Immersive contextual audio effects in e-books with generative artificial intelligence (AI) systems
By using generative artificial intelligence models and sensor technology, the sound effects in e-books are dynamically adjusted, solving the problem of insufficient immersive audio effects in existing technologies and achieving a personalized reading experience synchronized with the reader.
Patent Information
- Application Number
- CN202480081067.4
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Priority Date
- 2024-01-04
- Filing Date
- 2024-11-01
- Publication Date
- 2026-07-17
AI Technical Summary
Existing technologies struggle to provide immersive, contextual audio effects for e-book reading, failing to dynamically adjust the sound to match the reader's reading speed and emotions, resulting in a poor reading experience.
Generative artificial intelligence models (LXM) are used to generate context-appropriate voices. Eye-tracking or gaze-tracking sensors are used to determine the text sections that the reader is focused on. The voice effects are adjusted in real time based on reading pace and historical data to dynamically match narrative shifts and reader emotions.
It achieves an immersive audio experience synchronized with the reader's reading, enhancing the sense of participation and comprehension, providing personalized auditory effects, and adapting to different reading habits and emotional changes.
Smart Images
Figure CN122422855A_ABST