Adaptive Headset Noise Cancellation for Ear Canal Fit
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Solution Overview
Problem
Existing noise cancellation headsets face challenges in adapting to variable and irregular ambient noise, and varying degrees of noise leakage due to differences in ear canal sizes and shapes among users, leading to inconsistent noise cancellation effects.
Innovation Solution
A noise cancellation apparatus and method that dynamically adjusts noise cancellation parameters based on the matching degree between the headset and the user's ear canal, using a noise cancellation parameter library and adaptive noise cancellation levels to enhance noise cancellation effectiveness.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If uniform noise cancellation parameters are configured for all users, then device complexity is reduced, but noise cancellation effectiveness deteriorates due to varying ear canal sizes and shapes
Solution Approach 1:
The patent applies parameter changes by storing multiple groups of noise cancellation parameters in a parameter library, where each group corresponds to different ear canal matching degrees. The system dynamically selects and adjusts parameters based on the detected matching degree, transforming a static uniform parameter configuration into a dynamic adaptive parameter selection mechanism that resolves the contradiction between device simplicity and effectiveness.
Solution Approach 2:
The patent implements dynamics by introducing a adaptive parameter selection mechanism that changes noise cancellation parameters in real-time based on the detected ear canal matching degree. Instead of using fixed uniform parameters, the system dynamically adjusts the parameter group selection and mixing ratios according to individual user characteristics, enabling the device to adapt to varying conditions while maintaining operational simplicity.
2Reliability
If noise cancellation parameters are customized for each user's ear canal fit, then noise cancellation effectiveness is improved, but device complexity increases due to parameter management
Solution Approach 1:
The patent applies preliminary action by pre-storing multiple groups of noise cancellation parameters in a parameter library before actual use. Each parameter group is pre-configured to correspond to different ear canal matching degrees. This preliminary preparation eliminates the need for complex real-time parameter calculation and management, reducing device complexity while maintaining customized effectiveness through pre-computed optimal parameters.
Solution Approach 2:
The patent uses parameter changes by organizing parameters into discrete groups stored in a library, where each group represents a specific matching degree scenario. The system selects and mixes these pre-defined parameter groups based on detected characteristics, avoiding the complexity of generating custom parameters from scratch while still achieving personalized noise cancellation effectiveness.
3Ease of operation
If noise cancellation level is fixed, then device operation is simplified, but adaptability to different noise environments and users deteriorates
Solution Approach 1:
The patent applies self-service by enabling the noise cancellation system to automatically detect ear canal matching degree and select appropriate parameter groups without user intervention. The system autonomously adapts to different users and noise environments by self-adjusting the parameter selection and mixing ratios, maintaining ease of operation while achieving high adaptability through automatic environmental and user-specific optimization.
Solution Approach 2:
The patent implements dynamics by transforming the fixed noise cancellation level into a dynamic adaptive system. The system continuously monitors matching degree and automatically adjusts parameter selection based on real-time conditions, enabling the device to adapt to varying noise environments and user characteristics while requiring minimal user input, thus resolving the contradiction between operational simplicity and environmental adaptability.
4Adaptability or versatility
If ambient noise is variable and irregular, then real-world applicability is improved, but noise cancellation performance deteriorates due to difficulty in generating accurate inverse phase noise
Solution Approach 1:
The patent applies feedback by using the detected ear canal matching degree as feedback information to guide parameter selection. The system continuously monitors matching degree characteristics and uses this feedback to dynamically select and adjust the appropriate parameter group from the library, ensuring accurate inverse phase noise generation for variable and irregular ambient noise conditions while maintaining stable performance across different real-world scenarios.
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
Improves noise cancellation performance by flexibly adjusting noise cancellation levels and parameters to match individual user's ear canal fit, providing optimal noise cancellation experience in diverse noise environments.
Implementation Method 1
make, by using a speaker in the headset, a noise having a similar amplitude and an inverse phase to the ambient noise, to cancel the ambient noise
Data Source
AI summary
Embodiments of this application disclose a noise cancellation apparatus and method. The noise cancellation apparatus includes a main control unit and a noise cancellation processing circuit. The main control unit determines a noise cancellation parameter based on a noise cancellation level index or a feature value for determining a matching degree between a headset and an ear canal of a user. The noise cancellation processing unit obtains an inverse phase noise of an ambient noise based on the noise cancellation parameter. After the inverse phase noise is mixed with a played downlink audio signal, the ambient noise can be canceled. In addition, because the noise cancellation parameter is determined from a preset noise cancellation parameter library based on the received or autonomously determined noise cancellation level index, instead of being uniformly configured, a noise cancellation level can be flexibly adjusted.