OuteTTS TTS
An LLM-based TTS that runs on CPU, GPU, or even in the browser via llama.cpp and Transformers.js.
Incluír o texto en etiquetas SSML para un control preciso:
<speak><prosody rate="slow">Slow speech</prosody></speak>
Etiquetas que o modelo escollido entende - prema para deixar unha no texto onde ocorre:
Este modelo le texto simple, polo que se ignoran as etiquetas inline. Para emocións baseadas en etiquetas, cambie a un modelo expresivo como Orpheus ou Bark.
Definir pronunciacións personalizadas (palabra = pronunciación):
Acerca de 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.
Mellor para: Edge deployment, browser-based TTS, low-resource environments
Examinar todo OuteTTS vocesDe un vistazo
- Desenvolvente
- OuteAI
- Licenza
- Apache 2.0
- Tier
- free
- Velocidade
- slow
- Clonaxe de voz
- Non
- Linguas
- English
- Caracteres máximos
- 1000