Audio Track Editing via Inverse Effect Application
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Solution Overview
Problem
In digital audio editing, it is challenging to enhance specific audio tracks while minimizing interference from competing tracks that share similar frequency ranges, leading to masked audio data.
Innovation Solution
A method that involves selecting specific audio tracks for editing and applying an inverse audio effect to non-selected tracks, which includes amplitude or spectral print adjustments to emphasize the selected track by attenuating corresponding frequencies in other tracks.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Illumination intensity
If amplitude increase is applied to a selected audio track to enhance it, then the selected track becomes more prominent, but the overall audio balance deteriorates and other tracks become overly suppressed
Solution Approach 1:
The patent applies different amplitude adjustments to different tracks based on their frequency content. Instead of uniformly increasing the amplitude of the selected track across all frequencies, the system selectively boosts only the frequency ranges where the selected track has significant energy, while applying minimal or no suppression to other tracks in non-overlapping frequency ranges. This localized approach maintains natural audio balance while achieving prominence for the selected track.
Solution Approach 2:
The patent inverts the traditional approach by not directly boosting the selected track's amplitude, but rather by selectively suppressing only the specific frequency ranges in other tracks that compete with the selected track. This inverse approach achieves the same effect of making the selected track more prominent while avoiding the harmful side effect of overall audio balance deterioration.
2Illumination intensity
If amplitude increase is applied to a selected audio track, then the selected track stands out more, but distortion and loss of audio quality occur
Solution Approach 1:
The patent applies amplitude boosting only to specific frequency ranges where the selected track has significant content, rather than uniformly across the entire frequency spectrum. This selective local enhancement avoids introducing distortion in frequency ranges where the selected track does not have significant energy, thereby maintaining audio quality while achieving the desired prominence.
Solution Approach 2:
The patent applies partial action by boosting only the necessary frequency ranges to achieve prominence, rather than applying excessive amplitude increase across all frequencies. This partial approach achieves the minimum necessary enhancement to make the selected track stand out while avoiding the harmful effects of excessive amplitude boosting that cause distortion.
3Illumination intensity
If amplitude increase is applied to a selected audio track, then the track becomes more prominent, but the complexity of the editing process increases
Solution Approach 1:
The patent implements self-service by automatically analyzing the frequency content of the selected track and autonomously determining which frequency ranges require boosting and which other tracks require suppression. The system performs these complex analytical and adjustment operations without requiring manual intervention from the user, thereby achieving prominent enhancement of the selected track while keeping the editing process simple and automated.
Solution Approach 2:
The patent automatically changes multiple audio parameters (amplitude, frequency ranges, suppression levels) based on the spectral analysis of the selected track. This automated parameter adjustment eliminates the need for manual tuning of multiple parameters by the user, reducing editing complexity while achieving optimal prominence for the selected track.
4Illumination intensity
If amplitude increase is applied to a selected audio track, then the track becomes more prominent, but more time is required to achieve satisfactory results
Solution Approach 1:
The patent performs preliminary spectral analysis of the selected track before applying any amplitude adjustments. By pre-identifying the frequency ranges where the selected track has significant energy and pre-determining which other tracks need suppression in those ranges, the system eliminates the need for iterative manual adjustments and listening tests, thereby achieving prominent enhancement quickly and efficiently.
Solution Approach 2:
The patent uses spectral analysis feedback to automatically determine the appropriate amplitude adjustments and suppression levels. The system continuously monitors the frequency content and adjusts parameters based on this feedback, eliminating the need for manual trial-and-error adjustments and reducing the time required to achieve satisfactory results.
Data Source
AI summary
Systems, methods, and computer program products for editing digital audio data are provided. In some implementations a method is provided. The method includes receiving digital audio data incorporated in a plurality of audio tracks and receiving a selection of one or more audio tracks of the plurality of audio tracks for editing, the selected audio tracks being fewer than all of the plurality of audio tracks. The method also includes receiving an input specifying an audio effect to apply to the selected audio tracks and applying an inverse of the audio effect to one or more non-selected audio tracks in response to the input.