OuteTTS TTS
An LLM-based TTS that runs on CPU, GPU, or even in the browser via llama.cpp and Transformers.js.
Ajusta el text a les etiquetes SSML per al control precís:
<speak><prosody rate="slow">Slow speech</prosody></speak>
Etiquetes del model seleccionat entenen el clic show clic per a deixar- ne un al text a on succeeix:
Aquest model llegeix text pla, així que les etiquetes inserides s' ignoren. Per a emocions basades en etiquetes, canvieu a un model expressiu com Orfeus o Bark.
Defineix pronúncies personalitzades (word = pronunciació):
Quant a 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.
Millor per: Edge deployment, browser-based TTS, low-resource environments
Navega- ho tot OuteTTS veusEn una mirada
- Desenvolupador
- OuteAI
- Llicència
- Apache 2.0
- TierCity name (optional, probably does not need a translation)
- free
- Velocitat
- slow
- clonació de veu
- No
- Idiomes
- English
- Nombre màxim de caràcters
- 1000