Literature DB >> 18469711

The performance/intensity function: an underused resource.

Arthur Boothroyd1.   

Abstract

The purpose of this tutorial is to demonstrate the potential value of the Performance versus Intensity (PI) function in both research and clinical settings. The PI function describes recognition probability as a function of average speech amplitude. In effect, it shows the cumulative distribution of useful speech information across the amplitude domain, as speech rises from inaudibility to full audibility. The basic PI function can be modeled by a cubed exponential function with three free parameters representing: (a) threshold of initial audibility, (b) amplitude range from initial to full audibility, and (c) recognition probability at full audibility. Phoneme scoring of responses to consonant-vowel-consonant words makes it possible to obtain complete PI functions in a reasonably short time with acceptable test-retest reliability. Two examples of research applications are shown here: (a) the preclinical behavioral evaluation of compression amplification schemes, and (b) assessment of the distribution of reverberation effects in the amplitude domain. Three examples of clinical application show data from adults with different degrees and configurations of sensorineural hearing loss. In all three cases, the PI function provides potentially useful information over and above that which would be obtained from measurement of Speech Reception Threshold and Maximum word recognition in Phonectically Balanced lists. Clinical application can be simplified by appropriate software and by a routine to convert phoneme recognition scores into estimates of the more familiar whole-word recognition scores. By making assumptions about context effects, phoneme recognition scores can also be used to estimate word recognition in sentences. It is hard to escape the conclusion that the PI function is an easily available, potentially valuable, but largely neglected resource for both hearing research and clinical audiology.

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Year:  2008        PMID: 18469711     DOI: 10.1097/AUD.0b013e318174f067

Source DB:  PubMed          Journal:  Ear Hear        ISSN: 0196-0202            Impact factor:   3.570


  17 in total

1.  Clinical Implications of Word Recognition Differences in Earphone and Aided Conditions.

Authors:  Theodore R McRackan; Jayne B Ahlstrom; William B Clinkscales; Ted A Meyer; Judy R Dubno
Journal:  Otol Neurotol       Date:  2016-12       Impact factor: 2.311

2.  The effect of speech material on the band importance function for Mandarin Chinese.

Authors:  Yufan Du; Yi Shen; Xihong Wu; Jing Chen
Journal:  J Acoust Soc Am       Date:  2019-07       Impact factor: 1.840

Review 3.  Hearing and Cognitive Impairment and the Role of the International Classification of Functioning, Disability and Health as a Rehabilitation Framework.

Authors:  Christopher Lind; Carly Meyer; Jessica Young
Journal:  Semin Hear       Date:  2016-08

4.  Phoneme and Word Scoring in Speech-in-Noise Audiometry.

Authors:  Curtis J Billings; Tina M Penman; Emily M Ellis; Lucas S Baltzell; Garnett P McMillan
Journal:  Am J Audiol       Date:  2016-03       Impact factor: 1.493

5.  Testing Speech Recognition in Spanish-English Bilingual Children with the Computer-Assisted Speech Perception Assessment (CASPA): Initial Report.

Authors:  Paula B García; Lydia Rosado Rogers; Kanae Nishi
Journal:  Ear Hear       Date:  2016 Jul-Aug       Impact factor: 3.570

6.  A comparison of presentation levels to maximize word recognition scores.

Authors:  Lesli A Guthrie; Carol L Mackersie
Journal:  J Am Acad Audiol       Date:  2009-06       Impact factor: 1.664

7.  Predicting neural deficits in sensorineural hearing loss from word recognition scores.

Authors:  Kelsie J Grant; Aravindakshan Parthasarathy; Viacheslav Vasilkov; Benjamin Caswell-Midwinter; Maria E Freitas; Victor de Gruttola; Daniel B Polley; M Charles Liberman; Stéphane F Maison
Journal:  Sci Rep       Date:  2022-06-23       Impact factor: 4.996

8.  Amplification Self-Adjustment: Controls and Repeatability.

Authors:  Arthur Boothroyd; Jennifer Retana; Carol L Mackersie
Journal:  Ear Hear       Date:  2022 May/Jun       Impact factor: 3.562

9.  Performance-intensity functions for normal-hearing adults and children using computer-aided speech perception assessment.

Authors:  Ryan McCreery; Rindy Ito; Merry Spratford; Dawna Lewis; Brenda Hoover; Patricia G Stelmachowicz
Journal:  Ear Hear       Date:  2010-02       Impact factor: 3.570

10.  Refining Stimulus Parameters in Assessing Infant Speech Perception Using Visual Reinforcement Infant Speech Discrimination: Sensation Level.

Authors:  Kristin M Uhler; Rosalinda Baca; Emily Dudas; Tammy Fredrickson
Journal:  J Am Acad Audiol       Date:  2015 Nov-Dec       Impact factor: 1.664

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