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Introducing Murya AI

A developer has released Murya, an MIT-licensed text-to-speech project for Hausa, one of Africa's most widely spoken languages. The project, which surpassed 10,000 page views in its first month, aims to address the underrepresentation of low-resource languages in AI. The developer argues that the 'low-resource' label is socially constructed and hopes to inspire similar efforts.

read1 min views1 publishedAug 15, 2026

Dear DEV Community,

It feels great to be here, and thank you for the opportunity to be a part of this platform!

This is my first post, and I am thrilled to share a recent project that kept me working late into the night. It is codenamed Murya, which literally means "Voice" in Hausa, one of Africa's most widely spoken languages, with over 95 million speakers worldwide.

To my knowledge, Murya (https://app.murya.ng

) is the first publicly available, MIT-licensed text-to-speech (TTS) project created by a native Hausa speaker. Mainstream media and major tech corporations often treat Hausa and hundreds of other languages from the Global South as "low resource." However, I strongly believe this framing is not entirely accurate; rather, it is socially constructed.

Leading scholars and institutions have extensively explored the very problem Murya aims to solve, including:

The takeaway is simple: if there is a will to address these gaps, there is a way—or rather, many ways—to make it happen.

Recently, Murya surpassed 10,000 page views in its first month, according to Cloudflare analytics. I also wrote about the release on LinkedIn.

Please feel free to ask questions, contribute, or learn more about Murya over on Hugging Face.

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