Beattie R C, Barr T, Roup C
Department of Communicative Disorders, California State University, Long Beach 90840, USA.
Br J Audiol. 1997 Jun;31(3):153-64. doi: 10.3109/03005364000000018.
The effects of noise on word recognition scores were assessed with normal-hearing and hearing-impaired subjects. Fifty-one normal-hearing subjects were tested at 50 dB HL using signal-to-noise ratios (S/Ns) of 5, 10, and 15 dB. Thirty subjects with mild-to-moderate sensorineural hearing losses were tested in quiet and in noise at S/Ns of 10 dB and 15 dB. Monosyllabic words in a Multitalker Noise were selected for testing. Mean scores for the normal-hearing subjects were 45% at the 5 dB S/N, 74% at the 10 dB S/N, and 87% at the 15 dB S/N. For the hearing-impaired subjects, scores were 85% in quiet, 60% at the 15 dB S/N, and 40% at the 10 dB S/N. These results suggest that background noise which is mildly disruptive for normal hearing subjects can be highly disruptive to hearing-impaired subjects. Moreover, these findings indicate that subjects with mild-to-moderate sensorineural hearing loss require a more favourable S/N than normal listeners to achieve comparable word recognition scores. Test-retest differences for word recognition scores revealed variability that agreed closely with predictions based on the binomial distribution for both groups of subjects. Speech-in-noise abilities must be measured directly because regression equations revealed that speech-in-noise scores cannot be predicted accurately from either puretone thresholds or speech-in-quiet scores. Word recognition functions are presented from several hearing-impaired subjects and demonstrate the value of testing in noise.
研究人员评估了噪声对听力正常和听力受损受试者单词识别分数的影响。51名听力正常的受试者在50 dB HL的强度下,使用5 dB、10 dB和15 dB的信噪比(S/N)进行测试。30名轻度至中度感音神经性听力损失的受试者在安静环境以及信噪比为10 dB和15 dB的噪声环境中接受测试。测试选用了多说话者噪声中的单音节词。听力正常的受试者在5 dB信噪比时的平均分数为45%,10 dB信噪比时为74%,15 dB信噪比时为87%。对于听力受损的受试者,安静环境中的分数为85%,15 dB信噪比时为60%,10 dB信噪比时为40%。这些结果表明,对听力正常的受试者有轻度干扰的背景噪声,对听力受损的受试者可能具有高度干扰性。此外,这些发现表明,轻度至中度感音神经性听力损失的受试者要获得与正常听力者相当的单词识别分数,需要更有利的信噪比。单词识别分数的重测差异显示出的变异性与基于二项分布对两组受试者的预测结果密切相符。必须直接测量噪声环境下的言语能力,因为回归方程显示,无法根据纯音阈值或安静环境下的言语分数准确预测噪声环境下的言语分数。文中给出了几名听力受损受试者的单词识别函数,证明了在噪声环境下进行测试的价值。