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LatestMaya Research2
Maya ResearchText → Speech

Maya2 Native brings streaming TTS to Indic languages

Maya Research's new open text-to-speech model targets Indian languages with voice cloning and real-time streaming output.

Oct 26, 2026
UpdateOther
Maya2 Native

Maya Research has released Maya2 Native, an open text-to-speech model built for streaming audio generation with a clear emphasis on Indian languages. The model supports voice cloning and multilingual synthesis, with its stated focus on the Indic language family.

Streaming is the practical centerpiece here. Rather than producing an entire clip before playback, a streaming TTS system emits audio incrementally, which keeps latency low enough for conversational and interactive applications. Paired with voice cloning, that makes the model a candidate for assistants, dubbing, and accessibility tools that need to speak naturally in regional languages.

Why it matters

High-quality speech synthesis has long skewed toward English and a handful of global languages, leaving India's many widely spoken tongues underserved. A model that treats Indic languages as a first-class target helps close that gap:

  • Streaming output for low-latency, real-time use
  • Voice cloning from reference audio
  • Multilingual coverage anchored in Indian languages

The release is distributed on Hugging Face under a non-standard license, so teams should review the terms before building on it. As an initial entry in the Maya2 line, it will be worth watching how the model's voice quality and language coverage hold up against established open TTS systems in real deployments.

Sources

  • maya-research/maya2-native

    Hugging Face

    Visit
OlderNanbeige 4.3 Arrives as a 33B Bilingual ModelNanbeige · Text / LLM · last weekNewerBaidu releases Unlimited-OCR 2 under MIT licenseBaidu · Vision-Language · last week

Get the model

Hugging Face

Specs

LanguagesIndic, multilingual
Size5 GB
PrecisionBF16
Architecturemaya3
LicenseOTHER
Downloads3.8K
Likes151

Can you run it?

Runs on just about anything.

  • BF16 (as published)

    8 GB GPU (RTX 4060) · 16 GB laptop or Mac

    6 GB
  • FP8

    Any modern laptop · 8 GB RAM

    3.5 GB
Your machine

Based on Hugging Face weights metadata. Assumes an 8K context and ~1 GB runtime overhead; actual needs vary. How we estimate


Modalities

Text → Speech

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