Oznake koje odabrani model razumije — kliknite da biste ih ubacili u tekst gdje se pojavljuju:
Ovaj model čita običan tekst, tako da se inline oznake ignoriraju. Za emocije zasnovane na oznakama, prebacite se na ekspresivni model poput Orpheusa ili Bark-a.
Prirodni jezik dostave signala. Poštovan od strane Qwen3-TTS danas; drugi ekspresivni modeli dolaze uskoro.
Ovaj model ne podržava stilske instrukcije - prebacite se na model koji ih podržava (npr. Qwen3-TTS).
Definirajte vlastite izgovore (riječ = izgovor):
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Kontrolira ekspresivnost (0 = neutralno, 1 = vrlo ekspresivno)
Težina vodilja bez klasifikatora (više = više praćenja prompta)
Opis stila glasa u prirodnom jeziku (Parler koristi ovo umjesto unaprijed postavljenih glasova)
Dia Dialog Format: Koristite [S1] i [S2] oznake za označavanje različitih govornika. Primjer: [S1] Zdravo! [S2] Zdravo, kako ste?
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Persian text-to-speech has to reconcile a writing system that omits most short vowels: the Perso-Arabic script normally marks only long vowels, so a synthesizer must infer the missing /a/, /e/, /o/ diacritics from context to pronounce a word correctly. The text also runs right-to-left while embedded Latin numerals and loanwords run left-to-right, forcing the engine to handle bidirectional reordering before phonemization. The ezāfe construction — an unwritten linking vowel that binds nouns to their modifiers — is one of the hardest features to predict and a common source of robotic-sounding Persian audio. Good Persian TTS therefore depends as much on grapheme-to-phoneme modeling and diacritization as on the acoustic voice itself.
Uzorak — فارسی
“تبدیل متن به گفتار فارسی به نرمافزار اجازه میدهد نوشتهها را با صدایی طبیعی و روان بخواند.”
SlobodanMaleSamo za ličnu i nekomercijalnu upotrebu
Šta ljudi koriste Persian tekst u govor za
Narration for Iranian e-learning and university lecture platforms
Voiceovers for Persian-language YouTube and Aparat content
Accessibility screen reading for low-vision Persian users
IVR and call-center prompts for businesses in Iran and the diaspora
Audio versions of Persian news articles and literary classics
Persian Tekst u govor - FAQ
Yes. The engine processes the bidirectional layout of Perso-Arabic script and correctly handles embedded Latin numbers, dates, and loanwords so they are spoken in the right order.
Persian script rarely writes short vowels, so the system uses a grapheme-to-phoneme model that infers the missing /a/, /e/, and /o/ sounds and the ezāfe linker from surrounding context.
The voices are trained on standard Iranian Persian (Western Persian). They remain intelligible for Dari readers, but some Afghan pronunciations and vocabulary will follow the Iranian standard.
Yes. Persian uses many Arabic-derived words written with Arabic letters such as ث, ذ, and ض; the model maps these to their Persian pronunciations rather than their original Arabic phonemes.
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