OuteTTS TTS
An LLM-based TTS that runs on CPU, GPU, or even in the browser via llama.cpp and Transformers.js.
Wrap texta í SSML tags fyrir nákvæma stjórn:
<speak><prosody rate="slow">Slow speech</prosody></speak>
Merki sem valið líkan skilur — smelltu til að sleppa einu í textann þinn þar sem það gerist:
Þetta líkan les venjulegan texta, þannig að innlínumerki eru hunsuð. Fyrir merki sem byggja á tilfinningum, skiptu yfir í tjáningarlíkan eins og Orpheus eða Bark.
Skilgreindu sérsniðna framburð (orð = framburð):
Um OuteTTS
OuteTTS by OuteAI takes a language-model approach to speech: it extends an LLM with text-to-speech capability while keeping the original architecture intact, so it can run through standard LLM tooling. That gives it unusually broad backend support — llama.cpp on CPU or GPU, Hugging Face Transformers, ExLlamaV2, VLLM, and even in-browser inference via Transformers.js. It is a natural fit for edge deployment and low-resource environments where running a model client-side or on CPU matters more than raw speed. On TTS.ai it is offered on the free tier for English. Because the LLM-based pipeline is slow on long inputs, it is best used for shorter regular text rather than long-form cloning.
Best fyrir: Edge deployment, browser-based TTS, low-resource environments
Skoða allt OuteTTS raddirÍ hnotskurn
- Forritari
- OuteAI
- Leyfi
- Apache 2.0
- Tími
- free
- Hraði
- slow
- Raddklóðun
- Nei
- Tungumál
- English
- Hámarksstafir
- 1000