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How an African Tech Innovator Is Fixing AI’s ‘Broken Accent’ Problem in Indigenous Languages

How an African Tech Innovator Is Fixing AI’s ‘Broken Accent’ Problem in African Languages
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A new artificial intelligence platform developed in Nigeria is learning to master the tonal and phonetic complexities of African languages, enabling it to compose and sing authentic-sounding music for the first time.
Africa’s linguistic diversity sits at the heart of a quiet digital inequality. Mainstream AI systems, trained mostly on Western data, rarely grasp the tonal subtleties of indigenous words and music that anchor cultural identity. The result is often inauthentic, sometimes unintelligible, output — effectively mangling native languages, discouraging people from using the technology, and threatening language preservation across the continent. In response, a Nigerian tech founder has stepped in to bridge that gap. He built an AI-music generation platform trained on a broad range of African languages. The models now sing and speak accurately in Yoruba, Swahili, Zulu and other indigenous languages, capturing their tonal complexity and cultural authenticity.
African Currents sat with Philip Olajide-Philips to discuss how he built Korin AI platform to address the misapplication of African languages in AI music systems. He contends that AI is a tool to democratize music creation while preserving African cultural heritage, not replacing human creativity.

"I was working on a project and I needed African sound. So, I reached out to some couple of studios and producers. The amount they were charging was too much. And I was like, come on, in this world of AI? I don't know AI tools that I can actually use to get this thing done in an affordable way, and also very fast. So, I started doing my research online to see if I'm going to get that. Unfortunately, I couldn't get anything I need, but the ones I saw were Western AI [..]. But the funny thing was that African data set was missing. So, I put in Yoruba and the white man was trying to sing it and it was very annoying. I was like, excuse me in this world of AI does it mean that they intentionally skipped African data sets or by omission or intentional [...]. So, I thought to myself that it's a big problem. Why is it that no one is solving this problem? And if no one is serving this problem, with my background in AI and software development, I'm going to step into this and I'm gonna solve it. So, that's how I started the journey with Korina AI," Olajide-Philips noted.

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