Development and validation of the AzBio sentence lists.
Development and validation of the AzBio sentence lists.
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DOI：
10.1097/aud.0b013e31822c2549
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发表时间：
2012-01
期刊：
影响因子：
3.7
通讯作者：
Cook S
中科院分区：
文献类型：
--
作者：
Spahr AJ;Dorman MF;Litvak LM;Van Wie S;Gifford RH;Loizou PC;Loiselle LM;Oakes T;Cook S
本研究的目的是建立和验证一套新的句子列表，可用于评估听力受损的听众和人工耳蜗植入者的言语感知能力。我们的目的是生成大量的句子列表，这些句子列表具有相同的难度水平，用于评估随着时间的推移和各种条件的表现。AzBio句子语料库包括来自2名女性和2名男性说话者的1000个句子。每个句子的平均可懂度是通过5通道人工耳蜗模拟处理每个句子并计算15名听力正常的听众所获得的平均正确分数来估计的。每个说话者的句子按正确率排序，从每个说话者中选择165个句子，然后依次分配到33个列表中，每个列表包含20个句子（每个说话者5个句子）。通过向15名人工耳蜗植入者随机提供所有列表，验证列表等效性。使用人工耳蜗模拟研究中的句子分数，产生了33个句子列表，平均正确率为85%。对人工耳蜗使用者的验证研究结果显示，33个句子列表中有29个的正确率没有显着差异。然而，个别听众在29份名单上的表现表现差异很大。使用二项分布模型解释列表中观察到的固有变异性。该模型还用于生成一个和两个列表比较的95%置信区间。对172例研究对象在单一条件下进行两个列表测试的回顾性分析显示，94%的结果准确地包含在这些置信区间内。使用5通道人工耳蜗模拟来估计单个句子的可懂度，允许创建大量具有同等难度的句子列表。人工耳蜗用户验证程序的结果发现，33个列表中有29个列表允许的分数没有统计学差异。然而，个别听众表现出相当大的差异，在性能的列表。该变异性通过二项分布模型准确描述，并用于估计在比较每种条件下一个和两个列表的评分时达到统计学显著性所需的变化幅度。AzBio句子测试中包含了15个句子列表，用于听力受损听众和人工耳蜗植入用户的临床评估。人工耳蜗植入体制造商将分发的最低语音测试组合中包含额外的8个句子列表，用于评估人工耳蜗植入体候选人。
This goal of this study was to create and validate a new set of sentence lists that could be used to evaluate the speech perception abilities of hearing impaired listeners and cochlear implant users. Our intention was to generate a large number of sentence lists with an equivalent level of difficulty for the evaluation of performance over time and across conditions. The AzBio sentence corpus includes 1000 sentences recorded from 2 female and 2 male talkers. The mean intelligibility of each sentence was estimated by processing each sentence through a 5-channel cochlear implant simulation and calculating the mean percent correct score achieved by 15 normal-hearing listeners. Sentences from each talker were sorted by percent correct score and 165 sentences were selected from each talker and were then sequentially assigned to 33 lists, each containing 20 sentences (5 sentences from each talker). List equivalency was validated by presenting all lists, in random order, to 15 cochlear implant users. Using sentence scores from the cochlear implant simulation study produced 33 lists of sentences with a mean score of 85% correct. The results of the validation study with cochlear implant users revealed no significant differences in percent correct scores for 29 of the 33 sentence lists. However, individual listeners demonstrated considerable variability in performance on the 29 lists. The binomial distribution model was used to account for the inherent variability observed in the lists. This model was also used to generate 95% confidence intervals for one and two list comparisons. A retrospective analysis of 172 instances where research subjects had been tested on two lists within a single condition revealed that 94% of results were accurately contained within these confidence intervals. The use of a 5-channel cochlear implant simulation to estimate the intelligibility of individual sentences allowed for the creation of a large number of sentence lists with an equivalent level of difficulty. The results of the validation procedure with cochlear implant users found that 29 of 33 lists allowed scores that were not statistically different. However, individual listeners demonstrated considerable variability in performance across lists. This variability was accurately described by the binomial distribution model and was used to estimate the magnitude of change required to achieve statistical significance when comparing scores from one and two lists per condition. Fifteen sentence lists have been included in the AzBio Sentence Test, for use in the clinical evaluation of hearing impaired listeners and cochlear implant users. An additional 8 sentence lists have been included in the Minimum Speech Test Battery to be distributed by the cochlear implant manufacturers for the evaluation of cochlear implant candidates.