Tag kang dipahami model kang dipilih - klik kanggo ngethok siji ing teks sampeyan ing ngendi iku kedadeyan:
Model iki maca teks biasa, mula tag ing baris diabaikan. Kanggo emosi berbasis tag, ganti menyang model ekspresif kaya Orpheus utawa Bark.
Cues pangiriman basa alami. Dihormati déning Qwen3-TTS saiki; modél ekspresif liyane bakal teka.
Model iki ora nyokong instruksi gaya — ganti menyang model sing nyokong (kayata Qwen3-TTS).
Nyathet tembung-tembung standar (kata = tembung):
-12
+12
Kontrol ekspresifitas (0 = netral, 1 = banget ekspresif)
Klasifikasi-gratis bobot guide (luwih dhuwur = luwih prompt-following)
Nyathet gaya swara ing basa alami (Parler nggunakake iki tinimbang swara kang wis ditetepake)
Dialog Format: Gunake tag [S1] lan [S2] kanggo nyathet panyatur kang béda. Conto: [S1] Halo! [S2] Halo, apa kabarmu?
Iki ya iku model swara premium, kang kasedhiya ing rencana bayar apa wae. Sampeyan bisa uga ndeleng prabédan swara kanthi gratis nganggo tombol main ing sisihé pemilih swara.
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.
Conto — 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
Kulawarga basa
Japonic (generally treated as a language isolate at family level)
Skrip
Mixed Kanji, Hiragana and Katakana
Diucapake ing
Japan, with small communities in Brazil, Hawaii and immigrant populations
Apa sing digunakake wong Japanese teks dadi swara kanggo
Anime, VTuber and game character dubbing
Train, subway and station announcements
E-learning and JLPT study narration
Audiobook and light-novel narration
Customer-service and navigation voice prompts
Japanese Teks kanggo Basa - FAQ
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.
Ing taun 2000, dhèwèké diundang kanggo main ing filem The 1500 Days of Christmas.
Ora perlu sandi — kita bakal ngirim link menyang email kanggo nyetel sandi sabanjuré.
Batas Lapisan Bebas Ditempuh
Sampeyan wis nggunakake 5,000 karakter gratis saben dina. Cipta akun gratis kanggo entuk 15,000 karakter bonus ditambah 10,000 karakter gratis saben wulan.
