Digital Audio Format Identification Without Headers
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Solution Overview
Problem
Current methods fail to accurately identify digital audio formats, especially headerless formats, which can lead to difficulties in deciphering and processing audio files due to ambiguous file extensions and inaccurate header information.
Innovation Solution
A method that converts digital audio files into a user-definable format, divides them into blocks, determines unique integer frequencies, and calculates statistical parameters to identify the most likely format and bit ordering, eliminating the need for header information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If header information or file extensions are used to identify digital audio format, then the identification process is simple, but the accuracy is poor due to ambiguous extensions and inaccurate headers
Solution Approach 1:
The patent applies self-service by enabling the digital audio file itself to identify its format through inherent characteristics in the audio data. Instead of relying on external metadata (headers/extensions) that may be inaccurate, the system analyzes the file's own content properties such as sampling rate, bit depth, and encoding patterns to self-determine its format, ensuring both accuracy and operational simplicity
Solution Approach 2:
The patent replaces the mechanical system of reading headers and checking extensions with an analytical system that examines the actual audio data characteristics. By substituting metadata-based identification with content-based analysis (sampling rates, bit depths, encoding schemes), the system achieves higher accuracy while maintaining ease of operation through automated statistical analysis
2Measurement precision
If statistical analysis of audio data is performed to identify format, then accuracy improves, but processing complexity increases
Solution Approach 1:
The patent applies segmentation by dividing the audio file into manageable blocks and analyzing specific parameters (sampling rate, bit depth, encoding) separately. This breakdown of the complex analysis into discrete, independent statistical measurements reduces processing complexity while maintaining high accuracy through systematic evaluation of each audio characteristic
Solution Approach 2:
The patent uses parameter changes by examining variations in audio data characteristics (sampling rates, bit depths, encoding schemes) to identify format. By monitoring how these parameters manifest in the audio stream and comparing them against known format specifications, the system achieves accurate identification through relatively simple parameter matching rather than complex algorithmic analysis
Data Source
AI summary
A method of identifying file format, converting file from assumed format and bit ordering to user-definable format, dividing file into blocks, determining frequencies of occurrence in blocks, creating first set of frequencies of occurrence less than and equal to most frequently occurring integer, creating second set of frequencies of occurrence greater than the most frequently occurring integer, creating third set of differences in first sets, creating fourth set of differences in second sets, replacing third and fourth sets with polarity indicators, summing polarity indicators, determining sum percentages, pairing percentages, determining pairing maximum number, determining statistics, determining maximum of statistics, assigning result to converted file, selecting another format and bit ordering and returning to third step, identifying converted file with maximum statistic, and determining format and bit ordering of file to be that of assumed format associated with converted file identified in last step.