| --- |
| base_model: kenpath/svara-tts-v1 |
| license: apache-2.0 |
| language: |
| - hi |
| - bn |
| - mr |
| - te |
| - kn |
| - bho |
| - mag |
| - hne |
| - mai |
| - as |
| - brx |
| - doi |
| - gu |
| - ml |
| - pa |
| - ta |
| - ne |
| - sa |
| - en |
| tags: |
| - text-to-speech |
| - speech-synthesis |
| - transformers |
| - multilingual |
| - indic |
| - orpheus |
| - quantized |
| - low-latency |
| - zero-shot |
| - emotions |
| - discrete-audio-tokens |
| - onnx |
| - onnxruntime-genai |
| task_categories: |
| - text-to-speech |
| pipeline_tag: text-to-speech |
| pretty_name: Svara-TTS v1 |
| datasets: |
| - SYSPIN |
| - RASA |
| - IndicTTS |
| - SPICOR |
| --- |
| |
| # svara-TTS v1 — Open Multilingual TTS for India’s Voices |
|
|
| [](https://huggingface.co/kenpath/svara-tts-v1) |
| [](https://huggingface.co/spaces/kenpath/svara-tts) |
| [](https://colab.research.google.com/drive/15YxFo1DzdQNbFUIZ1HJA4AN4oHqKxGtg) |
| [](https://github.com/Kenpath/svara-tts-inference) |
|
|
| **svara-TTS** is a developer-first multilingual TTS model for **19 languages** (18 Indic + Indian English). |
| Built on an Orpheus-style discrete audio token approach, it targets **clarity, expressiveness, and low-latency** on commodity GPUs/CPUs. |
| It supports light-weight **emotion/style control** (e.g., `<happy>`, `<sad>`, `<anger>`, `<fear>`) and simple **speaker identities** (`Language (Gender)`), with **zero-shot** adaptation paths. |
|
|
| --- |
|
|
| ## At a Glance |
|
|
| - **Languages (19):** Hindi, Bengali, Marathi, Telugu, Kannada, Bhojpuri, Magahi, Chhattisgarhi, Maithili, Assamese, Bodo, Dogri, Gujarati, Malayalam, Punjabi, Tamil, Nepali, Sanskrit, Indian English. |
| - **Expressivity:** End-of-utterance style tags; natural prosody; code-switch aware. |
| - **Latency & Deployment:** Works well with **GGUF** exports; suitable for edge/CPU scenarios. |
| - **Adaptability:** **LoRA-friendly** for quick speaker/domain specialization. |
|
|
| Try it live on the [**Demo Space**](https://huggingface.co/spaces/kenpath/svara-tts), or on **[Colab](https://colab.research.google.com/drive/15YxFo1DzdQNbFUIZ1HJA4AN4oHqKxGtg)** |
| Deployment scripts and **inference repo** will be available soon. Watch our [Github](https://github.com/Kenpath/svara-tts-inference) for updates |
|
|
| --- |
|
|
| ## Prompting (Orpheus-style) |
|
|
| - Place style/emotion tags **at the end** of the sentence: |
| `आज... सच में अच्छी खबर है — शाम को मिलते हैं! <happy>` |
| - Use punctuation to hint prosody (ellipses, commas, exclamation). |
| - For technical or dense text, end with `<clear>` to prioritize intelligibility. |
|
|
| > Speaker IDs follow a simple convention: **`Language (Gender)`** (e.g., `Marathi (Male)`). |
|
|
| --- |
|
|
| ## Training Data Summary |
|
|
| Trained on **2000+ hours** of open, high-quality speech from **SYSPIN**, **RASA**, **IndicTTS**, and **SPICOR**, covering **~50 speakers** (balanced male/female) across **19 languages**. |
| Data was curated to encourage natural prosody, broad coverage, and stable multilingual transfer. See **Acknowledgments** for provenance. |
|
|
| --- |
|
|
| ## Intended Uses |
|
|
| - Multilingual assistants, IVR, learning apps, reading aids, accessibility tools |
| - Content localization (education, public-information, civic services) |
| - Research on Indic prosody, emotion control, cross-lingual transfer |
|
|
| ## Out-of-Scope / Not Intended |
|
|
| - Impersonation of private individuals or public figures without consent |
| - Deceptive content (fraud, harassment, misinformation) |
| - Safety-critical deployments without human oversight |
|
|
| --- |
|
|
| ## Limitations |
|
|
| - **Proper nouns & rare entities:** may require spelling hints or `<clear>`. |
| - **Very long sentences:** chunk or add punctuation for natural prosody. |
| - **Emotion strength:** varies by language due to data density. |
| - **Code-mixing:** common patterns work; it’s not a deterministic rules engine. |
|
|
| Many of these improve with targeted LoRA finetuning and better preprocessing. |
|
|
| --- |
|
|
| ## Responsible Use |
|
|
| By using this model, you agree to follow applicable laws and ethical guidelines. |
| Avoid impersonation, harassment, targeted deception, or other harmful uses. |
| Where appropriate, disclose synthetic speech to end users. |
|
|
| --- |
|
|
| ## Sources & Links |
|
|
| - **Model:** https://huggingface.co/kenpath/svara-tts-v1 |
| - **Demo Space:** https://huggingface.co/spaces/kenpath/svara-tts |
| - **Inference repo:** https://github.com/Kenpath/svara-tts-inference |
| - **Colab:** https://colab.research.google.com/drive/15YxFo1DzdQNbFUIZ1HJA4AN4oHqKxGtg |
|
|
| --- |
|
|
| ## 🙏 Acknowledgments |
|
|
| This work was developed by **[Kenpath Technologies](https://kenpath.ai/)** for the open-source community. We also thank RunPod for the startup credits that supported our GPU compute. |
|
|
| - **Canopy Labs — Orpheus:** foundational ideas & open release |
| Release: https://canopylabs.ai/releases/orpheus_can_speak_any_language |
| - **SPIRE Lab, IISc Bangalore** — **SYSPIN** (multilingual studio) and **SPICOR** (Indian English) |
| - **AI4Bharat** — **RASA** expressive speech |
| - **IIT Madras** — **IndicTTS** |
| - **Unsloth** — helpful notes & tooling |
| - **RunPod** — startup GPU credits that accelerated experiments |
|
|
| --- |
|
|
| ## License |
|
|
| **Apache-2.0** |
|
|
| --- |
|
|
| ## Versioning & Changelog |
|
|
| - **v1.0.0:** Initial public release (19 languages) |
