Hamdan voice
The voice Hamdan is available in the Azure Text-to-Speech service for the Arabic language.
How to use Hamdan voice in your videos
To use Hamdan voice in your videos, you can use the following JSON2Video code:
{
"type": "voice",
"model": "azure",
"voice": "ar-AE-HamdanNeural",
"text": "في فصل الربيع، تنبت الحديقة بالزهور الملونة والطيور الغناء. يوفر البلوط القديم الظل للزائرين، بينما ترقص الفراشات بين الورود. ينشئ نافورة صغيرة أصواتًا هادئة، مما يجعل هذا المكان المثالي للاسترخاء والتمتع بجمال الطبيعة."
}
Hamdan 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": "ar-AE-HamdanNeural",
"text": "<speak>Hello, <break time="500ms"/> how are you today? <emphasis level="strong">This is important!</emphasis></speak>"
}
Hamdan 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