OuteTTS TTS
An LLM-based TTS that runs on CPU, GPU, or even in the browser via llama.cpp and Transformers.js.
Envolvu vian tekston en SSML- etikedojn por preciza kontrolo:
<speak><prosody rate="slow">Slow speech</prosody></speak>
Etikedoj kiujn la elektita modelo komprenas - klaku por meti unu en vian tekston kie ĝi okazas:
This model reads plain text, so inline tags are ignored. For tag-based emotion, switch to an expressive model like Orpheus or Bark.
Difini proprajn elparolojn (vorto = elparolo):
Pri 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.
Plej bona por: Edge deployment, browser-based TTS, low-resource environments
Foliumi ĉiujn OuteTTS voĉojUnu rigardo
- Programisto
- OuteAI
- Licenco
- Apache 2.0
- Tamuz
- free
- Rapideco
- slow
- Voĉo- klonado
- Ne
- Lingvoj
- English
- Maksimuma nombro da signoj
- 1000