普通话语句理解能力分割评分法的比较研究

A comparison study of two different segmentation methods to measure intelligibility in Mandarin

目的确定普通话噪声下言语测试(Mandarin hearing in noise test,MHINT)的最佳分割评分法,建立评估受试者言语能力的测试规则。方法使用 MHINT 测试材料对30名听力正常受试者进行测试,采用不同的适应性得分规则,分别将短句按单字和词组分割,进行评分。对使用两种分割评分法得到的测试结果进行比较。结果两组受试者采用不同分割评分法测试,按单字分割组和按词组分割组所得到的各适应性得分规则下的语句接受阈之间差异均无统计学意义(P>0.05);言语识别率之间差异无统计学意义(P>0.05)。同一受试者采用不同分割评分法的测试,按单字分割和按词组分割得到的各适应性得分规则下的语句接受阈之间差异尢统计学意义(P>0.05);言语识别率之间差异无统计学意义(P>0.05)。结论两种分割评分法均可用于正常听力者和听障人群的言语理解能力评估。

Objective To confirm alternative methods for Mandarin hearing in noise test（MHINT） to get the performance-intensity （PI） function, and to set up right test rules for scoring sentence intelligibility for subjects. Methods Sentence speech reception thresholds were obtained for 30 normally hearing subjects with the MHINT test using several adaptive rules based on either character or word segmentation of the sentences. Each adaptive rule was intended to measure the threshold at a different point on the PI function. By also measuring sentence intelligibility at each threshold, the accuracy with which the PI function was estimated could be evaluated for each type of segmentation. The results of different segmentation were compared. Results There was no significant difference in the reception threshold of sentences （RTS） between the group which used character segmentation and the group which used word segmentation （P 〉 0.05）; and also no significant difference in their speech recognition score （SRS, P 〉 0.05）. When the same subject used both character segmentation and word segmentation to do the test, there was no significant difference in their RTS between character segmentation and word segmentation （P 〉 0. 05 ） ; and also no significant difference in their SRS （ P 〉 0. 05 ）. Conclusions This method could be used not only with normally hearing individuals and people with hearing loss to evaluate their sentence intelligibility, but also with people who had aided equipment.