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

Riki Taitelbaum-Swead, Tzofit Dahan, Udi Katzenel, Michael F. Dorman, Leonid M. Litvak, Leah Fostick

Research output: Contribution to journalArticlepeer-review

6 Scopus citations


Objective: 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. Methods: 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). Results: 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. Conclusions: 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.

Original languageEnglish
Pages (from-to)270-279
Number of pages10
JournalCochlear Implants International
Issue number5
StatePublished - 2022


  • AzBio
  • HeBio
  • Open set
  • Sentence Test
  • Speech Perception


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