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maya1

maya-research

**Maya-1 is an open-weight text-to-speech model from Maya Research that combines natural-language voice descriptions with inline expressive controls.** It generates speech as discrete audio tokens, which are decoded into a 24 kHz waveform. Developers can describe a voice and its delivery in text instead of choosing only from a fixed speaker menu. Voice description Female, in her 30s with an American accent and is an event host, energetic, clear diction This card documents the **Maya-1 checkpoint**. Other Maya Research models have separate documentation.

Speech synthesis

Input Text→ Output Audio

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maya2-native

maya-research

基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。

Basic profile indexed · More details to follow

Speech synthesis

Input Text→ Output Audio

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Veena

maya-research

Veena is a state-of-the-art neural text-to-speech (TTS) model developed by Maya Research, designed for English and Indian languages. Built on a Llama architecture backbone, Veena generates natural, expressive speech with emotional tone, remarkable quality, and ultra-low latency. It represents the foundation of our voice intelligence work, bringing human-like voice to the two most spoken languages in the world. **Veena** is a 3B parameter autoregressive transformer model based on the Llama architecture. It is designed to synthesize high-quality speech from text in Hindi and English, including code-mixed scenarios. The model outputs audio at a 24kHz sampling rate using the SNAC neural codec. To use Veena, you need to install the `transformers`, `torch`, `torchaudio`, `snac`, and `bitsandbytes` libraries.

Speech synthesis

Input Text→ Output Audio

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View details ↗

CompareSource / docs ↗

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Monthly input tokens 10 MMonthly output tokens 2 M1 M = 1 million tokens · USD
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Explore AI models 3

maya1

maya2-native

Veena

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