Cross-Platform Music Track Detection via Audio Fingerprinting
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Solution Overview
Problem
On-demand music streaming services struggle to recommend songs that users have already listened to on other platforms, as their data collection is typically limited to their own music applications.
Innovation Solution
An electronic device detects playback of a musical track from a first music listening service and identifies a list of tracks from a second, different music listening service by accessing user data. It determines if the musical track is a missing list item and generates a notification with information about the track and a prompt to add it to a playlist or music library.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If the music streaming service collects user data only from its own application, then the data processing complexity is reduced, but the ability to recommend songs from other platforms is lost
Solution Approach 1:
The patent uses audio fingerprinting technology as an intermediary to bridge different music platforms. The system extracts unique audio signatures from played tracks and uses these as mediators to identify and match songs across multiple services without requiring direct integration with each platform's data system
Solution Approach 2:
The patent replaces complex mechanical data integration systems with acoustic field-based audio fingerprinting. Instead of establishing direct data connections with multiple music services, the system uses acoustic signatures to identify and match tracks, substituting a simpler physics-based approach for complex system integration
2Productivity
If the system monitors playback across multiple music services, then the music discovery capability is improved, but the data collection complexity increases
Solution Approach 1:
The system employs automatic audio fingerprint extraction and tracking that operates autonomously without requiring manual user input or complex configuration. The audio processing system automatically identifies tracks, extracts signatures, and performs matching across services, making the multi-platform monitoring self-serve and reducing operational complexity
Solution Approach 2:
The patent transforms the problem of tracking multiple data sources into tracking acoustic parameters. By changing from monitoring service-specific metadata to monitoring universal audio fingerprint parameters, the system simplifies cross-platform data collection while maintaining comprehensive music discovery capability
3Ease of operation
If the system provides detailed notifications about missing tracks, then the user experience is improved, but the information processing load increases
Solution Approach 1:
The system extracts only the essential information needed for effective notifications - the missing track identification and addition prompt - separating this critical information from the full dataset. This extraction approach maintains user experience by providing relevant notifications while reducing the information processing load by focusing only on essential data
Data Source
AI summary
An electronic device and method for recommending new musical tracks for playlists. The electronic device detects a playback of a musical track associated with a first music listening service and identifies a list of tracks by accessing user data associated with a second music listening service that is different from the first music listening service. The list of tracks includes at least one of a set of playlists or a music library of favorite tracks. The electronic device determines the musical track as a missing list item in content of the list of tracks and generates a notification that includes information associated with the musical track and a prompt to add the musical track as a list item of the list of tracks. The notification is generated based on a determination that the musical track is the missing list item. A display is thereafter controlled to render the generated notification.