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ORIGINAL ARTICLE
MATURATION OF TEMPORAL PROCESSING IN CHILDREN:
MEASUREMENTS USING SPEECH AND NON-SPEECH
STIMULI
1
Department of Audiology and Speech Language Pathology, Jagadguru Sri Shivarathreeshwara Institute of Speech
and Hearing, Mysore, India
Publication date: 2015-06-30
Corresponding author
Saransh Jain
Saransh Jain, Lecturer, Department of Audiology and Speech Language Pathology, JSS Institute of Speech and Hearing, Ooty Road, Mysore-25, Karnataka, India, e-mail: saranshavi@gmail.com
Saransh Jain, Lecturer, Department of Audiology and Speech Language Pathology, JSS Institute of Speech and Hearing, Ooty Road, Mysore-25, Karnataka, India, e-mail: saranshavi@gmail.com
J Hear Sci 2015;5(2):23-35
KEYWORDS
auditory processing disorderspsychophysicspsychoacousticsauditory perceptionspeech perceptionspeech processing
ABSTRACT
Background:
Auditory temporal processing is the ability of the nervous system to detect small variations in the duration of an acoustic stimuli. A substantial body of research is available on the development of various temporal skills, but temporal resolution abilities have not been well investigated in terms of speech and non-speech stimuli. The present study investigates the development of temporal resolution abilities in children.
Material and Methods:
A normative cross-sectional research design was adopted by administering a set of psychoacoustic tests involving both speech and non-speech stimuli. Six groups of 20 children each, aged 6–12 years, with a 1-year interval between each age group, were tested and the results were compared with those of 20 adults.
Results:
The results revealed generally poorer performance of children on the entire test battery. Temporal modulation transfer function test scores, word recognition scores, and categorical perception of stop consonants matured by about 10–11 years of age. Gap detection test and time compressed speech test results showed maturation at around 8–9 years of age, whereas temporal change detection continued to mature even for the second decade of life.
Conclusions:
Overall, maturation of temporal processing skills is reached by 10–11 years of age. This information is relevant when evaluating children with various processing disorders, and should also be considered when developing various assessment and rehabilitation protocols for children with special abilities.
Auditory temporal processing is the ability of the nervous system to detect small variations in the duration of an acoustic stimuli. A substantial body of research is available on the development of various temporal skills, but temporal resolution abilities have not been well investigated in terms of speech and non-speech stimuli. The present study investigates the development of temporal resolution abilities in children.
Material and Methods:
A normative cross-sectional research design was adopted by administering a set of psychoacoustic tests involving both speech and non-speech stimuli. Six groups of 20 children each, aged 6–12 years, with a 1-year interval between each age group, were tested and the results were compared with those of 20 adults.
Results:
The results revealed generally poorer performance of children on the entire test battery. Temporal modulation transfer function test scores, word recognition scores, and categorical perception of stop consonants matured by about 10–11 years of age. Gap detection test and time compressed speech test results showed maturation at around 8–9 years of age, whereas temporal change detection continued to mature even for the second decade of life.
Conclusions:
Overall, maturation of temporal processing skills is reached by 10–11 years of age. This information is relevant when evaluating children with various processing disorders, and should also be considered when developing various assessment and rehabilitation protocols for children with special abilities.
REFERENCES (47)
1.
Eggermont JJ. Between sound and perception: reviewing the search for a neural code. Hear Res, 2001; 157(1–2): 1–42.
2.
Verhey JL. Temporal resolution and temporal integration; in Plack CJ (ed): The Oxford Handbook of Auditory Science: Hearing. Oxford University Press, Oxford, New York, 2011; 3: 105–22.
3.
Erber NP. Speech perception by profoundly hearing impaired children. J Speech Hear Disord, 1979; 44(3): 275–9.
4.
Rosen S, Walliker J, Brimacombe JA, Edgerton BJ. Prosodic and segmental aspects of speech perception with the House/3M single channel implant. J Speech Hear Res, 1989; 32(1): 93–111.
5.
Schneider BA, Pichora-Fuller MK. Age-related changes in temporal processing: implications for speech perception. Semin Hear, 2001; 22(3): 227–40.
6.
Stuart A. Development of auditory temporal resolution in school-age children revealed by word recognition in continuous and interrupted noise. Ear Hear, 2005; 26: 78–88.
7.
Elangovan S, Stuart A. Natural boundaries in gap detection are related to categorical perception of stop consonants. Ear Hear, 2008; 29(5): 761–74.
8.
Keith RW. Standardization of time compressed speech test. J Edu Audiol, 2002; 10: 15–20.
9.
Jafari Z, Omidvar S, Jafarloo S. Effect of aging on speed and temporal resolution of speech stimuli in older adults. Med J Islam Repub Iran, 2013; 27(4): 195–203.
10.
Bacon SP, Viemeister NF: Temporal modulation transfer functions in normal-hearing and hearing-impaired listeners. Audiology, 1985; 24(2): 117–34.
11.
Fitzgibbons PJ, Wightman FL. Gap detection in normal and hearing-impaired listeners. J Acoust Soc Am, 1982; 72(3): 761–5.
12.
Ahmmed A, Parker D, Adams C, Newton V. Auditory temporal resolution in children with specific language impairment. J Med Speech Lang Pathol, 2006; 14(2): 79–96.
13.
Norrelgen F, Lacerda F, Forssberg H. Temporal resolution of auditory perception and verbal working memory in 15 children with language impairment. J Learn Disabil, 2002; 35(6): 539–45.
14.
Chaubet J, Pereira L, Perez AP. Temporal resolution abilities in students with dyslexia and reading and writing disorders. Int Arch Otorhinolaryngol, 2014; 18(2): 146–9.
15.
Maxon AB, Hochberg I. Development of psychoacoustic behavior: sensitivity and discrimination. Ear Hear, 1982; 3: 301–8.
16.
Davis S, McCroskey R. Auditory fusion in children. Child Dev, 1980; 51(1): 75–80.
17.
Irwin RJ, Ball AK, Kay N, Stillman JA, Rosser J. The Development of auditory temporal acuity in children. Child Dev, 1985; 56(3): 614–20.
18.
Buss E, Hall JW-III, Grose JH, Dev MB. Development of adult-like performance in backward, simultaneous and forward masking. J Speech Lang Hear Res, 1999; 42(4), 844–9.
19.
Grose JH, Hall JW. Co-modulation masking release: is co-modulation sufficient? J Acoust Soc Am, 1993; 93(5): 2896–902.
20.
Elliott LL. Discrimination and response bias for CV syllables differing in voice onset time among children and adults. J Acoust Soc Am, 1986; 80(4): 1250–5.
21.
Johnson CE. Children’s phoneme identification in reverberation and noise. J Speech Lang Hear Res, 2000; 43(1): 144–57.
22.
American National Standards Institute. Methods for manual pure tone audiometry (ANSI S3.21-2004). New York, 2009.
23.
Grassi M, Soranzo A. MLP: A MATLAB toolbox for rapid and reliable auditory threshold estimation. Behav Res Methods, 2009; 41(1): 20–28.
24.
Boersma P: Praat, a system of doing phonetics by computer. Glot Int, 2001; 5(9/10): 341–5.
25.
Loizou P. COLEA: A Matlab software tool for speech analysis, 2009. Retrieved August 18, 2014, from http://www.utdallas.edu/˜loizo....
26.
Audacity Development Team: Audacity. A free digital audio editor, 1.3.12-beta (Unicode) 2011; Retrieved August 18, 2014, from http://audicity.sourceforge.ne....
27.
Raffin MJ, Thornton AR. Confidence levels for differences between speech-discrimination scores: a research note. J Speech Hear Res, 1980; 23(1): 5–18.
28.
Wightman F, Allen P, Dolan T, Kistler D, Jamieson D. Temporal resolution in children. Child Dev, 1989; 60: 611–24.
29.
Shinn JB, Chermak GD, Musiek FE. GIN (Gap-In-Noise) performance in pediatric population. J Am Acad Audiol, 2009; 20(4): 229–38.
30.
Hall JW, Grose JH. Development of temporal resolution in children as measured by the temporal modulation transfer function. J Acoust Soc Am, 1994; 96(1): 150–54.
31.
Peter V, Wong K, Narne VK, Sharma M, Purdy MC, McMahon C. Assessing spectral and temporal processing in children and adults using temporal modulation transfer function (TMTF), Iterated Ripple Noise (IRN) perception, and spectral ripple discrimination (SRD). J Am Acad Audiol, 2014; 25(2): 210–18.
32.
Sakai M, Chimoto S, Qin L, Safo Y. Neural mechanism of interstimulus interval-dependent response in the primary auditory cortex of awake cats. BMC Neurosci, 2009; 10(10): 1–21.
33.
Musiek FE, Shinn JB, Jirsa R, Bamiou DE, Baran JA, Zaidan E. GIN (Gaps-In-Noise) test performance in subjects with confirmed central auditory nervous system involvement. Ear Hear, 2005; 26(6): 608–18.
34.
Moore JK. Maturation of human auditory cortex: implications for speech perception. Ann Otol Rhinol Laryngol Suppl, 2002; 189: 7–10.
35.
Eggermont JJ. Representation of spectral and temporal sound features in three cortical fields of the cat. Similarities outweigh differences. J Neurophysiol, 1998; 80(5): 2743–64.
36.
Vaughan HG, Kurtzberg D. Electrophysiologic indices of human brain maturation and cognitive development; in Gunnar MR, Nelson CA (eds.); Minnesota Symposia on Child Psychology. Erlbaum, Hillsdale, New Jersey, 1992; 1–36.
37.
Suter A. Speech recognition in noise by individuals with mild hearing impairment. J Acoust Soc Am, 1985; 78: 887–900.
38.
Bronkhorst AW, Plomp R. A clinical test for the assessment of binaural speech perception in noise. Audiology, 1990; 29(5): 275–85.
39.
Gordon-Salant S, Fitzgibbons P. Age effects on discrimination of timing in auditory sequence. J Acoust Soc Am, 2004; 116: 1126–34.
40.
Larsby B, Hallgren M, Lyxell B, Arlinger S. Cognitive performance and perceived effort in speech processing tasks: effects of different noise backgrounds in normal-hearing and hearing-impaired subjects. Int J Audiol, 2005; 44(3): 131–43.
41.
Narne VK. Temporal processing and speech perception in noise by listeners with auditory neuropathy. PlosOne, 2013; 8(2): e55995.
42.
Stuart A, Phillips DP. Word recognition in continuous and interrupted broadband noise by young normal-hearing, older normal-hearing, and presbyacusic listeners. Ear Hear, 1996; 17(6): 478–89.
43.
Eimas PD, Siqueland ER, Jusczyk P, Vigorito J. Speech perception in infants. Science, 1971; 171(3968): 303–6.
44.
Madina V, Serniclaes W. Late development of categorical perception of speech sounds in pre-adolescent children. ZAS Papers in Linguistics, 2005; 42: 13–31.
45.
Hazan V, Barrett S. The development of phonemic categorization in children aged 6–12. J Phonetics, 2000; 28: 377–96.
46.
Parnell MM, Amerman JD. Maturational influence on the perception of coarticulatory effects. J Speech Hear Res, 1978; 21: 682–701.
47.
Beasley DS, Maki JE, Orchik DJ. Children’s perception of timecompressed speech on two measures of speech discrimination. J Speech Hear Disord, 1976; 41(2): 216–25.
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