Audible Proximity Messaging via Keyword-Triggered Audio Insertion
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Solution Overview
Problem
Current technologies lack effective methods to seamlessly integrate audio messages into audio content based on user preferences, location, and activity, limiting the ability to provide relevant and timely information to users through audio streams.
Innovation Solution
An audible messaging system that analyzes audio tracks for keywords, matches them with user-specific messages, and plays these messages at relevant locations within the audio content, using a network architecture that includes beacons for location-based services and message communicators to deliver targeted messages.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If audio messages are integrated into audio content based on user preferences and location, then user engagement and information delivery are improved, but system complexity increases
Solution Approach 1:
The patent introduces an audible message provider as an intermediary component that sits between the audio content source and the user. This mediator receives audio content, analyzes it for keywords, matches keywords with user preferences and location data, and inserts appropriate audible messages at relevant locations. This intermediary approach allows the system to achieve high adaptability and user engagement without requiring fundamental changes to the core audio playback system, thus managing complexity through a dedicated service layer.
2Loss of information
If audio messages are inserted at keyword locations in audio tracks, then information delivery relevance is improved, but audio content integrity may be compromised
Solution Approach 1:
The patent applies local quality by inserting audible messages at specific local positions within the audio track where keyword matches occur, rather than altering the entire audio content uniformly. The system analyzes the audio track for specific keywords and places messages only at those relevant locations, leaving the rest of the audio content unchanged. This localized approach maintains overall audio content integrity while delivering targeted information where it is most relevant.
Solution Approach 2:
The system performs preliminary analysis of the audio track to identify keyword locations before inserting any audible messages. By pre-analyzing the audio content for keywords and mapping their positions, the system can plan message insertion points in advance, ensuring that messages are placed at optimal locations without disrupting the natural flow or integrity of the original audio content.
3Measurement precision
If real-time audio analysis is performed to identify keywords, then message timing accuracy is improved, but processing time increases
Solution Approach 1:
The patent implements preliminary action by analyzing the audio track for keywords before the actual message insertion and playback. The system pre-processes the audio content to identify all keyword locations and their timestamps, storing this information in advance. When it's time to deliver messages, the system can quickly reference the pre-identified keyword positions rather than performing real-time analysis, significantly reducing processing time while maintaining timing accuracy.
Solution Approach 2:
The system segments the audio track analysis into discrete keyword detection tasks, identifying and isolating specific keyword instances within the audio content. By breaking down the complex task of real-time audio analysis into segmented keyword detection operations, the system can process audio more efficiently and reduce overall processing time while maintaining precise timing for message insertion at each keyword location.
Data Source
AI summary
Methods, systems, and computer program products for providing audible proximity messaging are disclosed. A computer-implemented method may include receiving a message for communication to one or more users, receiving a keyword associated with a message, analyzing an audio track to determine whether the keyword exists in the audio track, matching the keyword to the audio track, identifying one or more locations of the keyword in the audio track, converting the message to an audible format, determine whether to provide the message to a user based on one or more conditions associated with the user, and providing the message to a user when the keyword is played during the audio track. In some examples, the message may be an audio message played when the keyword plays in the audio track based on one or more of a user preference, a user location, a current user activity, and/or other factors.