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README.md
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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: "
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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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#
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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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[](https://github.com/KAABSHAHID/
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[](https://github.com/KAABSHAHID/
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[](https://creativecommons.org/licenses/by-nc/4.0/)
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</div>
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## Dataset Summary
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-
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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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-
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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
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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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[](https://github.com/KAABSHAHID/UrduTTS)
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[](https://github.com/KAABSHAHID/UrduTTS)
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[](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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