OuteTTS TTS
An LLM-based TTS that runs on CPU, GPU, or even in the browser via llama.cpp and Transformers.js.
Oorvloei jou teks in SSML etiket vir presiese beheer:
<speak><prosody rate="slow">Slow speech</prosody></speak>
Merk die gekose model verstaan ooit die woord ooit om een in jou teks te laat val waar dit gebeur:
Hierdie model lees gewone teks, so inlyn etiket word geignoreer. Vir etiket-gebaseerde emosie, wissel na 'n uitdrukkingende model soos Orpheus of Bark.
Definieer pasmaak uitspraak (woord = uitspraak):
Aangaande 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.
Beste vir: Edge deployment, browser-based TTS, low-resource environments
Blaai deur almal OuteTTS stemmeMet'n blik
- Ontwikkelingvloeistof is minDeveloper
- OuteAI
- Lisensie
- Apache 2.0
- Tier
- free
- Spoed
- slow
- Stem kloning
- Nee
- Tale
- English
- Voeg- agteraan- by Taal
- 1000