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Message: [QUOTE="Queen, post: 86093, member: 27"] Voice tech finally stopped ghosting African languages after a massive open dataset tackled the data drought head-on. Why voice tech kept failing locally [LIST] [*]Many devices choke on African languages. [*]Over 2,000 tongues lack usable speech data. [*]Sub-Saharan users get locked out of convenience. [*]Data scarcity stayed the core blocker. [/LIST] What WAXAL brings to the table [LIST] [*]WAXAL rolled out as a large-scale speech dataset. [*]Named after the Wolof word for speak. [*]Covers 21 African languages. [*]Built to unlock inclusive voice systems. [/LIST] What the dataset actually contains [LIST] [*]Nearly two million recordings fuel the corpus. [*]Total audio clears 11,000 hours. [*]Roughly 1,250 hours are fully transcribed. [*]Studio speech supports text-to-speech work. [/LIST] Who built it together [LIST] [*]Makerere University gathered language data. [*]The University of Ghana supported 13 languages. [*]Digital Umuganda was led in five languages. [*]The African Institute for Mathematical Sciences added multilingual datasets. [/LIST] Studio and quality control work [LIST] [*]Media Trust helped produce clean voice recordings. [*]Loud n Clear handled professional audio capture. [*]Everyday speech balanced with studio voices. [*]Ethical collection stayed a priority. [/LIST] Data ownership and access rules [LIST] [*]Contributors keep rights to their data. [*]Researchers worldwide get open access. [*]Sharing does not erase local control. [*]Collaboration stays balanced. [/LIST] Why it matters long term [LIST] [*]Voice tools can finally serve local users. [*]Language preservation gains a digital backup. [*]AI systems learn from real speech. [*]The dataset is live under an open license. [/LIST] [/QUOTE]

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