Voice Comparison
Different voices suit different content types and accessibility needs
Try it yourself
Copy this text and paste it into the chatbot:
5 guided experiments with voices, engines, and SSML markup
Now let's walk through what you just deployed and see it in action.
Start WalkthroughCreate your business case documentation with what you've learned.
Generate Evidence Pack5 guided experiments with voices, engines, and SSML markup
5 guided experiments to understand voice options, neural engines, and SSML customization.
Pre-loaded for immediate exploration
✓ Free - no AWS charges
What is this data?
Simulated public announcement templates
What does it represent?
Typical UK council public communications
Important:
This is fictional data with no connection to any real council system
How was it generated?
Generated from GOV.UK announcement patterns
Experiments completed: 0 of 5
Different voices suit different content types and accessibility needs
Copy this text and paste it into the chatbot:
Neural engine sounds more natural but costs more; understand the trade-offs
Copy this text and paste it into the chatbot:
SSML gives fine control over pronunciation, pauses, and emphasis
Copy this text and paste it into the chatbot:
AI handles most terms well but some council-specific language needs guidance
Copy this text and paste it into the chatbot:
Different content types benefit from different voice and speed settings
Copy this text and paste it into the chatbot: