique, hand-verified, tone-marked Yorùbá sentences (275,897 tokens; 15,687 types), curated in 2022 as recording prompts. Roughly 11,000 sentences were adapted from openly licensed news material; the remainder were written in-house to broaden coverage beyond the religious translation that dominates existing Yorùbá corpora. Every sentence was checked by hand for tone-mark accuracy, edited for read-aloud clarity and a neutral register, and localised so that non-Yorùbá personal and place names appear in Yorùbá form. Preparing the text for release surfaced systematic Unicode normalisation failures affecting more than 60% of lines (with precomposed and decomposed forms of the same letter co-occurring within single sentences) which we document and correct. The corpus supports diacritic restoration, grapheme-to-phoneme conversion, TTS front-end development and orthographic research, and serves as a validated prompt set for new recording.
8 pages. Data descriptor for the ÌròyìnSpeech Text Corpus, doi:https://doi.org/10.5281/zenodo.23138464. Under review at the Journal of Open Humanities Data
Computation and Language (cs.CL)
arXiv:2610.05366 [cs.CL]
(or arXiv:2610.05366v1 [cs.CL] for this version)
https://doi.org/10.48550/arXiv.2610.05366 arXiv-issued DOI via DataCite (pending registration)
Full text under the publisher's open licence · 194 words
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