Add 'Srota model family' cross-link table near the top so each card links to all 3 siblings
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README.md
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## ℹ️ What is Srota?
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Srota is an automatic speech recognition (ASR) model for **Hinglish** (Hindi-English code-switched speech) that transcribes into natural **mixed Devanagari + Latin** script. It is a **full-parameter fine-tune of [Qwen/Qwen3-ASR-0.6B](https://huggingface.co/Qwen/Qwen3-ASR-0.6B)**, trained on the union of conversational and technical-tutorial Hinglish speech. It improves over the base model on both domains at once: **−8.88 pp** word error rate (WER) on conversational speech and **−15.60 pp** on tutorial speech.
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## 🧬 Srota model family
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| Variant | Best for | Specialty |
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|---|---|---|
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| **[Srota](https://huggingface.co/moorlee/qwen3-asr-0.6b-hinglish)** (union) | General Hinglish (recommended default) | conversational + tutorial |
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| **[Srota-Conv](https://huggingface.co/moorlee/qwen3-asr-0.6b-hinglish-hiacc-v1)** | Conversational Hinglish only | HiACC specialist |
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| **[Srota-Tutorial](https://huggingface.co/moorlee/qwen3-asr-0.6b-hinglish-openslr104-v2)** | Technical tutorial speech only | OpenSLR-104 specialist |
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*You are viewing **Srota** (the union model, recommended for general use).*
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## ℹ️ What is Srota?
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Srota is an automatic speech recognition (ASR) model for **Hinglish** (Hindi-English code-switched speech) that transcribes into natural **mixed Devanagari + Latin** script. It is a **full-parameter fine-tune of [Qwen/Qwen3-ASR-0.6B](https://huggingface.co/Qwen/Qwen3-ASR-0.6B)**, trained on the union of conversational and technical-tutorial Hinglish speech. It improves over the base model on both domains at once: **−8.88 pp** word error rate (WER) on conversational speech and **−15.60 pp** on tutorial speech.
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