Japanese Teks ke Pidato

Belok Japanese mengirim teks ke dalam pidato alami dengan suara AI. 13 suara. Bebas, tidak ada pendaftaran å download sebagai MP3 atau WAV.

Daftar untuk batas 5,000 karakter

Bungkus teks Anda dalam tag SSML untuk kendali yang tepat:

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

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.

Definisikan pengucapan ubahan (kata = pelafalan):

-12 +12
0.5x 2.0x
Free with Piper, VITS, Melotts
Audio yang Anda buat akan muncul di sini. Pilih model, masukkan teks, dan klik Generate.
Hasil Audio Berhasil
0:00
Unduh Audio Unduh.srt Sambungan berakhir dalam 24 jam
Tingkatan bebas: penggunaan pribadi. Ijin komersial dari $5/mo
Buatlah ini suara Anda sendiri Kloning suara dalam 30 detik
Beritahu teman-temanmu!

Tentang Japanese teks ke pidato

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

13 Japanese suara

Japanese Speaker 1

Bark
Standar Neutral

Japanese Speaker 2

Bark
Standar Neutral

Japanese Speaker

Bark Small
Standar Neutral

Japanese Female

CosyVoice 2
Standar Female

Japanese Female

CosyVoice3
Standar Female

Default (Japanese)

Darwin TTS
Standar Neutral

Japanese Default

GPT-SoVITS
Standar Neutral

Alpha

Kokoro
Bebas Female

Gongitsune

Kokoro
Bebas Female

Japanese

MeloTTS
Bebas Female

Japanese

MOSS-TTS Nano
Standar Neutral

Japanese

OpenVoice
Premium Neutral

Ono Anna

Qwen3 TTS
Standar Female

Apa yang orang gunakan Japanese teks ke pidato

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 ke Pidato ▪ 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.

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