Larissa voice
The voice Larissa is available in the Azure Text-to-Speech service for the Spanish language.
How to use Larissa voice in your videos
To use Larissa voice in your videos, you can use the following JSON2Video code:
{
"type": "voice",
"model": "azure",
"voice": "es-MX-LarissaNeural",
"text": "En primavera, el jard\u00edn cobra vida con flores coloridas y p\u00e1jaros cantando. El viejo roble proporciona sombra para los visitantes, mientras las mariposas bailan entre las rosas. Una peque\u00f1a fuente crea sonidos de paz, convirti\u00e9ndose en el lugar perfecto para relajarse y disfrutar de la belleza de la naturaleza."
}
Larissa 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": "es-MX-LarissaNeural",
"text": "<speak>Hello, <break time="500ms"/> how are you today? <emphasis level="strong">This is important!</emphasis></speak>"
}
Larissa 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