OuteTTS TTS
An LLM-based TTS that runs on CPU, GPU, or even in the browser via llama.cpp and Transformers.js.
Wrap wanu malemba mu SSML tags kwa kuwongolera moyenera:
<speak><prosody rate="slow">Slow speech</prosody></speak>
Tags chosankhidwa chitsanzo amamvetsa - dinani kuti aphe mmodzi m'mawu anu pamene chimachitika:
Izi ndi njira yolemba malemba oyera, kotero ma tag ophatikizidwa amasiya kuganiziridwa. Kuti mupange ma tag ogwirizana ndi maganizo, gwiritsani ntchito njira yolemba malemba monga Orpheus kapena Bark.
Define custom pronunciations (word = pronunciation):
Za 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 kwa: Edge deployment, browser-based TTS, low-resource environments
Pezani zonse OuteTTS maganizoPa mphindi
- Wopanga
- OuteAI
- License
- Apache 2.0
- Mtundu
- free
- Kuyenda
- slow
- Kusintha kwa mawu
- Si
- Zilankhulo
- English
- Max characters
- 1000