Japanese Testo al discorso

Gira Japanese testo in discorso naturale con le voci AI. 13 voci. Gratis, nessun download di iscrizione come MP3 o WAV.

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Avvolgi il tuo testo nei tag SSML per un controllo preciso:

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

Tags il modello selezionato comprende clic su

Questo modello legge testo semplice, quindi i tag inline vengono ignorati. Per le emozioni basate sui tag, passare a un modello espressivo come Orpheus o Bark.

Definire le pronunciazioni personalizzate (parola = pronuncia):

-12 +12
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Gratis con Piper, VITS, MeloTTS
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Informazioni Japanese testo a discorso

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.

Campione — 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。”

Nome nativo
日本語
Altoparlanti
about 125 million speakers, almost entirely in Japan
Famiglia linguistica
Japonic (generally treated as a language isolate at family level)
Script
Mixed Kanji, Hiragana and Katakana
Hai parlato?
Japan, with small communities in Brazil, Hawaii and immigrant populations

13 Japanese voci

Japanese Speaker 1

Bark
Standard Neutral

Japanese Speaker 2

Bark
Standard Neutral

Japanese Speaker

Bark Small
Standard Neutral

Japanese Female

CosyVoice 2
Standard Female

Japanese Female

CosyVoice3
Standard Female

Default (Japanese)

Darwin TTS
Standard Neutral

Japanese Default

GPT-SoVITS
Standard Neutral

Alpha

Kokoro
Libero Female

Gongitsune

Kokoro
Libero Female

Japanese

MeloTTS
Libero Female

Japanese

MOSS-TTS Nano
Standard Neutral

Japanese

OpenVoice
Premio Neutral

Ono Anna

Qwen3 TTS
Standard Female

Cosa usa la gente Japanese testo all'intervento 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 Testo alla FAQ di Discorso

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.

Lingue correlate