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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 taun kapungkur. →
Langganan for 5,000 characters limit

Ngresiki teks ing tag SSML kanggo kontrol presisi:

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

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

Model iki maca teks biasa, mula tag ing baris diabaikan. Kanggo emosi berbasis tag, ganti menyang model ekspresif kaya Orpheus utawa Bark.

Nyathet tembung-tembung standar (kata = tembung):

-12 +12
0.5x 2.0x
Bebas karo Piper, VITS, MeloTTS
Audio sing digawé bakal katon ing kene. Pilih modél, ketik teks, lan pencet Ngembangaké.
Audio Digawé kanthi Sukses
0:00
Unduh Audio Download.srt Link expires in 24h
Ing basa Indonésia, iku tegesé: pribadi. Lisénsi komersial saka $5/mo
TTS.ai? Nyathet kanca-kancamu!

Ngendi 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

Jajal kabeh Parler TTS swara

Ing cetha

Pangembang
Hugging Face
Lisénsi
Apache 2.0
Tanggal
standard
Kecepatan
medium
Kloning swara
Ora
Basa
English
Aksara paling akèh
500

Parler TTS swara

Default

English
Standar Neutral

Parler 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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