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Qwen

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Qwen3-TTS

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Running on Zero

It’s frustrating to see that Kurdish continues to be overlooked or poorly supported across TTS and LLM systems, including Qwen3-TTS.

Kurdish is spoken by 30+ million people, yet current support is either:

• Non-existent
• Low quality / inaccurate
• Confused with Arabic, Persian, or Turkish phonetics and vocabulary

This is not just a technical gap — it’s a data and prioritization issue.

Key Problems:

• ❌ No clear support for major dialects (Kurmanji, Sorani)
• ❌ Incorrect pronunciation due to training overlap with neighboring languages
• ❌ Lack of proper datasets and linguistic handling
• ❌ No official roadmap or acknowledgment from model providers

Why This Matters:

Kurdish has historically been underrepresented and often misclassified online.
AI systems are now reinforcing that gap instead of correcting it.

What We Need:

• ✅ Explicit Kurdish language support (separate from Arabic/Persian/Turkish)
• ✅ Dialect-aware TTS (at minimum: Kurmanji & Sorani)
• ✅ Proper phoneme modeling and pronunciation
• ✅ Collaboration with native speakers for dataset creation

Opportunity (for Qwen / others):

This is a high-leverage, low-competition win.
Supporting Kurdish properly would:

• Unlock millions of new users
• Build strong community loyalty
• Position your model as globally inclusive — not just mainstream-language optimized

Right now, it feels like Kurdish is invisible in AI.
It shouldn’t be.

Let’s fix that.