Urdu 文本到语音

转向 Urdu 以 AI 声音 进入自然语言的文本 。 2 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
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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 。
音频生成成功
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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 Urdu 文本到语音

Urdu text-to-speech has to solve a problem most languages hand the model for free: the vowels are largely not written. Everyday Urdu omits the short-vowel diacritics, so the same consonant skeleton can be read several ways and the synthesizer must infer the intended vowels from context and word shape before it can pronounce anything at all. On top of that the language is written right-to-left in the cursive Nastaʿlīq style, draws its formal vocabulary from Persian and Arabic while sharing an everyday spoken core with Hindi, and preserves the aspirated and retroflex consonant contrasts of its Indo-Aryan family. Get those right and Urdu synthesis is genuinely useful: it reaches an audience where listening often beats reading, which is why demand comes from news, education, public-service messaging, and telecom IVR across Pakistan and the diaspora.

抽样样本 — اردو

“متن سے آواز میں تبدیلی کی ٹیکنالوجی طالب علموں اور پیشہ ور افراد کو اپنی تحریریں آسانی سے سننے میں مدد دیتی ہے۔”

原土著名称
اردو
发言者
Around 230 million speakers worldwide, the national language of Pakistan and one of India’s scheduled languages
语言家庭
Indo-Aryan (Indo-European)
脚本
Perso-Arabic (Nastaʿlīq style)
说到
Pakistan, northern and central India, and large diaspora communities in the United Kingdom, the Gulf states, and North America

2 Urdu 声音

Aegis (Urdu)

Piper
自由 Female

Fasih (Urdu)

Piper
自由 Male

人使用什么 Urdu 文本到 语音的文本

News and current-affairs narration for Pakistani and Indian audiences
Educational and literacy content where listening outperforms reading
Government and public-health announcements
Telecom and banking IVR across Pakistan
Audiobooks and poetry, a form with deep roots in Urdu literary culture

Urdu 文本到语音 - FAQ

The model learns the vowel patterns from context rather than from the text itself. Because everyday Urdu omits the short-vowel diacritics, pronunciation depends on recognising the word and its grammatical role, which is exactly what a trained neural voice does well. Adding diacritics is not required, though unusual proper nouns and rare loanwords are the most likely places to hear an unexpected reading.

In casual speech the two share a large common core and are broadly mutually intelligible, but for synthesis they are not interchangeable. They use different scripts, and Urdu draws its formal and literary vocabulary from Persian and Arabic where Hindi draws on Sanskrit. A Hindi voice cannot read the Perso-Arabic script at all, so Urdu needs its own voice.

It reflects standard Pakistani Urdu, the register used in broadcasting and education. Regional accents across Pakistan and India vary considerably, but the standard is the form most listeners expect from news and formal narration.

Yes. Script direction affects how text is displayed, not the order in which it is spoken. Paste Urdu text as you normally write it and the voice reads it in the correct spoken order, including embedded numbers and Latin-script brand names.

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