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README.md
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We are particularly interested in **real-world Sri Lankan speech**, including different accents, dialects, speaking styles, environments, and Sinhala–English / Tamil–English code-switching.
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## 🚀 What We Build
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Our Hugging Face organization will host:
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### Models
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- Speech-to-Text models
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- Text-to-Speech models
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- Speech representation models
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- Multilingual speech models
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- Fine-tuned and domain-specific models
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### Datasets
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- Sinhala speech datasets
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- Tamil speech datasets
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- English speech datasets from Sri Lankan speakers
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- Multilingual and code-switched speech datasets
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- Evaluation and benchmark datasets
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### Tools & Resources
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- Data processing pipelines
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- Training recipes
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- Evaluation tools
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- Model demos
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- Research resources
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## 🎯 Our Vision
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Our goal is to help build an ecosystem where Sinhala and Tamil are first-class languages in modern AI systems, while supporting English and multilingual communication across Sri Lanka.
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## 📌 Hugging Face
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This organization serves as a central hub for our:
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**Models · Datasets · Spaces · Research · Tools**
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Explore our repositories and experiment with our models and datasets.
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### 🇱🇰 Sinhala · தமிழ் Tamil · English
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We are particularly interested in **real-world Sri Lankan speech**, including different accents, dialects, speaking styles, environments, and Sinhala–English / Tamil–English code-switching.
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## 🎯 Our Vision
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Our goal is to help build an ecosystem where Sinhala and Tamil are first-class languages in modern AI systems, while supporting English and multilingual communication across Sri Lanka.
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### 🇱🇰 Sinhala · தமிழ் Tamil · English
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