OuteTTS Mga TNT
An LLM-based TTS that runs on CPU, GPU, or even in the browser via llama.cpp and Transformers.js.
I-wrap ang iyong teksto sa SSML tags para sa tumpak na kontrol:
<speak><prosody rate="slow">Slow speech</prosody></speak>
Tags ang napili modelo nauunawaan — i-click upang ihulog ang isa sa iyong teksto kung saan ito ay nangyayari:
Ang modelong ito ay nagbabasa ng karaniwang teksto, kaya inline tags ay hindi pinapansin. Para sa tag-based na damdamin, lumipat sa isang makahulugang modelo tulad ng Orpheus o Bark.
Tukuyin ang mga pasadyang mga panlapi (word = panlapi):
Tungkol sa 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.
Pinakamahusay para sa: Edge deployment, browser-based TTS, low-resource environments
Mag-browse ng lahat OuteTTS Mga bosesSa isang sulyap
- Developer
- OuteAI
- Lisensya
- Apache 2.0
- Mga hayop
- free
- Bilis
- slow
- Pag-clone ng boses
- Hindi
- Wika
- English
- Max character
- 1000