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.
Japanese text-to-speech is governed by pitch accent rather than stress: each word has a fixed high-low pitch pattern, and getting it wrong makes a voice sound foreign even when every syllable is correct — for instance "hashi" can mean bridge or chopsticks depending on the accent. The writing system mixes Kanji, Hiragana and Katakana with no spaces, so the engine must segment text and pick the right reading for Kanji that have several (端 vs 橋 vs 箸). Standard (Tokyo) accent is the default for most synthesis, while regional varieties such as Kansai have a different pitch pattern entirely.
Uzorak — 日本語
“今日はとても良い天気なので、みんなで公園へ散歩に出かけて、美味しいお弁当を食べましょう。”
Native name
日本語
Speakers
about 125 million speakers, almost entirely in Japan
Jezična porodica
Japonic (generally treated as a language isolate at family level)
Script
Mixed Kanji, Hiragana and Katakana
Spoken in
Japan, with small communities in Brazil, Hawaii and immigrant populations
The engine predicts each word's high-low pitch pattern in context, which is what distinguishes pairs like 橋 (hashi, bridge) from 箸 (hashi, chopsticks) and makes the voice sound natural.
Yes. It segments unspaced Japanese text, converts Kanji to the correct reading and handles Katakana loanwords and Hiragana grammar together.
Mostly yes. Readings such as 生 (sei, nama, i-) or names are chosen from context, though uncommon proper nouns can occasionally be ambiguous.
Voices use Standard (Tokyo) pitch accent, which is the norm for narration, announcements and most media; full Kansai-accent synthesis is a different dialect pattern.
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