## Text-Based Instruction Set: Audio Feature Extraction Protocol ### Overview The image contains a technical instruction set for extracting and categorizing audio features from captions and labels. It outlines a structured JSON output format with three keys: `events`, `scenes`, and `other features`, each requiring specific types of audio-related information. ### Components/Axes - **Keys**: 1. `events`: Unique foreground events in the caption. 2. `scenes`: Broader background scene or background events in the audio. 3. `other features`: Additional audio-related features not covered by the first two keys. - **Output Format**: - JSON structure with comma-separated Pythonic lists for each key. - Empty values if no information is available for a key. ### Detailed Analysis - **Text Content**: The text provides explicit instructions for parsing audio descriptions into three categories: - **Foreground Events**: Specific, unique occurrences in the audio (e.g., "a dog barking"). - **Background Scenes**: General environmental context (e.g., "city street noise"). - **Other Features**: Miscellaneous audio attributes (e.g., "echo effect"). - Placeholders for `caption` and `label` are included but left empty in the example. - **Spatial Grounding**: - The text is left-aligned with no visual hierarchy beyond paragraph breaks. - No legends, axes, or numerical data present. ### Key Observations - The instructions emphasize ignoring phrases that do not semantically align with the audio label. - No numerical values, trends, or data points are provided in the image. ### Interpretation This protocol is designed for natural language processing (NLP) tasks involving audio-visual data alignment. It prioritizes semantic relevance over exhaustive extraction, ensuring only contextually meaningful phrases are included. The absence of example data suggests this is a template for future use, requiring manual or automated input of actual audio descriptions. ## No numerical data, charts, or diagrams present. The image is purely textual.