ጽሑፍ ናብ ቃላት መራኸቢታት ሙዚቃ ድምጺ ናብ ጽሑፍ ድምጺ ድምጺ ገበን ተጨማሪ
ረቛሒታት / መተግበሪያታት
Parler TTS

Parler TTS TTS

Describe the voice you want in plain English and Parler generates speech matching that description.

0/500 ኣርእስቲ · 5,000 ምዝገባ ኣብ ሓደ ትውልዲ →
ምዝገባ 5,000 ካራቴግራም

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)

-12 +12
0.5x 2.0x
ነጻ ምስ Piper, VITS, MeloTTS
እቲ ዝተፈጠረ ድምጺ እዚኣ ይርከብ። ሓደ ሞዴል ምረጽ፣ ጽሑፍ ኣትሒዝካ፣ ንተፈጥሮ ጠቅልል።
ድምጺ ተኸፊሉ
0:00
ድምጺ መዝጊብ .srt መዝገብ 24 ሰዓታት
ነጻ ደረጃ: ንባዕልኻ ንምጥቃም. ውልቀ-መዚ ውልቀ-መዚ ካብ $5/month
TTS.ai ትወዳደሮ? ንፍቓድካ ንገረኒ!

ብዛዕባ Parler TTS

Parler TTS, developed by Hugging Face, replaces voice presets with natural-language control: instead of picking from a fixed list, you write a description such as "a warm female voice with a slight British accent, speaking slowly and clearly," and the model synthesizes speech to match. This makes it unusually flexible for creative work where you need a specific, custom voice character without recording or cloning anyone. It is an 880M-parameter transformer encoder-decoder trained on roughly 45,000 hours of speech, and it is released under the permissive Apache 2.0 license. Parler is English-focused and best suited to applications that benefit from on-demand, describable voice characteristics.

ምርኣይ: Creative applications where you need custom voice characteristics

ርአ Parler TTS ቃላት

ኣብ ሓደ ገጽ

መተግበሪያ
Hugging Face
ውልቀ-መዚ
Apache 2.0
ቍጽሪ
standard
ፍጥነት
medium
ድምጺ
ኣይ
ቋንቋ
English
ቍጽሪ ኣርእስቲ
500

Parler TTS ቃላት

Default

English
ቍጽሪ Neutral

Parler TTS ሕቶታት ዝንበረሉ

You describe it in natural language — gender, accent, pace, tone, and recording quality — and Parler generates speech matching the description. There are no preset voices to choose from.

Hugging Face. It is an 880M-parameter transformer encoder-decoder trained on around 45,000 hours of speech and released under Apache 2.0.

No. Parler generates a voice from a text description rather than from a reference recording. For cloning a specific voice, use a model like Chatterbox or GPT-SoVITS.
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