Automated Content Customization via Graph-Based Attribute Replacement
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Solution Overview
Problem
Personalizing digital content, such as audiobooks, is time-consuming and inefficient, requiring extensive re-recording of narration to replace character names and references, making it expensive and impractical for customization.
Innovation Solution
A computer-implemented content processing service that uses social graphs and supplemental graphs to automatically replace character names and attributes in digital content with user-specific information, allowing for personalized modifications of text, audio, and multimedia content.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a narrator re-records narration to personalize digital content for different users, then the content can be customized to user preferences, but the process becomes time-consuming and expensive
Solution Approach 1:
The patent uses text-to-speech synthesis to create audio narration from text, effectively copying the narration process digitally rather than requiring physical re-recording. The system generates personalized audiobooks by synthesizing speech from modified text content, allowing rapid customization without time-consuming human re-recording sessions
Solution Approach 2:
The patent replaces the mechanical process of human narration recording with an automated text-to-speech system. This substitution eliminates the need for physical recording sessions, studio equipment usage, and manual audio editing, transforming a labor-intensive process into an automated computational task
2Adaptability or versatility
If a narrator re-records narration to personalize digital content for different users, then the content can be customized to user preferences, but the cost increases significantly
Solution Approach 1:
The system creates digital copies of narration through text-to-speech synthesis rather than requiring expensive human recording sessions. This digital copying approach eliminates recurring costs associated with professional narrators, studio time, and audio production resources for each personalized version
Solution Approach 2:
The system enables self-service content personalization where users can automatically generate customized audiobooks without requiring professional narration services. The automated text-to-speech system performs the narration generation independently, eliminating the need for expensive human labor in the personalization process
3Adaptability or versatility
If multiple character mappings are created to personalize content for different users, then user-specific customization is achieved, but the complexity of the process increases
Solution Approach 1:
The patent implements a universal text-to-speech system that handles all character voice generation through a single automated process. This multi-functional approach replaces multiple specialized recording sessions with one unified synthesis system that can generate any character voice programmatically
Solution Approach 2:
The system controls character voice differentiation through parameter changes in the text-to-speech synthesis process, such as modifying pitch, tone, and speech characteristics programmatically. This parameter-based approach simplifies the complexity by using automated controls rather than requiring separate recording sessions for each character
Data Source
AI summary
A content processing service may analyze an item of original content and identify several objects, attributes of those objects, and relationships between those objects present in the item of original content. The content processing service may also analyze a source graph, such as a social graph or supplemental graph, and identify several objects, attributes of those objects, and relationships between objects present in the source graph. The content processing service may customize the item of original content by selecting an original object and selecting a source graph object. One or more of the attributes or relationships of the selected original object in the item of original content may be replaced by one or more of the attributes or relationships of the selected source graph object. To customize items of audio content, audio content associated with the source graph object may replace audio content associated with the target graph object.