Objective Signal Analysis for Investigating Feasibility of Active Noise Cancellation in Hearing Screening

Hsiu Lien Cheng, Ji Yan Han, Wei Zhong Zheng, Yen Fu Cheng, Yuan Chia Chu, Chia Mei Lin, Ming Chang Chiang, Wen Huei Liao, Ying Hui Lai*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

With the development of active noise cancellation (ANC) technology, ANC has been used to mitigate the effects of environmental noise on audiometric results. However, objective evaluation methods supporting the accuracy of audiometry for ANC exposure to different levels of noise have not been reported. Accordingly, the audio characteristics of three different ANC headphone models were quantified under different noise conditions and the feasibility of ANC in noisy environments was investigated. Steady (pink noise) and non-steady noise (cafeteria babble noise) were used to simulate noisy environments. We compared the integrity of pure-tone signals obtained from three different ANC headphone models after processing under different noise scenarios and analyzed the degree of ANC signal correlation based on the Pearson correlation coefficient compared to pure-tone signals in quiet. The objective signal correlation results were compared with audiometric screening results to confirm the correspondence. Results revealed that ANC helped mitigate the effects of environmental noise on the measured signal and the combined ANC headset model retained the highest signal integrity. The degree of signal correlation was used as a confidence indicator for the accuracy of hearing screening in noise results. It was found that the ANC technique can be further improved for more complex noisy environments.

Original languageEnglish
Article number7329
JournalSensors
Volume22
Issue number19
DOIs
StatePublished - Oct 2022

Keywords

  • active noise cancellation
  • hearing screening
  • Pearson correlation

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