Audio Synchronization via Harmonic Frequency Analysis
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Solution Overview
Problem
Existing methods fail to effectively synchronize multiple audio tracks captured during the same live event, as they lack a reliable mechanism to align audio signals based on harmonics, leading to desynchronization issues.
Innovation Solution
A system that utilizes harmonics of the harmonic sound by transforming audio tracks into frequency space, comparing pitch and harmonic energy across temporal windows, and calculating temporal offsets to synchronize audio tracks, employing components like audio track, temporal window, transformation, pitch, harmonics, comparison, temporal alignment, and synchronizing components.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional synchronization methods are used, then the process is simple, but the synchronization accuracy deteriorates
Solution Approach 1:
The patent transforms audio signals from the time domain to the frequency domain using Fourier transform, enabling harmonic analysis in a different dimensional space. This allows extraction of pitch and harmonic energy features that are not apparent in the original time-domain signals, thereby improving synchronization accuracy without proportionally increasing system complexity
Solution Approach 2:
The patent replaces traditional mechanical or manual synchronization methods with an automated digital signal processing system. The system uses computer-implemented algorithms to automatically detect harmonics, calculate temporal offsets, and synchronize audio tracks, substituting complex manual adjustment processes with automated computational methods
2Measurement precision
If harmonic analysis is performed on entire audio tracks, then synchronization accuracy improves, but processing time increases
Solution Approach 1:
The patent divides the audio track into multiple overlapping segments or windows, applying harmonic analysis to each segment independently. This segmentation allows the system to process audio tracks in manageable portions, reducing the computational burden on any single processing operation while maintaining overall synchronization accuracy through the cumulative results of multiple segment analyses
Solution Approach 2:
The patent applies harmonic analysis to specific frequency ranges and time segments rather than analyzing the entire frequency spectrum and full audio duration uniformly. By focusing computational resources on relevant portions of the audio signal where harmonic content is most informative for synchronization, the system achieves accurate temporal offset detection without the excessive processing time that would result from analyzing all audio data at maximum resolution
Data Source
AI summary
Multiple audio files may be synchronized using harmonic sound included in audio content obtained from audio tracks. Individual audio tracks are partitioned into multiple temporal windows of a first and second temporal window length. Individual audio waveforms for individual temporal windows of the first and second window length are transformed into frequency space in which energy is represented as a function of frequency. Individual pitches and magnitudes of harmonic sound determined for individual temporal windows may be compared using a multi-resolution framework to correlate pitches and harmonic energy of multiple audio tracks to one another.