Scollie Susan D
School of Communication Sciences and Disorders, The University of Western Ontario, London, Ontario, Canada.
Ear Hear. 2008 Aug;29(4):543-56. doi: 10.1097/AUD.0b013e3181734a02.
The objective of this study was to predict consonant recognition scores of adults, children, and children with hearing impairment, using the Speech Intelligibility Index (SII). It was hypothesized that an adult-derived transfer function would be insufficient to predict the scores for children, and that transfer functions for normally hearing listeners would be insufficient to predict scores for children with hearing impairment. Proficiency corrections for age and hearing loss were explored.
A 21-consonant test of speech recognition was applied across five signal to noise ratios in a forced choice procedure. Four adults (aged 27-32 yrs), 15 children with normal hearing (aged 6.6-16.9 yrs), and 14 children with mild to severe hearing loss (aged 7.5-18 yrs) participated. The SII was computed for each listener and each test condition using the one-third octave band method. Transfer functions were fitted to the data of each group.
The adult-derived transfer function over-predicted the children's scores. Significant increases in prediction accuracy were obtained when the effects of age and hearing loss were incorporated into the transfer function as proficiency factors.
The SII could successfully be used to predict speech recognition scores for both adults and children, once the effects of age and hearing loss were included in the development of a transfer function. Specific proficiency factors developed here may not generalize to other data sets. Nonetheless, the results shed light on factors to consider when using the SII to predict children's speech recognition scores.
本研究的目的是使用言语可懂度指数(SII)预测成人、儿童以及听力受损儿童的辅音识别分数。研究假设是,源自成人的传递函数不足以预测儿童的分数,并且正常听力听众的传递函数不足以预测听力受损儿童的分数。探讨了针对年龄和听力损失的熟练度校正。
在强制选择程序中,针对五个信噪比应用了一项包含21个辅音的言语识别测试。四名成人(年龄在27 - 32岁之间)、15名听力正常的儿童(年龄在6.6 - 16.9岁之间)以及14名轻度至重度听力损失的儿童(年龄在7.5 - 18岁之间)参与了研究。使用1/3倍频程带方法为每位听众和每个测试条件计算SII。为每组数据拟合传递函数。
源自成人的传递函数高估了儿童的分数。当将年龄和听力损失的影响作为熟练度因素纳入传递函数时,预测准确性得到了显著提高。
一旦在传递函数的开发中纳入年龄和听力损失的影响,SII可以成功地用于预测成人和儿童的言语识别分数。此处开发的特定熟练度因素可能不适用于其他数据集。尽管如此,这些结果揭示了在使用SII预测儿童言语识别分数时需要考虑的因素。