OuteTTS TTS
An LLM-based TTS that runs on CPU, GPU, or even in the browser via llama.cpp and Transformers.js.
SSML tags ሒዝካ ጽሑፍካ ሒዝካ ንምውሳድ:
<speak><prosody rate="slow">Slow speech</prosody></speak>
ርኢቶታት እቲ ዝተመርጸ ሞዴል ዝፈልጦ — ጠቅልል ንኸውዕሎ ኣብ ጽሑፍካ ኣብ ዝግበር ቦታ:
እዚ ሞዴል'ዚ ጽሑፍ ቀሊል ይንብብ፣ ከምኡ'ውን ኣብ መስመር ዝርከብ ቴግታት ይቕረ ይበሃል። ን tag-based emotion፣ ናብ ሞዴል ስነ-ኣእምሮኣዊ ከም Orpheus ወይ Bark ምቕያር
ድምጺ ተለፎን (ቓል = ድምጺ)
ብዛዕባ 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.
ምርኣይ: Edge deployment, browser-based TTS, low-resource environments
ርአ OuteTTS ቃላትኣብ ሓደ ገጽ
- መተግበሪያ
- OuteAI
- ውልቀ-መዚ
- Apache 2.0
- ቍጽሪ
- free
- ፍጥነት
- slow
- ድምጺ
- ኣይ
- ቋንቋ
- English
- ቍጽሪ ኣርእስቲ
- 1000