OuteTTS TTS
An LLM-based TTS that runs on CPU, GPU, or even in the browser via llama.cpp and Transformers.js.
SSML-i siltidesse teksti segamine täpseks kontrollimiseks:
<speak><prosody rate="slow">Slow speech</prosody></speak>
Sildid valitud mudelil mõistavad ~ klõpsa ühe kukutamiseks teksti, kus see juhtub:
See mudel loeb lihtsat teksti, nii et sisemisi silte ignoreeritakse. Sildil põhinevate emotsioonide puhul lülituge ekspressiivsele mudelile nagu Orpheus või Bark.
Kohandatud häälduste määramine (sõna = hääldus):
Info 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.
Parim: Edge deployment, browser-based TTS, low-resource environments
Kõigi sirvimine OuteTTS hääledPõgusalt
- Arendaja
- OuteAI
- Litsents
- Apache 2.0
- Määramistasand
- free
- Kiirus
- slow
- Hääle kloonimine
- Ei.
- Keeled
- English
- Maks. märgid
- 1000