Adaptive noise cancellation in a multimicrophone system for distortion product otoacoustic emission acquisition

Rafael E. Delgado, Ozcan Ozdamar, Syed Rahman, Carlos N. Lopez

Research output: Contribution to journalArticle

24 Citations (Scopus)

Abstract

This study focuses on adaptive noise cancellation (ANC) techniques for the acquisition of distortion product otoacoustic emissions (DPOAEs). Otoacoustic emissions (OAEs) are very low level sounds produced by the outer hair cells of normal cochleas, spontaneously or in response to sound stimulation as a byproduct of a frequency and threshold sensitivity increasing mechanism. Current OAE recording systems rely on test probe noise attenuation and synchronous ensemble averaging for increasing signal-to-noise ratios (SNRs). The efficiency of an ANC algorithm for noise suppression was investigated using three microphones: one placed in the test ear, one in the nontest ear for internal noise reference; one near the subject's head for external noise reference. The system proposed was tested with simulations, off-line averaging and real-time implementation of the ANC algorithm. Simulation results showed that the technique had a potential noise reduction capability of 24 dB for complex multifrequency noise signals. Off-line results were positive, with a mean SNR improvement of 4.9 dB. Real-time results indicated that the use of an ANC algorithm in combination with standard averaging methods can reduce noise levels by as much as 10 dB beyond that obtained with standard noise reduction methods and probe attenuation alone.

Original languageEnglish
Pages (from-to)1154-1164
Number of pages11
JournalIEEE Transactions on Biomedical Engineering
Volume47
Issue number9
DOIs
StatePublished - Sep 1 2000

Fingerprint

Otoacoustic emissions
Noise abatement
Signal to noise ratio
Acoustic waves
Microphones
Byproducts
Cells

Keywords

  • Adaptive noise cancellation
  • Hearing testing
  • Otoacoustic emissions
  • Signal processing

ASJC Scopus subject areas

  • Biomedical Engineering

Cite this

Adaptive noise cancellation in a multimicrophone system for distortion product otoacoustic emission acquisition. / Delgado, Rafael E.; Ozdamar, Ozcan; Rahman, Syed; Lopez, Carlos N.

In: IEEE Transactions on Biomedical Engineering, Vol. 47, No. 9, 01.09.2000, p. 1154-1164.

Research output: Contribution to journalArticle

@article{17140bac45b544c5a846356e2675d161,
title = "Adaptive noise cancellation in a multimicrophone system for distortion product otoacoustic emission acquisition",
abstract = "This study focuses on adaptive noise cancellation (ANC) techniques for the acquisition of distortion product otoacoustic emissions (DPOAEs). Otoacoustic emissions (OAEs) are very low level sounds produced by the outer hair cells of normal cochleas, spontaneously or in response to sound stimulation as a byproduct of a frequency and threshold sensitivity increasing mechanism. Current OAE recording systems rely on test probe noise attenuation and synchronous ensemble averaging for increasing signal-to-noise ratios (SNRs). The efficiency of an ANC algorithm for noise suppression was investigated using three microphones: one placed in the test ear, one in the nontest ear for internal noise reference; one near the subject's head for external noise reference. The system proposed was tested with simulations, off-line averaging and real-time implementation of the ANC algorithm. Simulation results showed that the technique had a potential noise reduction capability of 24 dB for complex multifrequency noise signals. Off-line results were positive, with a mean SNR improvement of 4.9 dB. Real-time results indicated that the use of an ANC algorithm in combination with standard averaging methods can reduce noise levels by as much as 10 dB beyond that obtained with standard noise reduction methods and probe attenuation alone.",
keywords = "Adaptive noise cancellation, Hearing testing, Otoacoustic emissions, Signal processing",
author = "Delgado, {Rafael E.} and Ozcan Ozdamar and Syed Rahman and Lopez, {Carlos N.}",
year = "2000",
month = "9",
day = "1",
doi = "10.1109/10.867919",
language = "English",
volume = "47",
pages = "1154--1164",
journal = "IEEE Transactions on Biomedical Engineering",
issn = "0018-9294",
publisher = "IEEE Computer Society",
number = "9",

}

TY - JOUR

T1 - Adaptive noise cancellation in a multimicrophone system for distortion product otoacoustic emission acquisition

AU - Delgado, Rafael E.

AU - Ozdamar, Ozcan

AU - Rahman, Syed

AU - Lopez, Carlos N.

PY - 2000/9/1

Y1 - 2000/9/1

N2 - This study focuses on adaptive noise cancellation (ANC) techniques for the acquisition of distortion product otoacoustic emissions (DPOAEs). Otoacoustic emissions (OAEs) are very low level sounds produced by the outer hair cells of normal cochleas, spontaneously or in response to sound stimulation as a byproduct of a frequency and threshold sensitivity increasing mechanism. Current OAE recording systems rely on test probe noise attenuation and synchronous ensemble averaging for increasing signal-to-noise ratios (SNRs). The efficiency of an ANC algorithm for noise suppression was investigated using three microphones: one placed in the test ear, one in the nontest ear for internal noise reference; one near the subject's head for external noise reference. The system proposed was tested with simulations, off-line averaging and real-time implementation of the ANC algorithm. Simulation results showed that the technique had a potential noise reduction capability of 24 dB for complex multifrequency noise signals. Off-line results were positive, with a mean SNR improvement of 4.9 dB. Real-time results indicated that the use of an ANC algorithm in combination with standard averaging methods can reduce noise levels by as much as 10 dB beyond that obtained with standard noise reduction methods and probe attenuation alone.

AB - This study focuses on adaptive noise cancellation (ANC) techniques for the acquisition of distortion product otoacoustic emissions (DPOAEs). Otoacoustic emissions (OAEs) are very low level sounds produced by the outer hair cells of normal cochleas, spontaneously or in response to sound stimulation as a byproduct of a frequency and threshold sensitivity increasing mechanism. Current OAE recording systems rely on test probe noise attenuation and synchronous ensemble averaging for increasing signal-to-noise ratios (SNRs). The efficiency of an ANC algorithm for noise suppression was investigated using three microphones: one placed in the test ear, one in the nontest ear for internal noise reference; one near the subject's head for external noise reference. The system proposed was tested with simulations, off-line averaging and real-time implementation of the ANC algorithm. Simulation results showed that the technique had a potential noise reduction capability of 24 dB for complex multifrequency noise signals. Off-line results were positive, with a mean SNR improvement of 4.9 dB. Real-time results indicated that the use of an ANC algorithm in combination with standard averaging methods can reduce noise levels by as much as 10 dB beyond that obtained with standard noise reduction methods and probe attenuation alone.

KW - Adaptive noise cancellation

KW - Hearing testing

KW - Otoacoustic emissions

KW - Signal processing

UR - http://www.scopus.com/inward/record.url?scp=0034283503&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0034283503&partnerID=8YFLogxK

U2 - 10.1109/10.867919

DO - 10.1109/10.867919

M3 - Article

C2 - 11008416

AN - SCOPUS:0034283503

VL - 47

SP - 1154

EP - 1164

JO - IEEE Transactions on Biomedical Engineering

JF - IEEE Transactions on Biomedical Engineering

SN - 0018-9294

IS - 9

ER -