OuteTTS TTS
An LLM-based TTS that runs on CPU, GPU, or even in the browser via llama.cpp and Transformers.js.
Aplauzt savu tekstu SSML tagus precīzai kontrolei:
<speak><prosody rate="slow">Slow speech</prosody></speak>
Tags izvēlētais modelis saprot — noklikšķiniet, lai iemestu vienu jūsu tekstā, kur tas notiek:
Šis modelis lasa vienkāršu tekstu, tāpēc tiek ignorēti inline tagi. Uz tag-based emocijas, pāriet uz izteiksmīgu modeli, piemēram, Orpheus vai Bark.
Definēt pielāgotu izrunas (vārds = izruna):
Par 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.
Labākais: Edge deployment, browser-based TTS, low-resource environments
Pārlūkot visu OuteTTS balsisĪsumā
- Izstrādātājs
- OuteAI
- Licence
- Apache 2.0
- Līmeņrādis
- free
- Ātrums
- slow
- Balss klonēšana
- Nē
- Valodas
- English
- Maks. rakstzīmes
- 1000