Identification of pseudohypacusis using speech recognition thresholds

被引:10
|
作者
Schlauch, RS
Arnce, KD
Olson, LM
Sanchez, S
Doyle, TN
机构
[1] UNIV MINNESOTA,DEPT OTOLARYNGOL,MINNEAPOLIS,MN 55455
[2] VET AFFAIRS MED CTR,MINNEAPOLIS,MN
来源
EAR AND HEARING | 1996年 / 17卷 / 03期
关键词
D O I
10.1097/00003446-199606000-00006
中图分类号
R36 [病理学]; R76 [耳鼻咽喉科学];
学科分类号
100104 ; 100213 ;
摘要
Objective: To determine the extent to which procedural variations affect pure-tone average-spondee threshold (PTA-SRT) agreement in pseudohypacusis, to propose a theoretical framework to account for threshold differences due to procedural variations, and to devise an effective screening test for identification of pseudohypacusis. Design: The subjects were normally hearing listeners who feigned a hearing loss. One experimental group received an ascending pure-tone (PT) technique combined with an ascending SRT procedure. A second experimental group received an ascending PT technique paired with a descending SRT procedure. A third experimental group received an ascending SRT procedure paired with a descending PT procedure. Results: The group mean difference between the three-frequency PTA and the SRT was 10.6, 2.3, and 41.6 dB for the first, second, and third experimental groups, respectively, Comparison SRTs and PTAs from cooperative patients with hearing loss showed that a two-frequency PTA yielded a more effective test for pseudohypacusis than did a three-frequency PTA. Conclusions: The procedural differences noted in this study are consistent with a loudness bias. It is recommended that clinicians employ an ascending procedure to measure SRTs and a descending procedure to measure PT thresholds to maximize the effectiveness of a screening test for pseudohypacusis based on PTA-SRT differences.
引用
收藏
页码:229 / 236
页数:8
相关论文
共 50 条
  • [1] Measuring Mandarin Speech Recognition Thresholds Using the Method of Adaptive Tracking
    Wang, Yuxia
    Lu, Zhaoyu
    Yang, Xiaohu
    LiU, Chang
    [J]. JOURNAL OF SPEECH LANGUAGE AND HEARING RESEARCH, 2019, 62 (06): : 2009 - 2017
  • [2] Speaker identification and speech recognition using phased arrays
    Xu, Roger
    Mei, Gang
    Ren, ZuBing
    Kwan, Chiman
    Aube, Julien
    Rochet, Cedrick
    Stanford, Vincent
    [J]. AMBIENT INTELLIGENCE IN EVERDAY LIFE, 2006, 3864 : 227 - 238
  • [3] PREDICTING SPEECH RECOGNITION THRESHOLDS FROM PURE-TONE HEARING THRESHOLDS
    COREN, S
    HAKSTIAN, AR
    [J]. PERCEPTUAL AND MOTOR SKILLS, 1994, 79 (02) : 1003 - 1008
  • [4] RECOGNITION THRESHOLDS FOR A SPEECH CONTINUUM FOLLOWING SELECTIVE ADAPTATION
    HARRIS, LB
    PASTORE, RE
    [J]. PERCEPTION & PSYCHOPHYSICS, 1983, 34 (03): : 268 - 272
  • [5] Melodic contour identification and sentence recognition using sung speech
    Crew, Joseph D.
    Galvin, John J., III
    Fu, Qian-Jie
    [J]. JOURNAL OF THE ACOUSTICAL SOCIETY OF AMERICA, 2015, 138 (03): : EL347 - EL351
  • [6] Effect of Various Visual Speech Units on Language Identification Using Visual Speech Recognition
    Brahme, Aparna
    Bhadade, Umesh
    [J]. INTERNATIONAL JOURNAL OF IMAGE AND GRAPHICS, 2020, 20 (04)
  • [7] SPEAKER IDENTIFICATION AND MESSAGE IDENTIFICATION IN SPEECH RECOGNITION
    GARVIN, PL
    LADEFOGED, P
    [J]. PHONETICA, 1963, 9 (04) : 193 - 199
  • [8] Automatic Language Identification Using Speech Rhythm Features for Multi-Lingual Speech Recognition
    Kim, Hwamin
    Park, Jeong-Sik
    [J]. APPLIED SCIENCES-BASEL, 2020, 10 (07):
  • [9] Spoken language identification using large vocabulary speech recognition.
    Hieronymus, JL
    Kadambe, S
    [J]. ICSLP 96 - FOURTH INTERNATIONAL CONFERENCE ON SPOKEN LANGUAGE PROCESSING, PROCEEDINGS, VOLS 1-4, 1996, : 1780 - 1783
  • [10] Automatic language identification using large vocabulary continuous speech recognition
    Mendoza, S
    Gillick, L
    Ito, Y
    Lowe, S
    Newmann, M
    [J]. 1996 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, CONFERENCE PROCEEDINGS, VOLS 1-6, 1996, : 785 - 788