Image Mask Audio Editing Precision
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Solution Overview
Problem
Current methods for editing digital audio data lack precision and flexibility in applying editing effects, particularly in utilizing visual representations like frequency spectrograms, where noise removal and audio processing operations are not finely tunable.
Innovation Solution
A computer-implemented method that uses an image as a mask or filter to apply variable editing effects to audio data by positioning the image over a visual representation of the audio data, isolating the affected region, and applying editing effects based on image color values, allowing for precise attenuation or generation of new audio effects.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional audio editing methods are used, then audio processing operations can be applied, but the precision and flexibility in applying editing effects are insufficient
Solution Approach 1:
The patent applies local quality by using an image mask where different regions (different colors) correspond to different editing effect magnitudes. The image is divided into color-coded zones where each color represents a specific attenuation level, allowing precise local control of editing effects on audio data without affecting other regions. This resolves the contradiction by enabling both high precision (through color-specific control) and flexibility (through customizable image masks).
Solution Approach 2:
The patent changes the parameter representation by mapping image color values to editing effect magnitudes. Instead of using traditional audio editing parameters, the system uses color intensity and hue from an image to dynamically control the strength and type of audio processing. This allows users to visually design editing patterns and apply them precisely to audio data, achieving both precision and adaptability simultaneously.
2Measurement precision
If an image mask is used to apply variable editing effects, then audio editing precision is improved, but the device complexity increases
Solution Approach 1:
The patent introduces an image mask as an intermediary between the user and the audio editing process. Instead of directly manipulating complex audio parameters, users create or select simple image masks where colors represent editing intentions. The system then automatically translates these visual representations into precise audio processing operations. This intermediary approach simplifies the user interface while maintaining high editing precision, resolving the complexity contradiction.
Solution Approach 2:
The patent replaces traditional mechanical audio editing interfaces (sliders, knobs, parameter fields) with a visual image-based system. Users interact with audio editing through graphical image manipulation rather than direct audio parameter adjustment. This substitution of the editing mechanism with a visual metaphor reduces perceived complexity while preserving or enhancing editing precision through the color-mapped control system.
Data Source
AI summary
This specification describes technologies relating to editing digital audio data. In some implementations, a computer-implemented method is provided. The method includes displaying a visual representation of audio data, receiving an image, positioning the image as overlapping a portion of the displayed visual representation of the audio data, and editing the audio data corresponding to the portion of the displayed visual representation of the audio data overlapped by the image to form edited audio data, the editing including applying a variable editing effect according to the image content. In other implementations a computer-implemented method is provided that includes receiving an image, converting the image into a display of a visual representation of audio data using a specified conversion mode, and storing audio data corresponding to the display of audio data.


