Active Noise Cancellation Distortions in Headphones
Active noise cancellation distortions in headphones are not straightforward to measure. Active Noise Cancellation (ANC) effectively attenuates external background noises from droning airplane engine noise to everyday annoying environmental sounds. This permits greater enjoyment of music or speech, but at what cost? Like most signal processing, its benefits come with trade-offs such as added electronic noise and distortion. This paper uses several types of electroacoustic measurements to reveal some of these hidden trade-offs and attempts to explain how they affect the overall headphone playback sound quality.
Author: Steve Temme, Listen, Inc.
Presented at 2025 Audio Engineering Society Headphone Conference (August 2025) Espoo, Finland
Summary
Active Noise Cancellation Distortions in Headphones
This paper investigates the trade-offs of active noise cancellation (ANC) in headphones, demonstrating how signal processing can reduces traditional distortion while simultaneously degrading perceived sound quality. Although ANC effectively attenuates external noise—often by 10–40 dB, it introduces subtle distortions that standard electroacoustic metrics fail to capture.
Three high-end over-ear headphones from different manufacturers were evaluated using SoundCheck software, a head-and-torso simulator, and controlled background noise. Measurements included frequency response, total harmonic distortion (THD), intermodulation distortion (IMD), and perceptual quality using POLQA. Results showed that although ANC circuits can lower low-frequency distortion and improve seal compensation, they often also alter frequency balance, narrow soundstage, and create audible artifacts.
Intermodulation and normalized THD tests confirmed that ANC often reduces measured distortion, contradicting subjective impressions of worsened bass quality. However, time-domain analysis revealed residual and distorted audio, suggesting that ANC processing itself alters the signal beyond what frequency-domain metrics capture.
POLQA perceptual analysis correlated better with listener impressions: scores declined significantly with ANC engaged, especially in Bluetooth mode, highlighting the role of time variance and aggressive signal processing.
The paper concludes that while ANC improves noise attenuation, perceptual methods like POLQA and time-domain analysis are essential for evaluating sound quality, since traditional electroacoustic measurements alone obscure audible degradations.




