Tag yang dipilih mengerti klik °C untuk memasukkan satu ke dalam teks Anda di mana hal itu terjadi:
Model ini membaca teks biasa, sehingga tag inline diabaikan. Untuk tag berbasis emosi, beralih ke model ekspresif seperti Orpheus atau Bark.
isyarat pengiriman bahasa alami. yang dihormati oleh Qwen3-TTS hari ini; model ekspresif lain akan segera datang.
Model ini tidak mendukung instruksi gaya å beralih ke model yang melakukan (misalnya Qwen3-TTS).
Definisikan pengucapan ubahan (kata = pelafalan):
-12
+12
Kontrol ekspresif (0 = netral, 1 = sangat ekspresif)
Berat panduan kelas-bebas (lebih tinggi = lebih prompt-following)
Gambarkan gaya suara dalam bahasa alami (Parler menggunakan ini bukan suara preset)
Format Dia Dialog: Gunakan [S1] dan [S2] tag untuk menandai speaker yang berbeda. Contoh: [S1] Hello there! [S2] Hi, bagaimana kabarmu?
Ini adalah model suara premium, tersedia pada setiap rencana yang dibayar. Anda masih dapat mempratinjau suaranya dengan tombol pemutaran di sebelah pemilih suara.
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.
Contoh — 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。”
Nama asli
日本語
Speaker
about 125 million speakers, almost entirely in Japan
Keluarga bahasa
Japonic (generally treated as a language isolate at family level)
Skrip
Mixed Kanji, Hiragana and Katakana
Berbicara dalam
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.
