Abstract

This paper presents the development of active noise control (ANC) for light-weight earphones, and proposes using music or natural sound to estimate the critical secondary path model instead of extra random noise. Three types of light-weight ANC earphones including in-ear, earbud, and clip phones are developed. Real-time experiments are conducted to evaluate their performance using the built-in microphone inside KEMAR’s ear and to compare with commercially-available ANC headphones and earphones. Experimental results show that the developed light-weight ANC earphones achieve higher noise reduction than the commercial ANC headphones and earphones, and the in-ear ANC earphone has the best noise reduction performance.

Highlights

  • Portable devices like smart phones and MP3 players with wearable headphones or earphones are widely used by every age group from youth to the elderly

  • Y (n ) by secondary generated by thefilter adaptive filter is by the secondary pathŜmodel signal y(n)signal generated the adaptive is filtered byfiltered the secondary path model (z) and Sthen added with e(n) with measured the error sensor to synthesize reference the signal x (n)

  • Comparing the solid lines with the same color dotted lines, the results show show the the secondary secondary path path modeling modeling using using white white noise noise and and natural natural sound sound obtained obtained similar similar magnitude magnitude responses, natural sound can be used for modeling

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Summary

Introduction

Portable devices like smart phones and MP3 players with wearable headphones or earphones are widely used by every age group from youth to the elderly. The passive method uses thick acoustic earmuffs to cover the ear completely to block the environmental noise They are relatively large, bulky, costly, and ineffective at low frequency range. The second type (type B) completely encloses the ears These two types of ANC headphones are over-ear headphones and rely on large and bulky passive earmuffs clamping on the ears to reduce high frequency noise, they are not portable while performing outdoor activities. These passive headphones are not comfortable to wear due to the pressure experienced on the side of the head restricting blood flow and producing discomfort over time [13].

ANC Algorithms for Earphones
Adaptive
Natural Sound for Secondary Path Modeling
Real‐Time Experiments
Experimental Setups
Experimental for testing testing
Secondary Path Modeling Using Natural Sound
Results
Reduction
Conclusions

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