Selective Noise Cancellation Headphones Using Phase-Shifted Signal Processing
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Solution Overview
Problem
Existing noise-cancelling technologies fail to selectively reduce ambient noise while allowing important sounds to pass through, leading to discomfort and safety issues for workers and passengers in noisy environments.
Innovation Solution
A novel noise-cancelling system that classifies incoming signals using predetermined models, identifies unwanted noise classes, and generates phase-shifted signals to cancel selected noise while allowing other sounds to remain unattenuated.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Object-affected harmful factors
If standard ear-protection devices are worn to block ambient noise, then noise protection is improved, but all sounds including important sounds are muffled
Solution Approach 1:
The patent applies local quality by treating different frequency ranges and sound types differently. The system analyzes incoming audio signals and applies noise cancellation selectively to identified noise frequencies while preserving other frequencies. This allows the headphones to provide noise protection for harmful sounds while maintaining audibility of important sounds through differential frequency processing.
Solution Approach 2:
The system dynamically changes audio parameters by adjusting the attenuation level for different frequency bands in real-time. Based on environmental noise analysis, the system modifies gain parameters selectively - applying stronger attenuation to noise frequencies and minimal or no attenuation to important sound frequencies, thereby resolving the contradiction between noise blocking and sound preservation.
2Loss of information
If users raise the volume to overcome environmental noise, then sound clarity is improved, but hearing damage risk increases
Solution Approach 1:
The patent converts the harmful effect of environmental noise into a beneficial selective filtering mechanism. By analyzing the noise spectrum and identifying noise patterns, the system generates anti-phase signals that cancel noise frequencies while preserving important sounds. This allows users to maintain lower volume levels while achieving clear sound transmission, thereby reducing hearing damage risk while preserving sound clarity.
3Loss of information
If standard earphones are used in noisy environments, then sound transmission is achieved, but user comfort and safety are compromised
Solution Approach 1:
The system dynamically adapts to changing environmental conditions by continuously analyzing incoming audio signals and adjusting noise cancellation parameters in real-time. The noise profile detection and classification systems update filtering parameters dynamically, allowing the headphones to maintain optimal performance across varying noise environments while preserving user comfort and safety through adaptive sound management.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
The system effectively reduces ambient noise while preserving important sounds, enhancing user comfort and safety by allowing users to customize noise reduction based on their needs.
Implementation Method 1
multiplying a 180° phase-shifted version of a frequency signal associated with the identified noise class by the associated frequency spectrum of the plurality of spectra
Data Source
AI summary
A method of reducing signals associated with one or more classes of unwanted noise is disclosed which includes choosing one or more classes as noise to be cancelled while allowing the remainder of classes amongst a plurality of classes to pass through, dividing an incoming time-varying signal into a plurality of snippets having a single or a plurality of durations, transforming each snippet into an associated frequency spectrum, thus generating a plurality of spectra, for each spectrum of the plurality of spectra, identifying presence of the one or more classes chosen as noise, for each identified class of noise, multiplying a 180° phase-shifted version of a frequency signal associated with the identified class of noise by a frequency spectrum of the incoming signal, thereby generating an associated frequency-domain noise-cancelled spectrum, inverse transforming the frequency-domain noise-cancelled spectrum into a time-varying noise-cancelled signal, and outputting the time-varying noise-cancelled signal.


