OuteTTS

OuteTTS የድምፅ ፋይል

An LLM-based TTS that runs on CPU, GPU, or even in the browser via llama.cpp and Transformers.js.

ምዝገባ ፊደል(ሎች)

ርዕሱን በSSML መለያዎች ውስጥ ለጥሩ ቁጥጥር ይዞሩት:

<speak><prosody rate="slow">Slow speech</prosody></speak>

የተመረጠው ሞዴል የሚያውቃቸው መለያዎች - በጽሑፍዎ ውስጥ የሚከሰትበትን ቦታ ለመውሰድ ጠቅ ያድርጉ፦

ይህ ሞዴል ቀላል ጽሑፍን ያነባል፣ ስለዚህም በመስመር ውስጥ ያሉ ምልክቶች ይዘገያሉ፡፡ ለታክስ-ተኮር ስሜት እንደ ኦርፊየስ ወይም ባርክ ያሉ ግልጽ ሞዴሎችን ይለውጡ።

የራሱን ተናጋሪ ግለጽ (ቃል = ተናጋሪ):

-12 +12
0.5x 2.0x
ነጻ ከፒፐር, VITS, MeloTTS ጋር
የእርስዎ የተፈጠረ ድምፅ እዚህ ይታይ. ሞዴል ይምረጡ፣ ጽሑፍ ያስገቡ፣ እና ይፈጥሩ ላይ ጠቅ ያድርጉ
ድምፅ በፍጥነት ተፈጠረ
0:00
ድምፅ ያውርዱ ያውርዱ መገናኛ በ24 ሰዓት ውስጥ ይቋረጣል
ነጻ ደረጃ: የግል ጥቅም የኮሜርሲ ውል ከ $5/mo
TTS.aiን ወዳጅነት?

ስለ 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.

ምርጥ ለ: Edge deployment, browser-based TTS, low-resource environments

ሁሉንም አጥፉ OuteTTS ድምጾች

በጥቂቱ

የድር አዘጋጅ
OuteAI
ፈቃድ
Apache 2.0
ዐምድ
free
ፍጥነት
slow
የድምፅ ቅጂ
አዎ
ቋንቋዎች
English
ፊደላት
1000

OuteTTS ድምጾች

Female 1 (Neutral)

English
ነጻ Female

OuteTTS የትርጉም መሳሪያ

Across many backends — llama.cpp (CPU or GPU), Hugging Face Transformers, ExLlamaV2, VLLM, and even directly in the browser through Transformers.js — because it preserves the underlying LLM architecture.

Its LLM-based design runs efficiently on CPU and in the browser, so it can operate client-side or on modest hardware without a dedicated GPU.

It works best on shorter inputs. The LLM-based pipeline is slow on long passages, so it is offered for regular short-to-medium TTS rather than long-form generation.
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