Tags den valgte model forstår! klik for at droppe en i din tekst, hvor det sker:
Denne model læser almindelig tekst, så inline tags ignoreres. For tag-baserede følelser, skifte til en ekspressiv model som Orpheus eller Bark.
Natural-language levering cues. Æret af Qwen3-TTS i dag; andre udtryksfulde modeller kommer snart.
Denne model understøtter ikke style instruktioner! skifte til en model, der gør (f.eks Qwen3-TTS).
Definer brugerdefinerede udtaler (ord = udtale):
-12
+12
Kontrollerer udtryksfuldhed (0 = neutral, 1 = meget udtryksfuld)
Classifier-fri vejledning vægt (højere = mere hurtig-følgende)
Beskriv stemmestilen i naturligt sprog (Parler bruger dette i stedet for forudindstillede stemmer)
Dia- dialogformat: Brug [S1] og [S2] tags til at markere forskellige højttalere. Eksempel: [S1] Hej der! [S2] Hej, hvordan har du det?
Dette er en premium stemmemodel, tilgængelig på enhver betalt plan. Du kan stadig få vist sine stemmer gratis med play-knappen ved siden af stemmevælgeren.
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.
Prøve — 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。”
Navn
日本語
Højttalere
about 125 million speakers, almost entirely in Japan
Sprogfamilie
Japonic (generally treated as a language isolate at family level)
Script
Mixed Kanji, Hiragana and Katakana
Talt i
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.
