Parler TTS

Parler TTS TTS

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

Vpišite se. za 5000 mejnih vrednosti znakov

Za natančen nadzor zavijte svoje besedilo v oznake SSML:

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

Oznake izbranega modela razume – kliknite, da spustite enega v svoje besedilo, kjer se zgodi:

Ta model bere navadno besedilo, zato se v vrstici ignorirajo. Za čustva, ki temeljijo na tag, preklopite na izražen model, kot je Orfeus ali Bark.

Opredelitev posebnih izgovorov (beseda = izgovor):

-12 +12
0.5x 2.0x
Brez Piper, VITS, Melotts
Tukaj se bo pojavil vaš ustvarjeni zvok. Izberite model, vnesite besedilo in kliknite Generiraj.
Uspešno ustvarjen zvok
0:00
Prenesi zvok Prenesi.rt Povezava poteče čez 24h
Brezplačna stopnja: osebna uporaba. Trgovska licenca od 5 $/mo
Ljubi TTS.ai, povej prijateljem!

O projektu 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.

Najboljše za: Creative applications where you need custom voice characteristics

Brskaj vse Parler TTS glasovi

Na pogled

Razvijalec
Hugging Face
Licenca
Apache 2.0
Stopnja
standard
Hitrost
medium
kloniranje glasu
Ne
Jeziki
English
Največ znakov
500

Parler TTS glasovi

Default

English
Standardno Neutral

Parler TTS TTS – Pogosta vprašanja

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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