OuteTTS TTS
An LLM-based TTS that runs on CPU, GPU, or even in the browser via llama.cpp and Transformers.js.
Daangeessii kitaaba keessan keessaa tag SSML akka itti fayyadamtan:
<speak><prosody rate="slow">Slow speech</prosody></speak>
Tag'oota mo'ellaa filatamee beekuu - cuqaasi akka tokkotti galchiin gara teekstaatti yoo ta'e:
Mo'ellaan kun kitaaba salphaa baraa, kan akka taggaa inniin linjii hin beekkamne. Akka taggaa-based emooshiniitti, mo'ellaa akka Orpheus ykn Bark.
Haalli fuula
Fuulaa 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.
Fakkeenyaaf: Edge deployment, browser-based TTS, low-resource environments
Fuulaa OuteTTS DhaamsaAkkasumas
- Deebi'aa
- OuteAI
- Lizenz
- Apache 2.0
- Daandiin
- free
- Jijjiiramni
- slow
- Dhaabbilee
- Haata'u
- Afaan Oromoo
- English
- Akkasumas
- 1000