Audio Mood Visualization via Automated Tag Synchronization
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Solution Overview
Problem
Existing methods for describing data are inaccurate and resource-intensive, requiring manual processes that are time-consuming and lack flexibility.
Innovation Solution
A method and system that receive mood description data, generate mood descriptor files, associate mood tags with animated or still objects, and synchronize these objects with audio data to provide visual mood-based annotations for audio media, allowing for automatic or manual generation and presentation of mood-based visual media.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual processes are used to describe data, then accuracy and flexibility can be maintained, but time consumption and resource requirements increase significantly
Solution Approach 1:
The system enables automatic generation of mood descriptors and visual annotations by analyzing audio data itself, without requiring external manual intervention. The audio data serves its own description through automated mood detection and tag generation, eliminating the time-consuming manual process while maintaining accuracy through systematic analysis
Solution Approach 2:
The patent replaces manual mechanical processes with automated computational systems. Computer processors automatically analyze audio data, generate mood descriptors, and create visual annotations, substituting human manual operations with efficient algorithmic processes that reduce time consumption while preserving description quality
2Manufacturing precision
If manual processes are used to describe data, then control and precision can be maintained, but resource requirements and complexity increase
Solution Approach 1:
The system divides the data description process into distinct modular components: audio data reception, mood descriptor generation, tag library matching, and visual annotation creation. Each module performs a specific function independently, reducing overall system complexity while maintaining precise control over each description stage through specialized processing
Solution Approach 2:
The patent creates a universal system that handles multiple data description tasks through a single integrated platform. The same computational infrastructure generates mood descriptors, matches tags, and produces visual annotations for various audio files, reducing the need for multiple specialized systems and simplifying overall complexity while maintaining description quality
3Productivity
If automated mood detection is implemented, then productivity and efficiency improve, but system complexity increases
Solution Approach 1:
The system performs preliminary organization by pre-structuring the tag library with mood tags and associated visual objects before actual audio analysis. This preliminary preparation enables faster automated processing during execution, as the system already has organized reference data ready for matching, thereby improving productivity without proportionally increasing operational complexity
Solution Approach 2:
The patent introduces a mood tag library as an intermediary layer between raw audio data and final visual annotations. This intermediate structure simplifies the automated detection process by providing pre-defined mood categories and associated visuals, allowing the system to efficiently match detected moods to appropriate tags and objects without directly managing all complexity internally
Data Source
AI summary
An audio media visualization method and system. The method includes receiving by a computing processor, mood description data describing different human emotions/moods. The computer processor an audio file comprising audio data and generates a mood descriptor file comprising portions of the audio data associated with specified descriptions of the mood description data. The computer processor receives a mood tag library file comprising mood tags mapped to animated and/or still objects representing various emotions/moods and associates each animated and/or still object with an associated description. The computer processor synchronizes the animated and/or still objects with the portions of said audio data and presents the animated and/or still objects synchronized with the portions of said audio data.