Parler TTS

Parler TTS የድምፅ ፋይል

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

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 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.

ምርጥ ለ: Creative applications where you need custom voice characteristics

ሁሉንም አጥፉ Parler TTS ድምጾች

በጥቂቱ

የድር አዘጋጅ
Hugging Face
ፈቃድ
Apache 2.0
ዐምድ
standard
ፍጥነት
medium
የድምፅ ቅጂ
አዎ
ቋንቋዎች
English
ፊደላት
500

Parler TTS ድምጾች

Default

English
መደበኛ Neutral

Parler TTS የትርጉም መሳሪያ

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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