Adaptive Ear Interface Detection for Headphone ANC

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Solution Overview

Problem

Existing noise cancellation technologies in electronic devices do not effectively adapt to different headphone configurations, such as ear tip sizes and seal qualities, leading to compromised audio quality and user experience across various environments.

Innovation Solution

An adaptive noise cancellation (ANC) system that detects and adjusts to the ear interface mode of headphones by measuring acoustic responses and using a look-up table or ear canal modeling to optimize audio output, allowing for improved performance across a range of configurations.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Device complexity

If a single set of ANC parameters is used for all headphone configurations, then the system is simple to implement, but audio quality and noise cancellation performance are compromised across different ear interface modes

Engineering Contradiction:
Improveparameter configurationVSAvoidaudio quality
Core Design Contradiction:
Device complexityVSReliability

Solution Approach 1:

The patent implements dynamic adaptation of ANC parameters based on detected ear interface mode. The system transitions from static single-parameter configuration to dynamic multi-parameter selection, where parameters are automatically adjusted according to the detected seal quality and earbud configuration, resolving the contradiction between system simplicity and performance reliability

Inventive Principle:
Principle #15Dynamics

Solution Approach 2:

The system changes operational parameters based on detected conditions. Different ANC parameter sets are selected corresponding to different ear interface modes (e.g., with/without overmold, different ear tip sizes), allowing optimal noise cancellation performance for each configuration while maintaining automated operation

Inventive Principle:
Principle #35Parameter changes

2Reliability

If ANC parameters are optimized for specific headphone configurations, then audio quality improves for those configurations, but the system cannot adapt to other configurations

Engineering Contradiction:
Improveaudio qualityVSAvoidconfiguration compatibility
Core Design Contradiction:
ReliabilityVSAdaptability or versatility

Solution Approach 1:

The patent creates a universal ANC system that handles multiple headphone configurations through a single integrated solution. The system includes multiple parameter sets and uses detection mechanisms to automatically select the appropriate parameters for the connected headphones, making the system universally compatible while maintaining optimized performance across different ear interface modes

Inventive Principle:
Principle #6Universality (Multi-functionality)

Solution Approach 2:

The system employs feedback through detection of ear interface mode characteristics (acoustic responses, impedance measurements) to automatically determine the appropriate ANC parameter set. This closed-loop approach ensures the system adapts to the specific headphone configuration connected, maintaining high audio quality and noise cancellation performance across diverse configurations

Inventive Principle:
Principle #23Feedback

Data Source

PatentUS10586521B2Ear interface detection
Publication Date: 2020.03.10 CIRRUS LOGIC INC
  • US10586521B2 patent drawing
  • US10586521B2 patent drawing
  • US10586521B2 patent drawing

AI summary

An ear interface mode of headphones may be determined by measuring an acoustic response of the headphones. For example, the headphones may be determined to be in a leaky or sealed configuration. An adaptive noise cancellation (ANC) system may be controlled based on the determined ear interface mode of the headphones. For example, a set of configuration parameters may be loaded for the ANC system corresponding to the known ear interface mode. An anti-noise signal may be generated according to the selected configuration parameters, and that anti-noise signal added during playback of media, such as voice recordings, music, videos, or telephone call speech.