Japanese Text a veu

Gira Japanese text en un discurs natural amb veus de l'AI. 13 veus. Lliure, no es pot signar la descàrrega de l'Mchlov com a MP3 o WAV.

Signa per 5000 caràcters límit

Ajusta el text a les etiquetes SSML per al control precís:

<speak><prosody rate="slow">Slow speech</prosody></speak>

Etiquetes del model seleccionat entenen el clic show clic per a deixar- ne un al text a on succeeix:

Aquest model llegeix text pla, així que les etiquetes inserides s' ignoren. Per a emocions basades en etiquetes, canvieu a un model expressiu com Orfeus o Bark.

Defineix pronúncies personalitzades (word = pronunciació):

-12 +12
0.5x 2.0x
Lliure amb Pipista, VITS, MeloTTS
Aquí apareixerà el vostre àudio generat. Escolliu un model, introduïu text i cliqueu Genera.
L' àudio s' ha generat correctament
0:00
Descarrega àudio Descarrega.srt L' enllaç expirarà el 24h
Correlitzador lliure: ús personal. Llicència de venda de 5/mo
Fes que això sigui la teva pròpia veu Clona una veu en 30 segons
Els teus amics!

Quant a Japanese text a pronunciar

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.

Mostra — 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。”

Nom nadiu
日本語
Altaveus
about 125 million speakers, almost entirely in Japan
Família del llenguatge
Japonic (generally treated as a language isolate at family level)
Script
Mixed Kanji, Hiragana and Katakana
He parlat en
Japan, with small communities in Brazil, Hawaii and immigrant populations

13 Japanese veus

Japanese Speaker 1

Bark
Estàndard Neutral

Japanese Speaker 2

Bark
Estàndard Neutral

Japanese Speaker

Bark Small
Estàndard Neutral

Japanese Female

CosyVoice 2
Estàndard Female

Japanese Female

CosyVoice3
Estàndard Female

Default (Japanese)

Darwin TTS
Estàndard Neutral

Japanese Default

GPT-SoVITS
Estàndard Neutral

Alpha

Kokoro
Lliure Female

Gongitsune

Kokoro
Lliure Female

Japanese

MeloTTS
Lliure Female

Japanese

MOSS-TTS Nano
Estàndard Neutral

Japanese

OpenVoice
Premium Neutral

Ono Anna

Qwen3 TTS
Estàndard Female

El que la gent fa servir Japanese text a parlar per

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 Text a la & PMF; de veu

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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