J Am Acad Audiol 2017; 28(01): 103-104
DOI: 10.3766/jaaa.281ceu
JAAA CEU Program
Thieme Medical Publishers 333 Seventh Avenue, New York, NY 10001, USA.

JAAA CEU Program

Volume 28, Number 1 (January 2017)
Further Information

Publication History

Publication Date:
26 June 2020 (online)


    Questions refer to Korhonen et al, “Evaluation of a Wind Noise Attenuation Algorithm on Subjective Annoyance and Speech-in-Wind Performance,” 46–57.

    Learner Outcomes:

    Readers of this article should be able to:

    • Identify the style of hearing aid that experiences the greatest amount of wind noise.

    • Explain how least-mean-squares filtering can reduce uncorrelated noise, serving as the basis for hearing aid wind noise attenuation.

    1. Wind noise in hearing aids is generated when:

      • wind passes objects (trees, shrubs, car window) in the listening environment and creates noise

      • wind generates turbulences at the hearing aid microphone membrane

      • hearing aids generate internal circuit noise

    2. Because of its microphone placement, completely-in-the-canal and in-the-canal devices generally:

      • experience less wind noise than BTE devices

      • experience more wind noise than BTE devices

      • are immune to wind noise

    3. Generally, the strongest wind noise level is experienced for wind originating from the:

      • front

      • back

      • side

    4. Wind noise attenuation (WNA) algorithms typically use _______ to detect wind noise.

      • anemometer sensors

      • quick changes in the input signal

      • correlation of input signals between front and back microphones

    5. The adaptive WNA algorithm in the current study was designed to remove:

      • uncorrelated noise

      • correlated noise

      • both correlated and uncorrelated noise

    6. Stimuli were prerecorded in a wind tunnel and presented via insert earphones to allow:

      • control of wind characteristics across hearing aid processing conditions

      • post processing with experimental algorithms

      • presenting the stimuli at more comfortable levels

    7. The wind noise levels measured at the output of the hearing aid ranged from:

      • 81 to 109 dB SPL

      • 91 to 119 dB SPL

      • 101 to 129 dB SPL

    8. The measured signal-to-noise benefit at 50% performance level when using the WNA algorithm was ___ dB when wind originated from 0° at 5 m/sec.

      • 2.39

      • 4.39

      • 8.39

    9. Greatest change in annoyance when using the WNA algorithm was reported at a wind speed of:

      • 4 m/sec

      • 6 m/sec

      • 10 m/sec

    10. The phenomenon “apparent wind” refers to:

      • subjective perception of wind severity

      • average wind experienced throughout the day

      • the vector sum of true wind and headwind experienced in still air due to physical movement


    No conflict of interest has been declared by the author(s).