Duplicate Audio Content Detection Using Cryptographic Hash Signatures
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Solution Overview
Problem
Electronic devices face memory optimization challenges due to redundant duplicate audio content from various sources, which are not effectively detected and removed, leading to inefficient storage management.
Innovation Solution
A method and apparatus that detect duplicate audio content by decoding byte streams, extracting feature information, generating a densest group array, creating unique signatures, and comparing these signatures to identify and remove duplicates, optimizing memory storage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If duplicate audio content is stored from different sources, then content variety is improved, but memory storage efficiency deteriorates
Solution Approach 1:
The patent uses cryptographic hashing to create digital fingerprints (copies) of audio content metadata rather than storing the actual audio files. This allows the system to track and identify duplicate content through signature matching while occupying minimal storage space, thus maintaining content variety without proportionally increasing storage requirements
Solution Approach 2:
The system transforms audio content into a different parameter representation by extracting metadata (duration, bitrate, sample rate, channels) and generating cryptographic hashes. This parameter transformation enables efficient duplicate detection through signature comparison rather than direct audio file comparison, optimizing storage efficiency while preserving content identification capability
2Quantity of substance
If a mechanism to detect and remove duplicate audio content is implemented, then memory storage efficiency is improved, but device complexity increases
Solution Approach 1:
The patent extracts only the essential metadata parameters (duration, bitrate, sample rate, channels) from complete audio files to create signatures for duplicate detection. By taking out only the necessary identifying features rather than processing entire audio files, the system reduces computational complexity while maintaining effective duplicate detection capability
Solution Approach 2:
The system replaces complex audio file comparison mechanisms with cryptographic hash-based signature matching. Instead of mechanically comparing audio waveforms or large file contents, the patent uses mathematical hash functions to generate unique signatures, substituting a complex mechanical comparison process with a simpler mathematical operation that is computationally more efficient
3Device complexity
If duplicate audio content is not detected, then device simplicity is maintained, but redundant data accumulates
Solution Approach 1:
The patent performs preliminary duplicate detection by generating and comparing signatures before audio files are fully stored or indexed. This preliminary action using cryptographic hashes identifies potential duplicates early in the ingestion process, preventing redundant data accumulation before it occurs rather than requiring complex post-storage analysis
Data Source
AI summary
Provided is a method for detecting duplicate audio content in an electronic device. The method includes receiving, by the electronic device, a plurality of audio content, decoding, by the electronic device, each of the audio content to extract a plurality of byte streams of each of the audio content and audio feature information, generating, by the electronic device, a unique signature for each of the audio content based on the plurality of byte streams of each of the audio content, and storing, by the electronic device, the unique signature of each of the audio content in the electronic device to identify duplicate audio content.