Jenny: Text to Speech

Jenny voice

The voice Jenny is available in the Azure Text-to-Speech service for the English language.

How to use Jenny voice in your videos

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

{
    "type": "voice",
    "model": "azure",
    "voice": "en-US-JennyMultilingualNeural",
    "text": "In springtime, the garden comes alive with colorful flowers and singing birds. The old oak tree provides shade for visitors, while butterflies dance among the roses. A small fountain creates peaceful sounds, making this the perfect spot to relax and enjoy nature's beauty."
}

$scene->addElement([
'voice',
'azure',
'en-US-JennyMultilingualNeural',
'In springtime, the garden comes alive with colorful flowers and singing birds. The old oak tree provides shade for visitors, while butterflies dance among the roses. A small fountain creates peaceful sounds, making this the perfect spot to relax and enjoy nature\'s beauty.'
]);

scene.addElement([
"voice",
"azure",
"en-US-JennyMultilingualNeural",
"In springtime, the garden comes alive with colorful flowers and singing birds. The old oak tree provides shade for visitors, while butterflies dance among the roses. A small fountain creates peaceful sounds, making this the perfect spot to relax and enjoy nature's beauty."
]);

Jenny 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": "en-US-JennyMultilingualNeural",
    "text": "<speak>Hello, <break time="500ms"/> how are you today? <emphasis level="strong">This is important!</emphasis></speak>"
}

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

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

Jenny 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

Jenny 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