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):
-12
+12
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?
Ovo je premium model glasa, dostupan na bilo kojem plaćenom planu. Još uvijek možete besplatno pregledati njegove glasove pomoću gumba za reprodukciju pored birača glasa.
Thai is a tonal language with five tones (mid, low, falling, high, rising) signaled by a combination of consonant class, vowel length and tone marks — so a Thai TTS engine cannot just read characters left to right; it must compute the tone of each syllable from those interacting rules. The script is written with no spaces between words, which makes word segmentation the single hardest preprocessing step, since incorrect boundaries change both pronunciation and meaning. Thai voices are in heavy demand for ride-hailing and delivery app prompts, banking IVR and tourism content across Southeast Asia.
Voice prompts for Thai ride-hailing and food-delivery apps
Banking and telecom IVR systems in Thailand
Tourism audio guides for visitors to Bangkok and the islands
Thai-language e-learning and language-app narration
Accessibility screen readers for Thai-script content
Thai Tekst u govor - FAQ
It applies Thai tone rules, computing each syllable's tone from the consonant class, the vowel length and any tone marks — the same logic a native reader uses — rather than relying on the text to spell out pitch.
Yes. Word segmentation is built into preprocessing, so continuous Thai text (which has no inter-word spaces) is split into correct units before synthesis, avoiding mispronunciations from wrong boundaries.
It reproduces the full five-tone system — mid, low, falling, high and rising — which is critical because tone alone distinguishes otherwise identical Thai syllables.
Digits, currency in baht and Buddhist-era as well as Gregorian dates are normalized to natural spoken Thai, including the language's distinctive counting and classifier patterns.
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