Persian 文本到语音

转向 Persian 以 AI 声音 进入自然语言的文本 。 1 声音. 免费,没有注册——下载为 MP3 或 WAV 。

签名 对 5,000 字符限制的 5 000 个字符

在 SSML 标记中折行文本以精确控制 :

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

标记选中模式的理解度 - 单击将一个输入到文本中, 发生时 :

这个模型读的是简单的文字, 所以内嵌标签会被忽略。 对于基于标签的情感, 请切换到像 Orpheus 或 Bark 这样的表达模式 。

定义自定义发音( Word = 发音) :

-12 +12
0.5x 2.0x
免费的管道、VITS、MelotTS
您生成的音频将在此显示。 选择一个模型, 输入文本, 并单击生成 。
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使这个声音成为你自己的声音 30秒后打开声音
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关于 Persian 文本到语音

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.

抽样样本 — فارسی

“تبدیل متن به گفتار فارسی به نرم‌افزار اجازه می‌دهد نوشته‌ها را با صدایی طبیعی و روان بخواند.”

原土著名称
فارسی
发言者
~80 million native speakers
语言家庭
Indo-Iranian (Indo-European)
脚本
Perso-Arabic (right-to-left)
说到
Iran, Afghanistan (Dari), Tajikistan (Tajik)

1 Persian 声音

Amir (Persian)

Piper
自由 Male

人使用什么 Persian 文本到 语音的文本

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 文本到语音 - 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.

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