Tag kang dipahami model kang dipilih — klik kanggo ngethok siji menyang teks sampeyan ing ngendi iku kedadeyan:
Model ieu maca teks biasa, jadi tag inline diabaikan. Pikeun emosi dumasar tag, ganti ka model ekspresif kayaning Orpheus atawa Bark.
Cues pangiriman basa alami. Dihormat ku Qwen3-TTS ayeuna; model ekspresif séjénna bakal datang.
Model ieu henteu ngadukung instruksi gaya — ganti kana model anu ngadukung (contona Qwen3-TTS).
Nyathet pangucapan standar (kata = pangucapan):
-12
+12
Ngontrol ekspresifitas (0 = netral, 1 = banget ekspresif)
Beban panuntun tanpa klasifikator (luwih dhuwur = luwih nuntun)
Nyathet gaya swara nganggo basa alami (Parler nggunakake iki tinimbang swara sing ditetepake)
Формат диалога: Gunake tag [S1] lan [S2] kanggo nyambungake pamicara sing beda. Conto: [S1] Halo! [S2] Halo, apa kabarmu?
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.
Sampel — 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
Speakers
about 125 million speakers, almost entirely in Japan
Kulawarga basa
Japonic (generally treated as a language isolate at family level)
Скрипт
Mixed Kanji, Hiragana and Katakana
Diucapkan ing
Japan, with small communities in Brazil, Hawaii and immigrant populations
Apa wong nggunakake 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-ka-ucapan — 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.
Ngetik alamat surélék anjeun pikeun terus ngahasilkeun basa gratis, atanapi ngadaptar pikeun 15.000 karakter bonus.
Ora perlu tembung sandhi — kita bakal ngirim link kanggo ngganti tembung sandhi mengko.
Ambang Lapisan Bebas Dicapai
Anjeun geus dipaké 5,000 karakter bébas poéan anjeun. Nyiptakeun akun bébas pikeun meunangkeun 15,000 karakter bonus plus 10,000 karakter bébas unggal bulan.
