Yunfan Multilingual: Text to Speech

Yunfan Multilingual voice

The voice Yunfan Multilingual is available in the Azure Text-to-Speech service for the Chinese language.

How to use Yunfan Multilingual voice in your videos

To use Yunfan Multilingual voice in your videos, you can use the following JSON2Video code:

{
    "type": "voice",
    "model": "azure",
    "voice": "zh-CN-YunfanMultilingualNeural",
    "text": "在春天，花园里充满了五颜六色的花朵和鸣禽。 古老的橡树为访客提供阴凉，而蝴蝶在玫瑰丛中跳舞。 一个小小的喷泉发出宁静的声音，使这里成为放松并享受大自然美丽的完美场所。"
}

$scene->addElement([
'voice',
'azure',
'zh-CN-YunfanMultilingualNeural',
'在春天，花园里充满了五颜六色的花朵和鸣禽。 古老的橡树为访客提供阴凉，而蝴蝶在玫瑰丛中跳舞。 一个小小的喷泉发出宁静的声音，使这里成为放松并享受大自然美丽的完美场所。'
]);

scene.addElement([
"voice",
"azure",
"zh-CN-YunfanMultilingualNeural",
"在春天，花园里充满了五颜六色的花朵和鸣禽。 古老的橡树为访客提供阴凉，而蝴蝶在玫瑰丛中跳舞。 一个小小的喷泉发出宁静的声音，使这里成为放松并享受大自然美丽的完美场所。"
]);

Yunfan Multilingual supports SSML

SSML stands for Speech Synthesis Markup Language. It's a way to add instructions to your text so that a Text-To-Speech (TTS) system knows how to read it aloud.

You use SSML like HTML, but for controlling speech. It helps you adjust things like: Pronunciation, Pauses, Pitch and Volume, Emphasis, Speaking Rate.

{
    "type": "voice",
    "voice": "zh-CN-YunfanMultilingualNeural",
    "text": "<speak>Hello, <break time="500ms"/> how are you today? <emphasis level="strong">This is important!</emphasis></speak>"
}

$scene->addElement([
'voice',
'zh-CN-YunfanMultilingualNeural',
'<speak>Hello, <break time="500ms"/> how are you today? <emphasis level="strong">This is important!</emphasis></speak>'
]);

scene.addElement([
"voice",
"zh-CN-YunfanMultilingualNeural",
"<speak>Hello, <break time="500ms"/> how are you today? <emphasis level="strong">This is important!</emphasis></speak>"
]);

Yunfan Multilingual is a neural voice

In Azure Cognitive Services, a Neural voice refers to a voice generated using neural network technology. This means the Text-To-Speech system uses advanced machine learning models to create more natural, human-like speech compared to traditional methods.

Key characteristics of Neural voices:

• More expressive and realistic
• Better at handling pitch, tone, and rhythm variations
• Sounds closer to how humans naturally speak

Yunfan Multilingual is a multilingual voice

A Multilingual voice in Azure Cognitive Services refers to a voice that can speak in multiple languages or accents while maintaining a consistent speaking style.

Key points about Multilingual voices:

• The same voice can pronounce text in different languages accurately
• Useful for applications that switch between languages or need to handle multilingual content
• Maintains natural tone and consistency, even when switching languages