Marcello: Text to Speech

Marcello voice

The voice Marcello is available in the Azure Text-to-Speech service for the Italian language.

How to use Marcello voice in your videos

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

{
    "type": "voice",
    "model": "azure",
    "voice": "it-IT-MarcelloMultilingualNeural",
    "text": "In primavera, il giardino si anima con fiori colorati e uccelli che cantano. Il vecchio albero di quercia fornisce ombra ai visitatori, mentre le farfalle danzano tra le rose. Una piccola fontana crea suoni pacifici, rendendo questo il luogo perfetto per rilassarsi e godere della bellezza della natura."
}

$scene->addElement([
	'type' => 'voice',
	'model' => 'azure',
	'voice' => 'it-IT-MarcelloMultilingualNeural',
	'text' => 'In primavera, il giardino si anima con fiori colorati e uccelli che cantano. Il vecchio albero di quercia fornisce ombra ai visitatori, mentre le farfalle danzano tra le rose. Una piccola fontana crea suoni pacifici, rendendo questo il luogo perfetto per rilassarsi e godere della bellezza della natura.'
]);

scene.addElement({
	"type": "voice",
	"model": "azure",
	"voice": "it-IT-MarcelloMultilingualNeural",
	"text": "In primavera, il giardino si anima con fiori colorati e uccelli che cantano. Il vecchio albero di quercia fornisce ombra ai visitatori, mentre le farfalle danzano tra le rose. Una piccola fontana crea suoni pacifici, rendendo questo il luogo perfetto per rilassarsi e godere della bellezza della natura."
});

Marcello 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": "it-IT-MarcelloMultilingualNeural",
    "text": "<speak>Hello, <break time="500ms"/> how are you today? <emphasis level="strong">This is important!</emphasis></speak>"
}

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

scene.addElement({
	"type": "voice",
	"voice": "it-IT-MarcelloMultilingualNeural",
	"text": "<speak>Hello, <break time="500ms"/> how are you today? <emphasis level="strong">This is important!</emphasis></speak>"
});

Marcello 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

Marcello 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