Spectral weighting functions for localization of complex sound. II. The effect of competing noise

Author:

Folkerts Monica L.1ORCID,Picou Erin M.2ORCID,Stecker G. Christopher3ORCID

Affiliation:

1. Department of Otolaryngology–Head and Neck Surgery, University of North Carolina at Chapel Hill 1 , 170 Manning Drive, Chapel Hill, North Carolina 27599-7070, USA

2. Department of Hearing and Speech Sciences, Vanderbilt University Medical Center 2 , 1215 21st Avenue South, Nashville, Tennessee 37232, USA

3. Center for Hearing Research, Boys Town National Research Hospital 3 , 555 North 30th Street, Omaha, Nebraska 68131, USA

Abstract

Spectral weighting of sound localization cues was measured in the presence of three levels of competing noise presented in the free field. Target stimuli were complex tones containing seven tonal components, presented from an ∼120° range of frontal azimuths. Competitors were two independent Gaussian noises presented from 90° left and right azimuth at one of three levels yielding +9, 0, and −6 dB signal-to-noise ratio. Results revealed the greatest perceptual weight for components within the interaural time difference (ITD) “dominance region,” which was found previously to peak around the 800-Hz component in quiet [Folkerts and Stecker (2022) J. Acoust. Soc. Am. 151, 3409–3425]. Here, peak weights were shifted toward lower-frequency components (i.e., 400 Hz) in all competing noise conditions. These results contradict the hypothesis of a shift in the peak weights toward higher frequencies based on previous behavioral localization performance in competing noise but are consistent with binaural cue sensitivity, availability, and reliability; measured low-frequency ITD cues within the dominance region were least disrupted by the presence of competing noise.

Funder

National Institute on Deafness and Other Communication Disorders

Publisher

Acoustical Society of America (ASA)

Subject

Acoustics and Ultrasonics,Arts and Humanities (miscellaneous)

Reference27 articles.

1. Sound localization the interaction of aging, hearing loss and hearing protection;Scand. Aud.,1996

2. Perceptual weighting of binaural lateralization cues across frequency bands;J. Assoc. Res. Otolaryngol.,2020

3. Stimulus features in signal detection;J. Acoust. Soc. Am.,1971

4. Bechtold, B. (2016). “ bastibe/Violinplot-Matlab,” Github project, available at https://github.com/bastibe/Violinplot-Matlab (Last viewed August 31, 2021).

5. Spectral dominance in binaural lateralization;Acoustica,1973

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3