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LatestMaya Research1.0
Maya ResearchText → Speech

Maya Research Releases Maya1, an Expressive TTS Model

The new Apache 2.0 licensed model uses a Llama-based architecture to generate more natural and emotionally nuanced speech from text.

Oct 18, 2025
NotableApache 2.0
Maya1

A new contender has entered the open-source text-to-speech arena. Maya Research has released Maya1, a model designed to generate expressive, natural-sounding human speech. The model and its weights are available on Hugging Face under a permissive Apache 2.0 license, allowing for broad use, including commercial applications.

Unlike many traditional text-to-speech (TTS) systems, Maya1 is built upon a Llama-based architecture. This approach leverages the powerful pattern recognition and contextual understanding of a large language model to imbue the generated audio with more nuance and emotional range than a simple text-to-phoneme conversion might allow. The goal is to move beyond robotic narration toward more lifelike vocal delivery.

An Open Alternative for Rich Audio

The release of a commercially-permissive, high-quality TTS model is a significant development for the open-source community. It provides a powerful building block for developers creating applications that require rich voice interaction, from accessibility tools and audiobook narration to custom voice assistants and interactive entertainment.

Maya1 presents an open-weights alternative to the proprietary, API-gated models offered by companies like OpenAI, Google, and ElevenLabs. By providing direct access to the model, Maya Research empowers developers and researchers to build, customize, and innovate on voice technology without being locked into a specific platform or pricing model. You can explore the model's capabilities at the official repository.

Sources

  • maya-research/maya1

    Hugging Face

    Visit
OlderDeepSeek-OCR Tackles Document Parsing with Vision AIDeepSeek · Vision-Language · last yearNewerKling Releases UniVideo for Generation and UnderstandingKuaishou · Any-to-Any · last year

Get the model

Hugging Face

Specs

Sample rate24 kHz
LanguagesEnglish
Size6.6 GB
PrecisionBF16
ArchitectureLlamaForCausalLM
LicenseAPACHE-2.0
Downloads8.5K
Likes939

Can you run it?

Runs on a laptop — about 4.3 GB at FP8.

  • BF16 (as published)

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

    7.6 GB
  • FP8

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

    4.3 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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