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README.md
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##
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A collection of fine-tuned Orpheus 3B models that generate natural-sounding speech in multiple Ugandan languages including English, Luganda, Runyankole, Teso, and Acholi. These Models were built on top of open-sourced datasets from SunBird AI, Yogera and Mozilla's Common Voice Dataset.
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> ⚠️ Note: Some non-English outputs may sound lower in quality due to SNAC not being pretrained on local African phonetics.
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📦 Code: [GitHub Repository for Uganda TTS](https://github.com/Uganda-lang/Ganda-TTS)
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##
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We are also training powerful models that can understand and generate text in low-resource Ugandan languages.
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📦 Code: [GitHub Repository for Uganda Text Generation](https://github.com/Uganda-lang/
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## Table of Contents
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- [Uganda Text-to-Speech (TTS)](#1-uganda-text-to-speech-tts)
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- [Uganda Text Generation Model](#2-uganda-text-generation-advanced)
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## 1. Uganda Text-to-Speech (TTS)
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A collection of fine-tuned Orpheus 3B models that generate natural-sounding speech in multiple Ugandan languages including English, Luganda, Runyankole, Teso, and Acholi. These Models were built on top of open-sourced datasets from SunBird AI, Yogera and Mozilla's Common Voice Dataset.
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> ⚠️ Note: Some non-English outputs may sound lower in quality due to SNAC not being pretrained on local African phonetics.
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The Github repository shares more details about the models
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📦 Code: [GitHub Repository for Uganda TTS](https://github.com/Uganda-lang/Ganda-TTS)
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## 2. Uganda Text Generation (Advanced)
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We are also training powerful models that can understand and generate text in low-resource Ugandan languages.
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📦 Code: [GitHub Repository for Uganda Text Generation](https://github.com/Uganda-lang/llm-ug-qwen3-14B)
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