Audio Duplicate Detector Using Fingerprint Extraction
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Solution Overview
Problem
Managing large audio collections is challenging due to the difficulty in quickly parsing audio files, leading to inefficient identification and removal of duplicate or corrupted files, which is time-consuming and often inaccurate with existing methods.
Innovation Solution
A system and method that employs audio fingerprinting to automatically detect and manage duplicate or corrupted audio files by computing fingerprints from specific sections of audio files and using a user interface to configure parameters for detection and removal, utilizing a database to identify and tag duplicate or corrupted files for potential removal.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If users manually parse and identify duplicate audio files in large collections, then they can detect duplicates, but the process becomes extremely time-consuming and inefficient
Solution Approach 1:
The patent extracts a distinctive fingerprint from each audio file that can be used to identify duplicates. Instead of manually comparing entire audio files, the system extracts and compares only the fingerprint portions, dramatically reducing the time required for duplicate detection while maintaining accuracy.
Solution Approach 2:
The patent creates a simplified copy or representation of the audio file in the form of a fingerprint. This fingerprint serves as a surrogate that can be quickly compared against other fingerprints to identify duplicates, avoiding the need to manually parse and compare full audio files.
2Ease of operation
If users rely on labeling to identify duplicate audio files, then the process is simpler, but the labeling is often inaccurate
Solution Approach 1:
The patent replaces the manual mechanical process of labeling with an automated fingerprint-based detection system. The system automatically extracts fingerprints and compares them to identify duplicates, eliminating the need for manual labeling while providing more accurate results.
3Reliability
If the system processes entire audio files to identify duplicates, then detection is thorough, but parsing large audio files is difficult and time-consuming
Solution Approach 1:
The patent extracts only the essential fingerprint portion from each audio file for comparison purposes. This extraction allows the system to maintain thorough duplicate detection while dramatically improving processing speed by avoiding the need to analyze entire audio files.
Solution Approach 2:
The patent segments the audio file processing into two stages: fingerprint extraction and fingerprint comparison. This segmentation allows the system to focus computational resources only on the critical identification portion rather than processing entire files, thereby improving productivity while maintaining reliability.
Data Source
AI summary
The present invention relates to a system and methodology to facilitate automatic management and pruning of audio files residing in a database. Audio fingerprinting is a powerful tool for identifying streaming or file-based audio, using a database of fingerprints. Duplicate detection identifies duplicate audio clips in a set, even if the clips differ in compression quality or duration. The present invention can be provided as a self-contained application that it does not require an external database of fingerprints. Also, a user interface provides various options for managing and pruning the audio files.