Audio Filter Parameter Selection for Preserving Auditory Sensation
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Solution Overview
Problem
Users of audio mixers face a significant burden in selecting filter parameters, particularly for multiple channels, which affects auditory sensation and requires considerable time and effort.
Innovation Solution
An automated parameter selection method and apparatus that calculates acoustic feature quantities for input and output sound signals, determining filter parameters to minimize the difference in auditory sensation, thereby reducing user burden by optimizing parameters such as cut-off frequencies for high-pass filters.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If users manually select filter parameters for multiple channels, then the auditory sensation can be optimized, but the time and effort required increases significantly
Solution Approach 1:
The system performs automatic parameter selection by calculating acoustic feature quantities of input signals and autonomously determining optimal filter parameters, eliminating the need for manual user adjustment while maintaining auditory quality
Solution Approach 2:
The system changes filter parameters (cut-off frequencies, slopes) based on calculated acoustic feature quantities of the input signal, automatically adapting parameters to match the signal characteristics and preserve auditory sensation
2Ease of operation
If users manually adjust filter parameters for each channel, then precise control over auditory sensation is achieved, but the operational complexity increases
Solution Approach 1:
The parameter selection apparatus automatically calculates acoustic feature quantities and determines optimal filter parameters without requiring user intervention, simplifying operation while managing complexity through automation
Solution Approach 2:
The system replaces manual mechanical adjustment of parameters with automated computational processes that calculate acoustic features and determine parameters algorithmically
3Ease of operation
If filter parameters are automatically selected without considering auditory sensation, then the operation is simplified, but the auditory quality deteriorates
Solution Approach 1:
The system automatically adjusts filter parameters based on calculated acoustic feature quantities, changing parameters dynamically to preserve auditory sensation characteristics while maintaining automation
Solution Approach 2:
The system uses acoustic feature quantities as feedback to automatically determine optimal filter parameters, ensuring that parameter selection maintains auditory quality through continuous reference to signal characteristics
Data Source
AI summary
A parameter selection method includes selecting parameters of a filter configured to take a first sound signal having a frequency characteristic to output a second sound signal having a transformed version of the frequency characteristic. The selecting includes calculating first acoustic feature quantities for the first sound signal, calculating second acoustic feature quantities for the second sound signal, and determining the parameters of the filter such that a difference in a given acoustic feature quantity related to an auditory sensation between the first acoustic feature quantities and the second acoustic feature quantities is no more than a predetermined value.


