OuteTTS TTS
An LLM-based TTS that runs on CPU, GPU, or even in the browser via llama.cpp and Transformers.js.
Bungkus teks Anda dalam tag SSML untuk kendali yang tepat:
<speak><prosody rate="slow">Slow speech</prosody></speak>
Tag yang dipilih mengerti klik °C untuk memasukkan satu ke dalam teks Anda di mana hal itu terjadi:
Model ini membaca teks biasa, sehingga tag inline diabaikan. Untuk tag berbasis emosi, beralih ke model ekspresif seperti Orpheus atau Bark.
Definisikan pengucapan ubahan (kata = pelafalan):
Tentang 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.
Terbaik untuk: Edge deployment, browser-based TTS, low-resource environments
Jelajahi semua OuteTTS suaraPada sekilas
- Pengembang
- OuteAI
- Lisensi
- Apache 2.0
- Tier
- free
- Kecepatan
- slow
- Penklonan Suara
- Tidak
- Bahasa
- English
- Karakter maksimal
- 1000