Audio Classification Markers for Objectionable Sound Filtering
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Solution Overview
Problem
There is a need for playback devices to automatically discern and respond to objectionable, confusing, or traumatic sounds in audio content to customize user experiences based on individual preferences, as existing technologies fail to effectively address user discomfort caused by such sounds.
Innovation Solution
The implementation of classification markers encoded in high-frequency sounds within audio content, which can be detected by user devices to trigger responses such as audio filtering or visual alerts, allowing users to customize their experience by identifying and managing undesirable sounds based on predefined categories and settings.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If classification markers are encoded in high frequency sounds, then the ability to detect and respond to undesirable content is improved, but the complexity of the device increases
Solution Approach 1:
Classification markers are inserted into content assets in advance during encoding or preprocessing. These markers contain pre-defined information about undesirable content (such as profanity, violence, or sensitive topics) that will be detected by the playback device, eliminating the need for complex real-time analysis of the entire audio stream.
Solution Approach 2:
The classification marker acts as an intermediary element between the content asset and the playback device. Instead of directly analyzing complex audio content to identify undesirable elements, the system uses these embedded markers as simplified signals that convey information about content classification, thereby reducing detection complexity.
2Productivity
If classification markers are inserted during content playback, then real-time filtering is improved, but the loss of time for processing increases
Solution Approach 1:
Classification markers are inserted into content assets during the encoding or preprocessing stage, before playback occurs. This preliminary action allows the playback device to immediately recognize and respond to undesirable content without requiring time-consuming analysis during actual playback, thus enabling real-time filtering with minimal processing delay.
3Adaptability or versatility
If users can customize undesirable content categories, then user preference adaptation is improved, but the device complexity increases
Solution Approach 1:
The classification system divides undesirable content into distinct categories (such as profanity, violence, sexual content, etc.), each represented by specific classification markers. Users can selectively enable or disable filtering for each category independently, allowing customization without requiring the entire system to become more complex.
Solution Approach 2:
The playback device incorporates a universal classification marker detection mechanism that can handle multiple content categories through a single integrated system. This multi-functional approach allows users to customize filtering preferences across different content types while using one unified detection and response framework, avoiding the need for separate complex systems for each category.
Data Source
AI summary
A computing device may be configured to receive an audio segment and to determine whether the audio segment comprises one or more classification markers. The classification marker may be encoded in high-frequency sounds. One or more setting may be associated with the classification marker (e.g., objectionable, confusing, traumatic, dangerous, etc.). The computing device may be configured to, based on the one or more settings, perform an action (e.g., suppress the audio segment, provide a visual indicator, customized response, reducing volume, noise cancellation).