Working memory and intelligibility of hearing-aid processed speech

Frontiers in Psychology

Volumn 6, Issue MAY, 2015, Pages

  Souza, Pamela E ^a   Arehart, Kathryn H ^b   Shen, Jing ^a   Anderson, Melinda ^b   Kates, James M ^b  

^a NORTHWESTERN UNIVERSITY   (United States)

^b UNIVERSITY OF COLORADO   (United States)

Author keywords

Aging; Cognition; Compression; Hearing aid; Hearing loss; Intelligibility; Quality

Indexed keywords

EID: 84930936995     PISSN: None     EISSN: 16641078     Source Type: Journal    
DOI: 10.3389/fpsyg.2015.00526     Document Type: Article

References (58)

1. Akeroyd, M. A. (2008). Are individual differences in speech reception related to individual differences in cognitive ability? A survey of twenty experimental studies with normal and hearing-impaired adults. Int. J. Audiol. 47 (Suppl. 2), S53-S71. doi: 10.1080/14992020802301142
2. Alexander, J. M., Kopun, J. G., and Stelmachowicz, P. G. (2014). Effects of frequency compression and frequency transposition on fricative and affricate perception in listeners with normal hearing and mild to moderate hearing loss. Ear Hear. 35, 519-532. doi: 10.1097/AUD.0000000000000040
3. Anderson, M. C., Arehart, K. H., and Kates, J. M. (2009). The acoustic and perceptual effects of series and parallel processing. EURASIP J. Adv. Signal Process. 2009:619805. doi: 10.1155/2009/619805
4. Anderson, S., Parbery-Clark, A., White-Schwoch, T., and Kraus, N. (2012). Aging affects neural precision of speech encoding. J. Neurosci. 32, 14156-14164. doi: 10.1523/JNEUROSCI.2176-12.2012
5. Anderson, S., White-Schwoch, T., Parbery-Clark, A., and Kraus, N. (2013). Reversal of age-related neural timing delays with training. Proc. Natl. Acad. Sci. U.S.A. 110, 4357-4362. doi: 10.1073/pnas.1213555110
6. ANSI. (2009). American National Standards Institute Specification of Hearing Aid Characteristics. New York, NY: ANSI.
7. Arehart, K. H., Kates, J. M., and Anderson, M. C. (2010). Effects of noise, nonlinear processing, and linear filtering on perceived speech quality. Ear Hear. 31, 420-436. doi: 10.1097/AUD.0b013e3181d3d4f3
8. Arehart, K. H., Kates, J. M., Anderson, M. C., and Harvey, L. O. Jr. (2007). Effects of noise and distortion on speech quality judgments in normal-hearing and hearing-impaired listeners. J. Acoust. Soc. Am. 122, 1150-1164. doi: 10.1121/1.2754061
9. Arehart, K. H., Souza, P., Baca, R., and Kates, J. M. (2013a). Working memory, age, and hearing loss: susceptibility to hearing aid distortion. Ear Hear. 34, 251-260. doi: 10.1097/AUD.0b013e318271aa5e
10. Arehart, K. H., Souza, P., Lunner, T., Syskind Pedersen, M., and Kates, J. M. (2013b). "Relationship between distortion and working memory for digital noise-reduction processing in hearing aids," in Presented at the Acoustical Society of America Convention (Montreal, QC). doi: 10.1121/1.4805834
11. Baddeley, A. (1992). Working memory. Science 255, 556-559. doi: 10.1126/science.1736359
12. Baddeley, A. (2000). The episodic buffer: a new component of working memory? Trends Cogn. Sci. 4, 417-423. doi: 10.1016/S1364-6613(00)01538-2
13. Besser, J., Koelewijn, T., Zekveld, A. A., Kramer, S. E., and Festen, J. M. (2013). How linguistic closure and verbal working memory relate to speech recognition in noise-a review. Trends Amplif. 17, 75-93. doi: 10.1177/1084713813495459
14. Byrne, D., Dillon, H., Ching, T., Katsch, R., and Keidser, G. (2001). NAL-NL1 procedure for fitting nonlinear hearing aids: characteristics and comparisons with other procedures. J. Am. Acad. Audiol. 12, 37-51.
15. Chung, K. (2007). Effective compression and noise reduction configurations for hearing protectors. J. Acoust. Soc. Am. 121, 1090-1101. doi: 10.1121/1.2409859
16. Cox, R. M., Alexander, G. C., and Gilmore, C. (1987). Development of the Connected Speech Test (CST). Ear Hear. 8, 119S-126S. doi: 10.1097/00003446-198710001-00010
17. Daneman, M., and Carpenter, P. A. (1980). Individual differences in working memory and reading. J. Verbal Learn. Verbal Behav. 19, 450-466. doi: 10.1016/S0022-5371(80)90312-6
18. Davies-Venn, E., and Souza, P. (2014). The role of spectral resolution, working memory, and audibility in explaining variance in susceptibility to temporal envelope distortion. J. Am. Acad. Audiol. 25, 592-604. doi: 10.3766/jaaa.25.6.9
19. Dupuis, K., Marchuk, V., Pichora-Fuller, M. K., Chasteen, A. L., Singh, G., and Smith, S. L. (2013). "Sensory loss and performance on the Montreal Cognitive Assessment," in Presented at the Aging and Speech Communication Conference (Bloomington, IN).
20. Ellis, R. J., and Munro, K. J. (2015). Benefit from, and acclimitization to, frequency compression hearing aids in experienced adult hearing-aid users. Int. J. Audiol. 54, 37-47. doi: 10.3109/14992027.2014.948217
21. Eriksen, B. A., and Ericksen, C. W. (1974). Effects of noise letters upon the identification of a target letter in a nonsearch task. Percept. Psychophys. 16, 143-149. doi: 10.3758/BF03203267
22. Foo, C., Rudner, M., Rönnberg, J., and Lunner, T. (2007). Recognition of speech in noise with new hearing instrument compression release settings requires explicit cognitive storage and processing capacity. J. Am. Acad. Audiol. 18, 618-631. doi: 10.3766/jaaa.18.7.8
23. Franck, B. A. M., van Kreveld-Box, C. S. G. M., and Dreschler, W. A. (1999). Evaluation of spectral enhancement in hearing aids, combined with phonemic compression. J. Acoust. Soc. Am. 106, 1452-1464. doi: 10.1121/1.428055
24. Fry, A. F., and Hale, S. (1996). Processing speed, working memory, and fluid intelligence: evidence for a developmental cascade. Psychol. Sci. 7, 237-241. doi: 10.1111/j.1467-9280.1996.tb00366.x
25. Gabrielsson, A., Schenkman, B. N., and Hagerman, B. (1988). The effects of different frequency responses on sound quality judgments and speech intelligibility. J. Speech Hear. Res. 31, 166-177. doi: 10.1044/jshr.3102.166
26. Gatehouse, S., Naylor, G., and Elberling, C. (2006). Linear and nonlinear hearing aid fittings-2. Patterns of candidature. Int. J. Audiol. 45, 153-171. doi: 10.1080/14992020500429484
27. George, E. L., Zekveld, A. A., Kramer, S. E., Goverts, S. T., and Festen, J. M. (2007). Auditory and nonauditory factors affecting speech recognition. J. Acoust. Soc. Am. 121, 2362-2375. doi: 10.1121/1.2642072
28. Hodgson, M., Steininger, G., and Razavi, Z. (2007). Measurement and prediction of speech and noise levels and the Lombard effect in eating establishments. J. Acoust. Soc. Am. 121, 2023-2033. doi: 10.1121/1.2535571
29. Humes, L., and Floyd, S. S. (2005). Measures of working memory, sequence learning, and speech recognition in the elderly. J. Speech Lang. Hear. Res. 48, 224-235. doi: 10.1044/1092-4388(2005/016)
30. Jenstad, L. M., and Souza, P. E. (2005). Quantifying the effect of compression hearing aid release time on speech acoustics and intelligibility. J. Speech Lang. Hear. Res. 48, 651-667. doi: 10.1044/1092-4388(2005/045)
31. Kates, J. M. (2008). Digital Hearing Aids. San Diego, CA: Plural Publishing.
32. Kates, J. M., and Arehart, K. H. (2014). The Hearing Aid Speech Perception Index (HASPI). Speech Commun. 65, 75-93. doi: 10.1016/j.specom.2014.06.002
33. Kates, J. M., Arehart, K. H., and Souza, P. (2013). Integrating cognitive and peripheral factors in predicting hearing-aid processing benefit. J. Acoust. Soc. Am. 134, 4458-4469. doi: 10.1121/1.4824700
34. Lunner, T., and Sundewall-Thoren, E. (2007). Interactions between cognition, compression, and listening conditions: effects on speech-in-noise performance in a two-channel hearing aid. J. Am. Acad. Audiol. 18, 604-617. doi: 10.3766/jaaa.18.7.7
35. McAulay, R. J., and Quatieri, T. F. (1986). Speech analysis/synthesis based on a sinusoidal representation. IEEE Trans. Acoust. Speech Signal Process. 34, 744-754. doi: 10.1109/TASSP.1986.1164910
36. McDermott, H. J. (2011). A technical comparison of digital frequency-lowering algorithms available in two current hearing aids. PLoS ONE 6:e22358. doi: 10.1371/journal.pone.0022358
37. Miyake, A., Emerson, M. J., and Friedman, N. P. (2000). Assessment of executive functions in clinical settings: problems and recommendations. Semin. Speech Lang. 21, 169-183. doi: 10.1055/s-2000-7563
38. Moore, B. C. (2004). Dead regions in the cochlea: conceptual foundations, diagnosis and clinical applications. Ear Hear. 25, 98-116. doi: 10.1097/01.AUD.0000120359.49711.D7
39. Nasreddine, Z. S., Phillips, N. A., Bedirian, V., Charbonneau, S., Whitehead, V., Collin, I., et al. (2005). The Montreal Cognitive Assessment, MoCA: a brief screening tool for mild cognitive impairment. J. Am. Geriatr. Soc. 53, 695-699. doi: 10.1111/j.1532-5415.2005.53221.x
40. Neher, T. (2014). Relating hearing loss and executive functions to hearing aid users' preference for, and speech recognition with, different combinations of binaural noise reduction and microphone directionality. Front. Neurosci. 8:391. doi: 10.3389/fnins.2014.00391
41. Neher, T., Grimm, G., and Hohmann, V. (2014). Perceptual consequences of different signal changes due to binaural noise reduction: do hearing loss and working memory capacity play a role? Ear Hear. 35, e213-e227. doi: 10.1097/AUD.0000000000000054
42. Neher, T., Grimm, G., Hohmann, V., and Kollmeier, B. (2013). Do hearing loss and cognitive function modulate benefit from different binaural noise-reduction settings? Ear Hear. 35, e52-e62. doi: 10.1097/AUD.0000000000000003
43. Ohlenforst, B., Souza, P., and MacDonald, E. (2014). "Interaction of working memory, compressor speed and background noise characteristics," in Presented at the American Auditory Society Conference, (Scottsdale, AZ).
44. Olsen, W. O. (1998). Average speech levels spectra in various speaking/listening conditions: a summary of the Pearson, Bennett and Fidell (1977 report. Am. J. Audiol. 7, 21-25. doi: 10.1044/1059-0889(1998/012)
45. Pichora-Fuller, M. K. (2008). Use of supportive context by younger and older adult listeners: balancing bottom-up and top-down information processing. Int. J. Audiol. 47, S72-S82. doi: 10.1080/14992020802307404
46. Pichora-Fuller, M. K., and Souza, P. (2003). Effects of aging on auditory processing of speech. Int. J. Audiol. 42, 2S11-2S16. doi: 10.3109/14992020309074638
47. Raudenbush, S. W., and Bryk, A. S. (2002). Hierarchical Linear Models: Applications and Data Analysis Methods, 2nd Edn. Thousand Oaks, CA: Sage Publishing.
48. Rönnberg, J., Arlinger, S., Lyxell, B., and Kinnefors, C. (1989). Visual evoked potentials: relation to adult speechreading and cognitive function. J. Speech Hear. Res. 32, 725-735. doi: 10.1044/jshr.3204.725
49. Rönnberg, J., Lunner, T., Zekveld, A., Sorqvist, P., Danielsson, H., Lyxell, B., et al. (2013). The Ease of Language Understanding (ELU) model: theoretical, empirical, and clinical advances. Front. Syst. Neurosci. 7:31. doi: 10.3389/fnsys.2013.00031
50. Rosenthal, S. (1969). IEEE: recommended practices for speech quality measurements. IEEE Trans. Audio Electroacoust. 17, 227-246.
51. Rosetti, H. C., Lacritz, L. H., Cullum, C. M., and Weiner, M. F. (2011). Normative data for the Montreal Cognitive Assessment (MoCA) in a population-based sample. Neurology 77, 1272-1275. doi: 10.1212/WNL.0b013e318230208a
52. Salthouse, T. A. (1991). Mediation of adult age difference in cognition by reductions in working memory and speed of processing. Psychol. Sci. 2, 179-183. doi: 10.1111/j.1467-9280.1991.tb00127.x
53. Salthouse, T. A. (2000). Aging and measures of processing speed. Biol. Psychol. 54, 35-54. doi: 10.1016/S0301-0511(00)00052-1
54. Singer, J. D., and Willett, J. B. (2003). Applied Longitudinal Data Analysis: Modeling Change and Event Occurrence. New York, NY: Oxford University Press. doi: 10.1093/acprof:oso/9780195152968.001.0001
55. Smeda, K., Wolters, F., and Rung, M. (2015). Estimation of signal-to-noise ratios in realistic sound scenarios. J. Am. Acad. Audiol. 26, 183-196. doi: 10.3766/jaaa.26.2.7
56. Souza, P., Arehart, K. H., Kates, J. M., Croghan, N. B., and Gehani, N. (2013). Exploring the limits of frequency lowering. J. Speech Lang. Hear. Res. 56, 1349-1363. doi: 10.1044/1092-4388(2013/12-0151)
57. Souza, P., and Sirow, L. (2014). Relating working memory to compression parameters in clinically fit hearing aids. Am. J. Audiol. 23, 394-401. doi: 10.1044/2014_AJA-14-0006
58. Zahorian, S. A., and Rothenberg, M. (1981). Principal-components analysis for low-redundancy encoding of speech spectra. J. Acoust. Soc. Am. 69, 832. doi: 10.1121/1.385539