Abstract
Present study aimed to investigate the effect of age and suprathreshold processing on cocktail party listening in individuals with normal hearing sensitivity. A total of 92 participants with normal hearing sensitivity were included in the study. They were divided into two groups based on their age. Fifty two young normal hearing adults in the age range of 20–40 years and 40 older normal hearing adults in the age range of 60-80 years. Tests administered included speech perception in noise test, spatial selective attention, gap detection thresholds, temporal modulation transfer function, inter-aural time difference, differential limen of frequency and ripple noise discrimination. Results showed that older adults performed poorer than younger adults in all the tests. Also, temporal cues showed a better relation with speech perception in noise compared to the spectral cues. This can be attributed to the disrupted neural synchrony which is due to poor frequency selectivity as observed through ripple noise discrimination. Individuals rely more on temporal cues due to poorer frequency resolution and phase locking mechanism and also on top down processes such as selective attention too. A degraded speech input would lead them to rely more on their higher cognition.
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Babkoff, H., Muchnik, C., Ben-David, N., Furst, M., Even-Zohar, S., & Hildesheimer, M. (2002). Mapping lateralization of click trains in younger and older populations. Hearing Research, 165, 117–127.
Craik, F. I. M., & Byrd, M. (1982). Aging and cognitive deficits: the role of attentional resources. In F. I. M. Craik & S. Trehub (Eds.), Aging and cognitive processes (pp. 191–211). New York: Plenum.
Dempster, F. N. (1991). Inhibitory processes: a negleted dimension of intelligence. Intelligence, 15, 157–173.
Dubno, J. R., Horwitz, A. R., & Ahlstrom, J. B. (2002). Benefit of modulated maskers for speech recognition by younger and older adults with normal hearing. Journal of the Acoustical Society of America, 111(6), 2897–2907.
Finney, D. J. (1952). Statistical method in biological assay. London: C. Griffen.
Gordon-Salant, S., & Fitzgibbons, P. J. (1993). Temporal factors and speech recognition performance in young and elderly listeners. Journal of Speech and Hearing Research, 36, 1276–1285.
Grassi, M., & Soranzo, A. (2009). MLP: a MATLAB toolbox for rapid and reliable auditory threshold estimations. Behavior Research Methods, 41, 20–28.
Green, D. M. (1990). Stimulus selection in adaptive psychophysical procedures. Journal of Acoustical Society of America, 87, 2662–2674.
Green, D. M. (1993). A maximum-likelihood method for estimating thresholds in a yes-no task. Journal of Acoustical Society of America, 93, 2096–2105.
Grose, J. H., & Mamo, S. K. (2010). Processing of temporal fine structure as a function of age. Ear and Hearing, 31(6), 755–760.
Grose, J. H., Mamu, S. K., & Hall, J. W., III. (2009). Age effects in temporal envelope processing: Speech unmasking and auditory steady state responses. Ear and Hearing, 30, 568–575.
Helfer, K., & Freyman, R. (2008). Aging and speech-on-speech masking. Ear and Hearing, 29, 87–98.
Helfer, K. S., & Vargo, M. (2009). Speech recognition and temporal processing in middle-aged women. Journal of the American Academy of Audiology, 20, 264–271.
Hopkins, K., Moore, B. C. J., & Stone, M. A. (2008). Effects of moderate cochlear hearing loss on the ability to benefit from temporal fine structure information in speech. Journal of Acoustical Society of America, 123, 1140–1153.
Huss, M., & Moore, B. C. J. (2005). Dead regions and pitch perception. Journal of Acoustical Society of America, 117, 3841–3852.
Kidd, G., Arbogast, T. L., Mason, C. R., & Gallun, F. J. (2005). The advantage of knowing where to listen. Journal of Acoustical Society of America, 118, 3804–3815.
Killion, M., & Niquette, P. (2000). What can the pure-tone audiogram tell us about a patient's SNR loss? The Hearing Journal, 53(3), 46–53.
MATLAB and Statistics Toolbox 7.10, The MathWorks, Inc., Natick, Massachusetts, United States.
Methi, R., Avinash, & Kumar, U. A. (2009). Development of sentence material for Quick Speech in Noise test (Quick SIN) in Kannada. Journal of Indian Speech Language and Hearing Association, 23(1), 59–65.
Moore, B. C. J. (2008). The role of temporal fine structure processing in pitch perception, masking, and speech perception for normal-hearing and hearing-impaired people. Journal of the Association for Research in Otolaryngology, 9(4), 399–406.
Rönnberg, J., Rudner, M., Lunner, T., & Zekveld, A. A. (2010). When cognition kicks in: Working memory and speech understanding in noise. Noise & Health, 12, 26326–26329.
Ruggles, D., & Shinn-Cunningham, B. (2011). Spatial selective auditory attention in the presence of reverberant energy: Individual differences in normal-hearing listeners. Journal of the Association for Research in Otolaryngology, 12(3), 395–405.
Salthouse, T. A. (1996). The processing-speed theory of adult age differences in cognition. Psychological Review, 103, 403–428.
Schoof, T., & Rosen, S. (2014). The role of auditory and cognitive factors in understanding speech in noise by normal-hearing older listeners. Frontiers of Aging Neuroscience, 6, 307.
Schneider, B. A., Li, L., & Daneman, M. (2007). How competing speech interferes with speech comprehension in everyday listening situations. Journal of the American Academy of Audiology, 18(7), 559-572.
Soranzo, A., & Grassi, M. (2014). PSYCHOACOUSTICS: A comprehensive MATLAB toolbox for auditory testing. Frontiers in Psychology, 5, 712.
Souza, P., Arehart, K., Miller, C. W., & Muralimanohar, R. K. (2011). Effects of age on F0-discrimination and intonation perception in simulated electric and electro-acoustic hearing. Ear and Hearing, 32(1), 75–83. https://doi.org/10.1097/AUD.0b013e3181eccfe9.
Zeng, F. G., Nie, K., Stickney, G. S., Kong, Y. Y., Vongphoe, M., Bhargave, A., Wei, C., & Cao, K. (2005). Speech recognition with amplitude and frequency modulations. Proceedings of the National Academy of Sciences, 102, 2293–2298.
Zurek, P. M. (1993). Binaural advantages and directional effects in speech intelligibility. In G. A. Studebaker & I. Hockberg (Eds.), Acoustical factors affecting hearing aid performance (2nd ed., pp. 255–276). Needham Heights: Allyn and Bacon.
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Jain, C., Dwarakanath, V.M. & G, A. Suprathreshold Processing and Cocktail Party Listening in Younger and Older Adults with Normal Hearing. Ageing Int 45, 1–17 (2020). https://doi.org/10.1007/s12126-019-09356-8
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DOI: https://doi.org/10.1007/s12126-019-09356-8