Personalized Audio Processing Using Earprints to Deter Piracy
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Solution Overview
Problem
The music industry faces significant economic losses due to illegal file-sharing and piracy, as existing Digital Rights Management (DRM) strategies are often circumvented by hackers, leading to a decline in music sales and reduced promotional capital for new artists.
Innovation Solution
The development of Personalized Audio Content (PAC) and Virtual Audio Content (VAC) using Earprints and Environprints, which modify audio content based on individual listener characteristics, such as Head Related Transfer Functions (HRTF) and Timbre preferences, to create unique listening experiences, thereby reducing the appeal of shared content and enhancing user-specific value.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If Digital Rights Management (DRM) encryption and decryption processes are implemented to protect audio content, then copyright protection and access control are improved, but device complexity and vulnerability to hacking increase
Solution Approach 1:
The patent transforms the protection mechanism from cryptographic parameters (encryption/decryption) to psychoacoustic parameters (personalized audio processing). By changing the protective parameter from security algorithms to unique sensory characteristics, the system achieves protection without cryptographic complexity.
Solution Approach 2:
The patent replaces the mechanical/cryptographic DRM system with a psychoacoustic system based on human perception. Instead of using encryption mechanics, it uses personalized audio processing that exploits the uniqueness of individual hearing characteristics, substituting one system type for another fundamentally different approach.
2Ease of operation
If standardized audio content is distributed to maximize accessibility and sharing, then ease of operation and distribution are improved, but piracy and unauthorized sharing increase
Solution Approach 1:
The patent applies local quality by making each audio file locally optimized for a specific user's hearing characteristics. Instead of uniform standardized content, each user receives audio processed with their unique Earprint, creating local customization that reduces sharing incentive while maintaining distribution capability.
Solution Approach 2:
The patent segments the audio content experience into personalized portions for each user. By dividing the standardized content into user-specific variations through personalized processing, the system maintains distribution efficiency while creating unique experiences that reduce piracy motivation.
3Reliability
If audio content is personalized for each user to reduce sharing incentive, then piracy protection is improved, but processing time and computational resources increase
Solution Approach 1:
The patent applies preliminary action by pre-processing audio content with the user's Earprint characteristics before distribution. Instead of processing in real-time during playback, the personalization is performed in advance, allowing the personalized audio to be stored and played back without additional processing time.
Solution Approach 2:
The patent uses copying by creating a personalized version of the audio content that is then distributed as a separate file. The processing is performed once to create the personalized copy, which can then be distributed and played back without requiring repeated processing, thus reducing time loss.
Data Source
AI summary
At least one exemplary embodiment is directed to a method of generating a Personalized Audio Content (PAC) comprising: selecting Audio Content (AC) to personalize; selecting an Earprint; and generating a PAC using the Earprint to modify the AC.