Yunzhe: Text to Speech

Yunzhe voice

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

How to use Yunzhe voice in your videos

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

{
    "type": "voice",
    "model": "azure",
    "voice": "wuu-CN-YunzheNeural",
    "text": "在春天时节，花园里开满了五光十色的花朵，还有歌唱的小鸟。老橡树为游客提供了阴凉之处，蝴蝶在玫瑰花丛中翩翩起舞。一座小喷泉发出悠扬的声音，使这里成为放松和享受大自然之美的完美场所。"
}

$scene->addElement([
'voice',
'azure',
'wuu-CN-YunzheNeural',
'在春天时节，花园里开满了五光十色的花朵，还有歌唱的小鸟。老橡树为游客提供了阴凉之处，蝴蝶在玫瑰花丛中翩翩起舞。一座小喷泉发出悠扬的声音，使这里成为放松和享受大自然之美的完美场所。'
]);

scene.addElement([
"voice",
"azure",
"wuu-CN-YunzheNeural",
"在春天时节，花园里开满了五光十色的花朵，还有歌唱的小鸟。老橡树为游客提供了阴凉之处，蝴蝶在玫瑰花丛中翩翩起舞。一座小喷泉发出悠扬的声音，使这里成为放松和享受大自然之美的完美场所。"
]);

Yunzhe 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": "wuu-CN-YunzheNeural",
    "text": "<speak>Hello, <break time="500ms"/> how are you today? <emphasis level="strong">This is important!</emphasis></speak>"
}

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

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

Yunzhe 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