02095caa a2200253   4500008004100000022001400041100002100055245009800076260000900174300001200183490002300195520128600218653008401504700001401588700001801602700002301620700003001643700002201673700002401695773004001719856005001759942001501809999001701824210629s9999    xx            000 0 und d  a1708-8186  aKishore Tanniru  0aDevelopment of equally intelligible Telugu sentence-lists to test speech recognition in noise  c2017  a664-671  vVolume 56  Issue 9  aObjective: To develop sentence lists in the Telugu language for the assessment of speech recognition threshold (SRT) in the presence of background noise through identification of the mean signal-to-noise ratio required to attain a 50% sentence recognition score (SRTn). Design: This study was conducted in three phases. The first phase involved the selection and recording of Telugu sentences. In the second phase, 20 lists, each consisting of 10 sentences with equal intelligibility, were formulated using a numerical optimisation procedure. In the third phase, the SRTn of the developed lists was estimated using adaptive procedures on individuals with normal hearing. Study sample: A total of 68 native Telugu speakers with normal hearing participated in the study. Of these, 18 (including the speakers) performed on various subjective measures in first phase, 20 performed on sentence/word recognition in noise for second phase and 30 participated in the list equivalency procedures in third phase. Results: In all, 15 lists of comparable difficulty were formulated as test material. The mean SRTn across these lists corresponded to −2.74 (SD = 0.21). Conclusions: The developed sentence lists provided a valid and reliable tool to measure SRTn in Telugu native speakers.  aSpeech recognition, background noise, sentence lists, Telugu, speech perception  aAnusha, K  aChandni Jain   aNiraj Kumar Singh   aRamadevi Sreenivas K. J.   aSreeraj Konadath   aVijaya Kumar Narne   aInternational Journal of Audiology   uhttps://doi.org/10.1080/14992027.2017.1307530  cFJASyFJAS  c17847d17847