Multi-Microphone Sound Processing for Spectrum Reversal Suppression

Resolve Bottlenecks,
Find Innovative Solutions
Generate Solutions

Solution Overview

Problem

Existing sound processing technologies face challenges in accurately analyzing sounds when the surrounding environment changes, leading to reduced separation accuracy of target and non-target sounds due to reversed frequency spectrums and varying signal levels.

Innovation Solution

A sound processing device that performs frequency analysis on signals from multiple input devices, calculates transfer characteristics, and adjusts suppression levels based on intensity differences to accurately determine sound input states and suppress non-target sounds, thereby enhancing sound analysis accuracy.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If binary masking is used to remove non-target sounds, then sound analysis can be performed, but separation accuracy decreases when surrounding environment changes causing frequency spectrum reversal

Engineering Contradiction:
Improvesound analysis accuracyVSAvoidseparation accuracy
Core Design Contradiction:
Measurement precisionVSReliability

Solution Approach 1:

The patent calculates transfer characteristics in advance by comparing frequency spectrums from multiple input devices during a calibration phase. These pre-calculated transfer characteristics are stored and later used to determine suppression levels, allowing the system to adapt to environmental changes without requiring real-time recalibration, thus maintaining separation accuracy when frequency spectrum reversal occurs

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The patent employs a feedback mechanism where the frequency spectrums from multiple input devices are continuously compared, and suppression levels are dynamically adjusted based on the calculated transfer characteristics. This feedback loop enables the system to automatically compensate for environmental changes and maintain accurate sound separation despite frequency spectrum variations

Inventive Principle:
Principle #23Feedback

2Measurement precision

If frequency analysis is performed on multiple input devices to identify target and non-target sounds, then sound separation can be achieved, but the complexity of determining sound input states increases in changing environments

Engineering Contradiction:
Improvesound separation accuracyVSAvoidprocessing complexity
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The patent transforms the complex problem of sound separation into a parameter-based solution by calculating transfer characteristics that represent the relationship between frequency spectrums of multiple input devices. By using these transfer characteristics to determine suppression levels, the system simplifies the processing complexity while maintaining accurate sound separation through parameter-driven control

Inventive Principle:
Principle #35Parameter changes

Data Source

PatentUS10276182B2Sound processing device and non-transitory computer-readable storage medium
Publication Date: 2019.04.30 FUJITSU LTD
  • US10276182B2 patent drawing
  • US10276182B2 patent drawing
  • US10276182B2 patent drawing

AI summary

A sound processing device includes a processor configured to generate a first frequency spectrum of a first sound signal corresponding to a first sound received at a first input device and a second frequency spectrum of a second sound signal corresponding to the first sound received at a second input device, calculate a transfer characteristic based on a first difference between an intensity of the first frequency spectrum and an intensity of the second frequency spectrum, generate a third frequency spectrum of a third sound signal transmitted from the first input device and a fourth frequency spectrum of a fourth sound signal transmitted from the second input device, specify a suppression level of an intensity of the fourth frequency spectrum based on a second difference between an intensity of the third frequency spectrum and an intensity of the fourth frequency spectrum.