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Parler TTS

Parler TTS TTS

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

0/500 aksara · 5000 kanggo saben generasi →
Ndaftar for 5,000 characters limit

Nglapisi teks ing tag SSML kanggo kontrol sing tepat:

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

Tag kang dipahami model kang dipilih — klik kanggo ngethok siji menyang teks sampeyan ing ngendi iku kedadeyan:

Model ieu maca teks biasa, jadi tag inline diabaikan. Pikeun emosi dumasar tag, ganti ka model ekspresif kayaning Orpheus atawa Bark.

Nyathet pangucapan standar (kata = pangucapan):

-12 +12
0.5x 2.0x
Bebas karo Piper, VITS, MeloTTS
Audio anu dihasilkeun bakal muncul di dieu. Pilih model, ketok teks, sarta ketok Janji.
Audio berhasil diciptakan
0:00
Muat turun audio Muat turun.srt Link expires in 24h
Kacamatan iki kalebu: Kacamatan Semarang. Lisénsi komersial saka $ 5 / mo
Love TTS.ai? Nyathet kanca-kancamu!

About 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.

Paling apik kanggo: Creative applications where you need custom voice characteristics

Nglayar kabeh Parler TTS suara

Ing cetha

Pangembang
Hugging Face
Lisensi
Apache 2.0
Tingkat
standard
Kecepatan
medium
Kloning suara
Ora
Basa
English
Karakter paling akeh
500

Parler TTS suara

Default

English
Standar Neutral

Parler TTS TTS — FAQ

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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