Relationship between distortion and working memory for digital noise-reduction processing in hearing aids

Proceedings of Meetings on Acoustics

Volumn 19, Issue , 2013, Pages

  Arehart, Kathryn ^a   Souza, Pamela ^b   Lunner, Thomas ^b   Pedersen, Michael Syskind ^b   Kates, James ^b  

^a UNIVERSITY OF COLORADO   (United States)

^b NONE

Author keywords

[No Author keywords available]

Indexed keywords

ADVANCED SIGNAL PROCESSING; ATTENUATION RATE; ELDERLY ADULTS; NOISE CONDITIONS; NOISE REDUCTION ALGORITHMS; SPEECH QUALITY; TEST MATERIALS; WORKING MEMORY;

ALGORITHMS; AUDITION; COMMERCE; HEARING AIDS; METAL DRAWING; NOISE ABATEMENT; SIGNAL PROCESSING; SPEECH INTELLIGIBILITY; SPEECH PROCESSING;

ACOUSTIC NOISE;

EID: 84878967857     PISSN: 1939800X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1121/1.4800076     Document Type: Conference Paper

References (15)

1. ANSI S3.5-1997, American National Standard: Methods for the Calculation of the Speech Intelligibility Index, American National Standards Institute, New York.
2. Arehart, K. H., Souza, P., Baca, R., and Kates, J.M. (2013). "Working memory, age, and hearing loss: Susceptibility to hearing aid distortion," Ear Hear. in press.
3. Christiansen, C., Pedersen, M.S., and Dau, T. (2010). "Prediction of speech intelligibility based on an auditory preprocessing model," Speech Comm. 52, 678-692.
4. Ephraim, Y. and Malah, D. (1984). "Speech enhancement using a minimum mean-square error short-time spectral amplitude estimator," IEEE Trans. Acoust. Speech and Sig. Proc. ASSP-32, 1109-1121.
5. Kates, J.M. (1992). "On using coherence to measure distortion in hearing aids," J. Acoust. Soc. Am. 91, 2236-2244.
6. Kates, J. M. and Arehart, K. H. (2005). "Coherence and the speech intelligibility index," J. Acoust. Soc. Am. 117, 2224-2237.
7. Kates, J. M. and Arehart, K. H. (2010). "The Hearing-Aid Speech Quality Index (HASQI)," J. Audio. Eng. Soc. 58, 363-381.
8. Kjems, U., Boldt, J.B., Pedersen, M.S., Lunner, T., and Wang, D. (2009). "Role of mask pattern in intelligibility of ideal binary-masked noisy speech," J. Acoust. Soc. Am. 126, 1415-1426.
9. Li, N. and Loizou, P. C. (2008). "Factors influencing intelligibility of ideal binary-masked speech: Implications for noise reduction," J. Acoust. Soc. Am. 123, 1673-1682.
10. Ng, E.H.N., Rudner, M., Lunner, T., and Rönnberg, J. (2010). "Effects of hearing aid signal processing on cognitive outcome measurements." International Hearing Aid Research Conference, IHCON. Lake Tahoe, California.
11. Nilsson M., Soli S.D., and Sullivan J. (1994). "Development of the hearing in noise test for the measurement of speech reception thresholds in quiet and in noise," J. Acoust. Soc. Am. 95, 1085-99.
12. Rudner, M., Ng, E.H.N., Rönnberg, N., Mishra, S., Rönnberg, J., Lunner, T., and Stenfelt, S. (2012). "Cognitive spare capacity," Journal of Hearing Science, 1(2), p. 47-49.
13. Sarampalis, A., Kalluri, S., Edwards, B., and Hafter, E. (2009). "Objective measures of listening effort: Effects of background noise and noise reduction," J. Speech Hear. Res. 52, 1230-1240.
14. Taal, C.H., Hendriks, R.C., Heusdens, R., and Jensen, J. (2011). "An algorithm for intelligibility prediction of time-frequency weighted noisy speech," IEEE Trans. Audio Speech and Lang. Proc. 19, 2125-2136.
15. Wang, D., Kjems, U., Pedersen, M.S., Boldt, J.B., and Lunner, T. (2009). "Speech intelligibility in background noise with ideal binary time-frequency masking," J. Acoust. Soc. Am. 125, 2336-2347.