OuteTTS TTS
An LLM-based TTS that runs on CPU, GPU, or even in the browser via llama.cpp and Transformers.js.
Lilitkan teks anda dalam tag SSML untuk kawalan tepat:
<speak><prosody rate="slow">Slow speech</prosody></speak>
Tag model dipilih memahami - klik untuk jatuhkan satu ke dalam teks anda di mana ia berlaku:
Model ini membaca teks biasa, jadi tag dalam baris diabaikan. Untuk emosi berdasar tag, beralih ke model ekspresif seperti Orpheus atau Bark.
Tetapkan sebutan tersendiri (perkataan = sebutan):
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
Layari semua OuteTTS suaraDengan sekejap mata
- Pemaju
- OuteAI
- Lesen
- Apache 2.0
- Tajuk
- free
- Kelajuan
- slow
- Klon suara
- Tidak
- Bahasa
- English
- Aksara maksimum
- 1000