Audio Filter Parameter Selection for Preserving Auditory Sensation

Resolve Bottlenecks,
Find Innovative Solutions
Generate Solutions

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

VSEngineering 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

Engineering Contradiction:
Improveauditory sensation qualityVSAvoidparameter selection time
Core Design Contradiction:
ReliabilityVSLoss of time

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

Inventive Principle:
Principle #25Self-service

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

Inventive Principle:
Principle #35Parameter changes

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

Engineering Contradiction:
Improveparameter adjustment simplicityVSAvoidparameter selection process
Core Design Contradiction:
Ease of operationVSDevice complexity

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

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

The system replaces manual mechanical adjustment of parameters with automated computational processes that calculate acoustic features and determine parameters algorithmically

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

3Ease of operation

If filter parameters are automatically selected without considering auditory sensation, then the operation is simplified, but the auditory quality deteriorates

Engineering Contradiction:
Improveautomated parameter selectionVSAvoidauditory sensation quality
Core Design Contradiction:
Ease of operationVSReliability

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

Inventive Principle:
Principle #35Parameter changes

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

Inventive Principle:
Principle #23Feedback

Data Source

PatentUS20260064362A1Parameter Selection Method, Parameter Selection Apparatus, and Non-Transitory Computer-Readable Storage Medium
Publication Date: 2026.03.05 YAMAHA CORP
  • US20260064362A1 patent drawing
  • US20260064362A1 patent drawing
  • US20260064362A1 patent drawing

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.