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希伯来语版的 AzBio 句子测验(HeBio):开发、初步验证以及噪声的影响。

AzBio Sentence test in Hebrew (HeBio): development, preliminary validation, and the effect of noise.

机构信息

Department of Communication Disorders, Ariel University, Israel.

Meuhedet Health Services, Tel Aviv, Israel.

出版信息

Cochlear Implants Int. 2022 Sep;23(5):270-279. doi: 10.1080/14670100.2022.2083285. Epub 2022 Jun 7.

Abstract

The AzBio sentence test is widely used to assess speech perception pre- and post-cochlear implantation. This study created and validated a Hebrew version of AzBio (HeBio) and tested its intelligibility amidst background noise. In Experiment 1, 1,000 recorded Hebrew sentences were presented via five-channel vocoder to 10 normal hearing (NH) listeners for intelligibility testing. In Experiment 2, HeBio lists were presented to 25 post-lingual cochlear implant (CI) users amidst four-talker babble noise (4TBN) or in quiet, along with one-syllable word test. In Experiment 3, 20 NH listeners were presented with eight HeBio lists in two noise conditions [4TBN, speech shaped noise (SSN)] and four SNRs (+3, 0 dB, -3 dB, -6 dB). HeBio lists (33) produced 82% average understanding, no inter-list intelligibility differences among NH, and equal intelligibility for CI users. One-syllable words predicted 67% of the variance in HeBio among CI users. Higher intelligibility was found for SSN than for 4TBN, and the mean speech receptive threshold (SRT) was more negative for SSN than for 4TBN. HeBio results were similar to AzBio. Results obtained with two noise types were as expected. HeBio is recommended for evaluation of different populations in quiet and noise.

摘要

AzBio 句子测试被广泛用于评估人工耳蜗植入前后的言语感知能力。本研究创建并验证了希伯来语版的 AzBio(HeBio),并在背景噪声中测试了其可理解性。在实验 1 中,1000 个记录的希伯来语句子通过五通道声码器呈现给 10 名正常听力(NH)听众进行可理解性测试。在实验 2 中,HeBio 列表在 4 位说话者噪声(4TBN)或安静环境中呈现给 25 名后天性人工耳蜗植入(CI)使用者,同时进行单音节词测试。在实验 3 中,20 名 NH 听众在两种噪声条件[4TBN、语音成形噪声(SSN)]和四个信噪比(+3、0 dB、-3 dB、-6 dB)下呈现了 8 个 HeBio 列表。HeBio 列表产生了 82%的平均理解度,NH 组之间的列表间可理解度没有差异,CI 用户的可理解度相同。单音节词预测了 CI 用户中 HeBio 的 67%方差。SSN 的可理解度高于 4TBN,SSN 的平均言语接受阈值(SRT)比 4TBN 更负。HeBio 的结果与 AzBio 相似。两种噪声类型的结果符合预期。HeBio 推荐用于在安静和噪声环境中评估不同人群。

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