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| title: oruk |
| emoji: 🌊 |
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| short_description: humanizing speech AI |
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| <a href="https://oruk.ai"><img src="https://huggingface.co/spaces/oruk/README/resolve/main/assets/oruk-header.png" alt="oruk — humanizing speech AI" width="1212" /></a> |
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| We train speech models to help AI understand what people say, how they say it, and what they mean—directly from the audio. |
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| [Try the demo](https://demo.oruk.ai) · [Explore our models](https://oruk.ai/models) · [API docs](https://oruk.ai/docs) · [Research](https://oruk.ai/research) |
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| ### Speech understanding, from the audio |
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| **Words and speakers.** Transcribe speech and follow who said what, with time-coded segments. |
| **Emotion and delivery.** Add context from tone, rhythm, emphasis, and vocal expression. |
| **One API.** Bring transcripts and acoustic context into the products you build. |
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| ### Open research |
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| - **[Orukeet](https://huggingface.co/oruk/orukeet)** — our open multilingual speech recognition model, with code, weights, evaluation results, and a technical report. |
| - **[oruk-bench](https://huggingface.co/datasets/oruk/oruk-bench-leaderboard)** — published speech-emotion evaluation results, with methods and limitations documented alongside the scores. |
| - **[Research highlights](https://oruk.ai/research)** — experiments, model releases, and interactive explanations from the team. |
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| Built by researchers from Stanford, Berkeley, and Cambridge. [Meet the team →](https://oruk.ai/company) |
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| [Website](https://oruk.ai) · [GitHub](https://github.com/Oruk-AI) · [Brand assets](https://oruk.ai/branding) · [Contact](mailto:access@oruk.ai) |
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