OuteTTS TTS
An LLM-based TTS that runs on CPU, GPU, or even in the browser via llama.cpp and Transformers.js.
Wrap test tiegħek fil-tags SSML għall-kontroll preċiż:
<speak><prosody rate="slow">Slow speech</prosody></speak>
Tags li l-mudell magħżul jifhem — ikklikkja biex tqiegħed waħda fit-test tiegħek fejn jiġri:
Dan il-mudell jaqra test sempliċi, għalhekk it-tags inline huma injorati.Għal emozzjoni bbażata fuq it-tag, aqleb għal mudell espressiv bħal Orpheus jew Bark.
Iddefinixxi pronunzji tad-dwana (kelma = pronunzja):
Dwar 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.
L-aħjar għal: Edge deployment, browser-based TTS, low-resource environments
Ibbrawżja kollox OuteTTS vuċijietDaqqa t'għajn
- Żviluppatur
- OuteAI
- Liċenzja
- Apache 2.0
- Annimali
- free
- Veloċità
- slow
- Klonazzjoni tal-vuċi
- Nru
- Lingwi
- English
- Karattri massimi
- 1000