28
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: not found

      Development of the computerized Mandarin pediatric lexical tone and disyllabic-word picture identification test in noise (MAPPID-N).

      Read this article at

      ScienceOpenPublisherPubMed
      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          MAPPID-N was developed to assess the speech-recognition abilities in noise of Mandarin-speaking children on disyllabic words, and lexical tones in monosyllabic words, in a picture-identification test format. Twenty-six normal-hearing children aged four to nine years listened repeatedly to the test materials where noise was spatially mixed with or separated from speech, in different signal-to-noise (SNR) ratios, to obtain performance-SNR functions and SNR for 50% correct scores (SNR-50%). SNR-50% improved with age only when noise was spatially separated from speech but not when noise was mixed with speech, suggesting the improvement with age in the use of intensity and timing cues differences between the two ears. The homogeneity of the test items was improved by adjusting the intensity levels of individual test items to align their SNR-50% to the mean SNR-50% level.

          Related collections

          Author and article information

          Journal
          Cochlear Implants Int
          Cochlear implants international
          Maney Publishing
          1754-7628
          1467-0100
          2009
          : 10 Suppl 1
          Affiliations
          [1 ] Institute of Human Communicative Research and Department of Otorhinolaryngology, Head and Neck Surgery, The Chinese University of Hong Kong, Hong Kong SAR, China. kevinyuen@ent.cuhk.edu.hk
          Article
          10.1179/cim.2009.10.Supplement-1.138
          19195001
          c2a2e5b2-30d1-4ab9-8985-865f5ff58e42
          History

          Comments

          Comment on this article