Noise Cancellation Headset With Combined ANC and ENC Processing

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Solution Overview

Problem

Existing noise cancellation technologies, such as active noise cancellation (ANC), fail to distinguish between environmental noise and human voice, resulting in poor noise cancellation performance and noisy sound experiences for users.

Innovation Solution

A noise cancellation method that combines active noise cancellation (ANC) with environmental noise cancellation (ENC) to process original sound source information, separating human voice from environmental noise, and mixing the processed signals to produce clearer sound output.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Object-affected harmful factors

If active noise cancellation (ANC) is used to cancel noise in the original sound signal, then noise reduction is achieved, but the system cannot distinguish between environmental noise and human voice, resulting in poor noise cancellation performance

Engineering Contradiction:
Improvenoise cancellation performanceVSAvoiddistinction between environmental noise and human voice
Core Design Contradiction:
Object-affected harmful factorsVSLoss of information

Solution Approach 1:

The patent divides the noise cancellation task into two separate processing paths: one for environmental noise cancellation (ENC) and one for active noise cancellation (ANC). The ENC path processes the original sound signal to remove environmental noise, while the ANC path processes the reference noise signal. This segmentation allows the system to handle different types of noise differently, preserving human voice in the ENC path while using ANC for additional noise reduction.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The patent introduces an intermediary processing stage where the original sound signal is separately processed through ENC before being combined with ANC results. This intermediary ENC processing acts as a mediator that preserves important sound information (human voice) while removing environmental noise, allowing the subsequent ANC processing to work on a cleaner signal without losing critical information.

Inventive Principle:
Principle #24Intermediary (Mediator)

2Object-affected harmful factors

If only active noise cancellation (ANC) is used, then noise reduction is achieved, but the sound heard by the user remains noisy

Engineering Contradiction:
Improvenoise levelVSAvoidnoise cancellation performance
Core Design Contradiction:
Object-affected harmful factorsVSReliability

Solution Approach 1:

The patent merges two different noise cancellation approaches: environmental noise cancellation (ENC) and active noise cancellation (ANC). The ENC processing result (which preserves human voice while removing environmental noise) is combined with the ANC processing result (which provides additional noise reduction). This merging of two complementary approaches achieves better overall noise cancellation performance while maintaining sound quality.

Inventive Principle:
Principle #5Merging (Combining)

Data Source

PatentUS12424194B2Noise cancellation method and apparatus, electronic device, noise cancellation headset, and storage medium
Publication Date: 2025.09.23 LANTO ELECTRONIC LIMITED
  • US12424194B2 patent drawing
  • US12424194B2 patent drawing
  • US12424194B2 patent drawing

AI summary

Provided are a noise cancellation method and apparatus, an electronic device, a noise cancellation earphone, and a storage medium. The method includes acquiring original sound source information; performing noise reduction (NR) processing on the original sound source information using active noise cancellation (ANC) to obtain first sound information and performing the NR processing on the original sound source information using environmental noise cancellation (ENC) to obtain second sound information; and mixing and adding the first sound information and the second sound information to obtain target sound information and playing the target sound information. In this method, the NR processing can be performed on the sound using the ANC and the ENC, thereby distinguishing environmental noise from human voice, improving the noise cancellation performance, and enabling a user to hear clearer sound.