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.
isyarat pengiriman bahasa alami. yang dihormati oleh Qwen3-TTS hari ini; model ekspresif lain akan segera datang.
Model ini tidak mendukung instruksi gaya å beralih ke model yang melakukan (misalnya Qwen3-TTS).
Definisikan pengucapan ubahan (kata = pelafalan):
-12
+12
Kontrol ekspresif (0 = netral, 1 = sangat ekspresif)
Berat panduan kelas-bebas (lebih tinggi = lebih prompt-following)
Gambarkan gaya suara dalam bahasa alami (Parler menggunakan ini bukan suara preset)
Format Dia Dialog: Gunakan [S1] dan [S2] tag untuk menandai speaker yang berbeda. Contoh: [S1] Hello there! [S2] Hi, bagaimana kabarmu?
Ini adalah model suara premium, tersedia pada setiap rencana yang dibayar. Anda masih dapat mempratinjau suaranya dengan tombol pemutaran di sebelah pemilih suara.
Persian text-to-speech has to reconcile a writing system that omits most short vowels: the Perso-Arabic script normally marks only long vowels, so a synthesizer must infer the missing /a/, /e/, /o/ diacritics from context to pronounce a word correctly. The text also runs right-to-left while embedded Latin numerals and loanwords run left-to-right, forcing the engine to handle bidirectional reordering before phonemization. The ezāfe construction — an unwritten linking vowel that binds nouns to their modifiers — is one of the hardest features to predict and a common source of robotic-sounding Persian audio. Good Persian TTS therefore depends as much on grapheme-to-phoneme modeling and diacritization as on the acoustic voice itself.
Contoh — فارسی
“تبدیل متن به گفتار فارسی به نرمافزار اجازه میدهد نوشتهها را با صدایی طبیعی و روان بخواند.”
BebasMalePenggunaan pribadi dan non-komersial saja
Apa yang orang gunakan Persian teks ke pidato
Narration for Iranian e-learning and university lecture platforms
Voiceovers for Persian-language YouTube and Aparat content
Accessibility screen reading for low-vision Persian users
IVR and call-center prompts for businesses in Iran and the diaspora
Audio versions of Persian news articles and literary classics
Persian Teks ke Pidato ▪ FAQ
Yes. The engine processes the bidirectional layout of Perso-Arabic script and correctly handles embedded Latin numbers, dates, and loanwords so they are spoken in the right order.
Persian script rarely writes short vowels, so the system uses a grapheme-to-phoneme model that infers the missing /a/, /e/, and /o/ sounds and the ezāfe linker from surrounding context.
The voices are trained on standard Iranian Persian (Western Persian). They remain intelligible for Dari readers, but some Afghan pronunciations and vocabulary will follow the Iranian standard.
Yes. Persian uses many Arabic-derived words written with Arabic letters such as ث, ذ, and ض; the model maps these to their Persian pronunciations rather than their original Arabic phonemes.
