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Running on Zero
| title: Maya 2 Native TTS | |
| emoji: 🗣️ | |
| colorFrom: blue | |
| colorTo: pink | |
| sdk: gradio | |
| sdk_version: 6.30.0 | |
| app_file: app.py | |
| python_version: "3.10" | |
| short_description: Streaming multilingual TTS with zero-shot voice cloning | |
| startup_duration_timeout: 1h | |
| # Maya 2 Native — multilingual streaming TTS | |
| Demo of [maya-research/maya2-native](https://huggingface.co/maya-research/maya2-native): | |
| a 2.5B-parameter text-to-speech model covering **12 Indic languages + English** | |
| (Hindi, English, Assamese, Bengali, Gujarati, Kannada, Malayalam, Marathi, Odia, | |
| Punjabi, Tamil, Telugu) with **zero-shot voice cloning** from a 3–10 s reference | |
| clip. Apache-2.0. Output is 24 kHz mono audio. | |
| - **Named voices**: 20 trained voices ship with the release — pick one from the | |
| dropdown, or leave "(none)" for the plain (unclaimed) voice. | |
| - **Voice cloning**: upload a 3–10 s clip plus its exact transcript; the same | |
| speaker reads your text — including in a *different* language (cross-lingual | |
| cloning). | |
| - **Text normalisation** (on by default): expands digits, currency, dates, URLs | |
| and ALL-CAPS names into spoken words in the target language. | |
| This Space vendors the [maya3](https://github.com/MayaResearch/maya2-native) | |
| inference engine (`maya3/`, `tts/`, `serve/`, `scripts/`, `configs/`) under its | |
| Apache-2.0 license. Model weights (Mimi codec, ECAPA speaker encoder) are | |
| downloaded from the Hugging Face cache on first use. | |
| ## Examples | |
| The example rows are the showcase texts from the model card, one per supported | |
| language, each paired with its native voice. The bundled | |
| `samples/hi_ritvik.wav` is a reference clip from the model repository you can | |
| use to try voice cloning (its transcript is in the model card). | |