Audio Parameter Recall Using Operated-Parameter Selection
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Solution Overview
Problem
Existing audio signal processing systems require separate operations for changing parameters and selecting parameters to be recalled, which is inefficient and cumbersome.
Innovation Solution
A signal processing method that integrates parameter change and selection operations, allowing for the storage and recall of selected parameters in a unified process using a signal processing device with a parameter selection unit, storage processing unit, and deployment processing unit to manage scene data and deploy selected parameters to signal processing blocks.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If separate operations are used for changing parameters and selecting parameters to be recalled, then parameter storage and recall functionality is achieved, but operational complexity and user convenience deteriorate
Solution Approach 1:
The patent combines the parameter change operation and parameter selection operation into a single unified operation. When a user operates a parameter (e.g., adjusts an equalizer setting), the system automatically selects that parameter for recall storage, eliminating the need for separate selection operations. This merging of operations directly improves ease of operation while maintaining the necessary functionality.
Solution Approach 2:
The system performs automatic parameter selection based on the parameter change operation itself. The parameter selection unit automatically identifies which parameter was just changed and marks it for recall, without requiring the user to manually specify selection. This self-service mechanism reduces operational complexity by having the system handle the selection logic autonomously.
2Productivity
If all parameter setting data is stored and recalled, then complete scene data preservation is achieved, but data management complexity and recall efficiency deteriorate
Solution Approach 1:
The patent extracts only the necessary parameter information for recall from the complete scene data. Instead of storing and recalling all parameter settings, the system stores only the parameters that were actually changed during the current operation session. This extraction approach reduces the quantity of data to be managed while maintaining recall efficiency for the relevant parameters.
Solution Approach 2:
The patent segments the parameter data into different categories based on operation type and parameter importance. The parameter selection unit divides and manages parameters according to which ones were modified during the current session, allowing selective recall of only relevant segments of data rather than treating all parameters uniformly. This segmentation improves recall efficiency by focusing on the most relevant data.
Data Source
AI summary
A signal processing method includes inputting a sound signal to each of a plurality of signal processing blocks of different types, signal-processing the sound signal input to each of the plurality of signal processing blocks based on setting data that indicate one or a plurality of parameters, selecting an operated parameter operated by a parameter operation in response to receiving the parameter operation for the one or the plurality of parameters, storing the setting data that indicate the one or the plurality of parameters that include the operated parameter, and reading out, from among the stored setting data, only the operated parameter that is selected, and deploying the operated parameter that is read out to at least one of the plurality of signal processing blocks, in response to receiving a recall operation for reading out the stored setting data.