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  language:
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  - ur
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  license: cc-by-nc-4.0
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- pretty_name: "URDUTTS: 92-Hour Urdu Speech Corpus with Three-Way Transcriptions"
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  size_categories:
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  - 10K<n<100K
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  source_datasets:
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  <div align="center">
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- # URDUTTS
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  ### A Studio-Quality Urdu Speech Corpus with Urdu, Phonemized, and Romanized Transcriptions
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  **91.9 hours · 57,873 utterances · 44.1 kHz · 3 aligned text representations**
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- [![Paper](https://img.shields.io/badge/LREC%202026-Paper-b31b1b.svg)](https://github.com/KAABSHAHID/URDUTTS)
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- [![GitHub](https://img.shields.io/badge/GitHub-Code%20%26%20Pipeline-181717.svg?logo=github)](https://github.com/KAABSHAHID/URDUTTS)
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  [![License: CC BY-NC 4.0](https://img.shields.io/badge/License-CC%20BY--NC%204.0-lightgrey.svg)](https://creativecommons.org/licenses/by-nc/4.0/)
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  </div>
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  ## Dataset Summary
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- URDUTTS is the largest openly available Urdu text-to-speech corpus with **three aligned text
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  representations** for every utterance: native **Urdu script**, **Phonemized** (IPA) text, and
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  **Romanized** (Latin) text.
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  Urdu is spoken by roughly 250 million people but is badly under-resourced in speech technology.
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  Existing corpora are small, unreleased, or crowd-sourced with highly variable audio quality.
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- URDUTTS provides 92 hours of clean, consistent read speech — and, critically, ships the phonemized
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  layer that lets researchers move past the lossy Romanized transcriptions most Urdu TTS work has
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  relied on.
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@@ -76,7 +76,7 @@ orthographic standard: خواب ("dream") is written *khawab*, *khwaab*, or *khw
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  *(English: "Whose example is impossible among the slaves of the self.")*
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  The Romanized form drops the nasalized vowel in `mˈẽ`, the long vowels in `mɪsˈaːl`, and every stress
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- mark. Quantifying that loss is what URDUTTS was built for. The clearest case: بڑی ("big") and بری
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  ("bad") differ only by the retroflex ڑ, and both romanize to `BRY` — a contrast the model cannot
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  learn because the input does not encode it.
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  language:
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  - ur
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  license: cc-by-nc-4.0
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+ pretty_name: "UrduTTS: 92-Hour Urdu Speech Corpus with Three-Way Transcriptions"
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  size_categories:
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  - 10K<n<100K
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  source_datasets:
 
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  <div align="center">
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+ # UrduTTS
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  ### A Studio-Quality Urdu Speech Corpus with Urdu, Phonemized, and Romanized Transcriptions
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  **91.9 hours · 57,873 utterances · 44.1 kHz · 3 aligned text representations**
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+ [![Paper](https://img.shields.io/badge/LREC%202026-Paper-b31b1b.svg)](https://github.com/KAABSHAHID/UrduTTS)
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+ [![GitHub](https://img.shields.io/badge/GitHub-Code%20%26%20Pipeline-181717.svg?logo=github)](https://github.com/KAABSHAHID/UrduTTS)
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  [![License: CC BY-NC 4.0](https://img.shields.io/badge/License-CC%20BY--NC%204.0-lightgrey.svg)](https://creativecommons.org/licenses/by-nc/4.0/)
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  </div>
 
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  ## Dataset Summary
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+ UrduTTS is the largest openly available Urdu text-to-speech corpus with **three aligned text
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  representations** for every utterance: native **Urdu script**, **Phonemized** (IPA) text, and
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  **Romanized** (Latin) text.
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  Urdu is spoken by roughly 250 million people but is badly under-resourced in speech technology.
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  Existing corpora are small, unreleased, or crowd-sourced with highly variable audio quality.
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+ UrduTTS provides 92 hours of clean, consistent read speech — and, critically, ships the phonemized
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  layer that lets researchers move past the lossy Romanized transcriptions most Urdu TTS work has
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  relied on.
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  *(English: "Whose example is impossible among the slaves of the self.")*
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  The Romanized form drops the nasalized vowel in `mˈẽ`, the long vowels in `mɪsˈaːl`, and every stress
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+ mark. Quantifying that loss is what UrduTTS was built for. The clearest case: بڑی ("big") and بری
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  ("bad") differ only by the retroflex ڑ, and both romanize to `BRY` — a contrast the model cannot
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  learn because the input does not encode it.
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