Contextual Audio Selection for Electronic Media
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Solution Overview
Problem
Existing music selection systems for electronic media files are inefficient as they rely on user search and metadata-based selection, lacking context-based time indexing and requiring specialized knowledge, making it difficult to find the perfect audio track to match the content and context of media files.
Innovation Solution
A computer-implemented method and system that parses electronic media files to determine context, compares it against a database of context tags for audio files, generates a ranked list of matching audio files, and selects the best-fit audio to create a synchronized output file, allowing for effortless audio selection without specialized skills.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If prior systems use metadata-based audio file selection, then the selection process is simplified, but the accuracy and contextual relevance of the selected audio is reduced
Solution Approach 1:
The patent segments the audio file into multiple segments with different contexts (e.g., intro, chorus, bridge) and assigns context tags to each segment. This allows the system to select specific audio segments that match the electronic media file's context rather than selecting entire audio files based on coarse metadata, thereby improving contextual matching accuracy while maintaining ease of operation through automated segment-level selection
Solution Approach 2:
The patent changes the parameter of audio selection from file-level metadata attributes to segment-level context tags. By extracting context information from audio segments (such as mood, tempo, instrumentation) and comparing it with the electronic media file's context, the system achieves more precise contextual matching while keeping the user interface simple and automated
2Adaptability or versatility
If users perform active search for audio files, then selection flexibility is improved, but time efficiency and ease of use are reduced
Solution Approach 1:
The patent performs preliminary action by automatically analyzing the electronic media file's context (visual content, text, mood) and pre-matching it with appropriate audio segments from the audio file before user interaction. The system generates a ranked list of matching audio segments based on contextual relevance, allowing users to simply select from pre-filtered options rather than performing active search, thereby reducing time loss while maintaining flexibility
Solution Approach 2:
The system performs self-service by automatically extracting context from the electronic media file, comparing it with context tags in the audio database, and generating ranked audio segment recommendations without requiring user knowledge of audio scoring or manual searching. This automated self-service approach saves time while maintaining adaptability through context-based matching
3Stability of the object's composition
If time index is based on user's last position, then playback continuity is improved, but contextual relevance of selected audio is reduced
Solution Approach 1:
The patent changes the parameter for determining audio playback position from user-based time index (last listened position) to context-based time indexing. The system identifies contextually useful time points in the audio file by analyzing where context tags change or where emotional/mood shifts occur, and synchronizes these with corresponding moments in the electronic media file. This maintains playback continuity while improving contextual relevance by aligning audio segments with emotionally significant moments in the media content
Data Source
AI summary
A computer-implemented method for contextually applying audio to an electronic media content, includes the following steps: parsing the electronic media content to determine at least one context of the electronic media content; comparing the at least one context of the electronic media content against a database of context tags corresponding to at least one context of a plurality of audio files; generating a ranked list of audio files corresponding to the comparison of the at least one context of the electronic media content against the database of context tags; selecting at least one audio file from the ranked list; and outputting the electronic media file together with the at least one audio file.