Multimodal
Text-to-speech
Text-to-speech converts text into spoken audio.
Quick definition
Text-to-speech converts text into spoken audio.
- Category: Multimodal
- Focus: cross-modal understanding
- Used in: Analyzing screenshots or images with text questions.
What it means
It enables voice responses and accessibility features. In multimodal workflows, text-to-speech often shapes cross-modal understanding.
How it works
Multimodal models align text, vision, and audio signals so one system can reason across modalities.
Why it matters
Multimodal features unlock workflows across text, audio, and images.
Common use cases
- Analyzing screenshots or images with text questions.
- Transcribing speech and summarizing meetings.
- Generating voice responses from text outputs.
Example
Read a chat response aloud.
Pitfalls and tips
Noisy inputs lead to unreliable results. Provide clear images, clean audio, and explicit instructions.
In BoltAI
In BoltAI, this appears when working with audio, images, or voice.
