svara TTS v1 — Open Multilingual TTS for India’s Voices 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., , , , ) 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 , or on Colab Deployment scripts and inference repo will be available soon. Watch our Github 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! Use punctuation to hint prosody (ellipses, commas, exclamation)…
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