Svara Tts v1

--- base_model: canopylabs/3b-hi-ft-research_release license: apache-2.0 language: - hi # Hindi - bn # Bengali - mr # Marathi - te # Telugu - kn # Kannada - bho # Bhojpuri - mag # Magahi - hne # Chhattisgarhi - mai # Maithili - as # Assamese - brx # Bodo - doi # Dogri - gu # Gujarati - ml # Malayalam - pa # Punjabi - ta # Tamil - ne # Nepali - sa # Sanskrit - en # English (Indian) tags: - text-to-speech - speech-synthesis - transformers - multilingual - indic - orpheus - lora - low-latency - gguf - zero-shot - emotions - discrete-audio-tokens 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://cola...