The hearing-aid speech perception index (HASPI)

Speech Communication

Volumn 65, Issue , 2014, Pages 75-93

  Kates, James M ^a   Arehart, Kathryn H ^a  

^a UNIVERSITY OF COLORADO   (United States)

Author keywords

Auditory model; Hearing aids; Hearing loss; Intelligibility index; Speech intelligibility

Indexed keywords

HEARING AIDS; SIGNAL PROCESSING; SPEECH INTELLIGIBILITY;

AUDITORY MODELING; ENVELOPE CORRELATION; FREQUENCY COMPRESSION; HEARING LOSS; HEARING-IMPAIRED LISTENERS; INTELLIGIBILITY PREDICTIONS; NOISE-SUPPRESSION ALGORITHMS; TEMPORAL FINE STRUCTURE;

AUDITION;

EID: 84905459290     PISSN: 01676393     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.specom.2014.06.002     Document Type: Article

References (82)

1. C.M. Aguilera Muñoz, P.B. Nelson, J.C. Rutledge, and A. Gago Frequency lowering processing for listeners with significant hearing loss Electronics, Circuits, and Systems: Proc. ICECS 1999 vol. 2 1999 Cypress Pafos 741 744 (September 5-8, 1999)
2. Anderson, M.C., 2010. The Role of Temporal Fine Structure in Sound Quality Perception. Ph.D. Thesis, University of Colorado Dept. Speech Lang. Hear. Sciences, 2010.
3. ANSI S3.5-1997. American National Standard: Methods for the Calculation of the Speech Intelligibility Index. American National Standards Institute, New York.
4. K.H. Arehart, P. Souza, R. Baca, and J.M. Kates Working memory, age, and hearing loss: susceptibility to hearing aid distortion Ear Hear. 34 2013 251 260
5. Arehart, K.H., Souza, P.E., Lunner, T., Pedersen, M.S., Kates, J.M., 2013b. Relationship between distortion and working memory for digital noise-reduction processing in hearing aids. In: Proc. Mtgs. Acoust. (POMA) 19, 050084: Acoust. Soc. Am. 165th Meeting, Montreal, June 2-7, 2013.
6. I.C. Bruce, M.B. Sachs, and E.D. Young An auditory-periphery model of the effects of acoustic trauma on auditory nerve responses J. Acoust. Soc. Am. 113 2003 369 388 (Pubitemid 36105690)
7. D. Byrne, and H. Dillon The national acoustics laboratories' (NAL) new procedure for selecting gain and frequency response of a hearing aid Ear Hear. 7 1986 257 265 (Pubitemid 16041360)
8. G.C. Carter, C.H. Knapp, and A.H. Nuttall Estimation of the magnitude-squared coherence function via overlapped fast Fourier transform processing IEEE Trans. Audio Electroacoust. 21 1973 337 344
9. F. Chen, and P.C. Loizou Predicting the intelligibility of vocoded speech Ear Hear. 32 2011 331 338
10. Chen, F., Guan, T., Wong, L.N., 2013, Effect of temporal fine structure on speech intelligibility modeling. In: Proc. 35th Annual Int. Conf. IEEE-EMBS, Osaka, July 3-7, 2013, pp. 4199-4202.
11. T.Y.C. Ching, H. Dillon, and D. Byrne Speech recognition of hearing-impaired listeners: predictions from audibility and the limited role of high-frequency amplification J. Acoust. Soc. Am. 103 1998 1128 1140 (Pubitemid 28087582)
12. C. Christiansen, M.S. Pedersen, and T. Dau Prediction of speech intelligibility based on an auditory preprocessing model Speech Commun. 52 2010 678 692
13. Cooke, M., 1991. Modeling Auditory Processing and Organization. PhD Thesis, U. Sheffield, May, 1991.
14. N.P. Cooper, and W.S. Rhode Mechanical responses to two-tone distortion products in the apical and basal turns of the mammalian cochlea J. Neurophysiol. 78 1997 261 270 (Pubitemid 27318928)
15. Cosentino, S., Marquardt, T., McAlpine, D., Falk, T.H., 2012. Towards objective measures of speech intelligibility for cochlear implant users in reverberant environments. In: Proc. 11th Int. Conf. on Info. Sci., Sig. Proc., and Their Appl. (ISSPA), Montreal, 2-5 July 2012, pp. 666-671.
16. T. Dau, D. Püschel, and A. Kohlrausch A quantitative model of the "effective" signal processing in the auditory system: I. Model structure J. Acoust. Soc. Am. 99 1996 3615 3622
17. H. Dudley Remaking speech J. Acoust. Soc. Am. 11 1939 169 177
18. M. Elhilali, T. Chi, and S. Shamma A spectro-temporal modulation index (STMI) for assessment of speech intelligibility Speech Commun. 41 2003 331 348
19. D. Fogerty Perceptual weighting of individual and concurrent cues for sentence intelligibility: frequency, envelope, and fine structure J. Acoust. Soc. Am. 129 2011 977 988
20. D. Glista, S. Scollie, M. Bagatto, R. Seewald, V. Parsa, and A. Johnson Evaluation of nonlinear frequency compression: clinical outcomes Int. J. Audiol. 48 2009 632 644
21. R.L. Goldsworthy, and J.E. Greenberg Analysis of speech-based speech transmission index methods with implications for nonlinear operations J. Acoust. Soc. Am. 116 2004 3679 3689 (Pubitemid 40029948)
22. A.M. Gómez, B. Schwerin, and K. Paliwal Improving objective intelligibility prediction by combining correlation and coherence based methods with a measure based on the negative distortion ratio Speech Commun. 54 2012 503 515
23. M.P. Gorga, and P.J. Abbas AP measurements of short-term adaptation in normal and acoustically traumatized ears J. Acoust. Soc. Am. 70 1981 1310 1321 (Pubitemid 12196833)
24. Greenberg, S., Arai, T., 2004. What are the essential cues for understanding spoken language? IEICE Trans. Inf. and Syst. E87-D, pp. 1059-1070.
25. D.M. Harris, and P. Dallos Forward masking of auditory nerve fiber responses J. Neurophys. 42 1979 1083 1107 (Pubitemid 9238885)
26. M.L. Hicks, and S.P. Bacon Psychophysical measures of auditory nonlinearities as a function of frequency in individuals with normal hearing J. Acoust. Soc. Am. 105 1999 326 338 (Pubitemid 29030958)
27. A. Hines, and N. Harte Speech intelligibility from image processing Speech Commun. 52 2010 736 752
28. V. Hohmann, and B. Kollmeier The effect of multichannel dynamic compression on speech intelligibility J. Acoust. Soc. Am. 97 1995 1191 1195
29. I. Holube, and B. Kollmeier Speech intelligibility predictions in hearing-impaired listeners based on a psychoacoustically motivated perception model J. Acoust. Soc. Am. 100 1996 1703 1716 (Pubitemid 26307559)
30. K. Hopkins, and B.C.J. Moore The effects of age and cochlear hearing loss on temporal fine structure sensitivity, frequency sensitivity, and speech reception in noise J. Acoust. Soc. Am. 130 2011 334 349
31. K. Hopkins, B.C.J. Moore, and M.A. Stone Effects of moderate cochlear hearing loss on the ability to benefit from temporal fine structure information in speech J. Acoust. Soc. Am. 123 2008 1140 1153 (Pubitemid 351208321)
32. T. Houtgast, and H.J.M. Steeneken Evaluation of speech transmission channels by using artificial signals Acustica 25 1971 355 367
33. L.E. Humes, D.D. Dirks, T.S. Bell, C. Ahlstrom, and G.E. Kincaid Application of the Articulation Index and the Speech Transmission Index to the recognition of speech by normal-hearing and hearing-impaired listeners J. Speech Hear. Res. 29 1986 447 462 (Pubitemid 17213070)
34. Imai, S., 1983. Cepstral analysis synthesis on the mel frequency scale. In: Proc. IEEE Int. Conf. Acoust. Speech and Sig. Proc., vol. 8, Boston, April 14-16, 1983, pp. 93-96. (Pubitemid 13585391)
35. L.V. Immerseel, and S. Peeters Digital implementation of linear gammatone filters: comparison of design methods Acoust. Res. Lett. Online 4 2003 59 64 (Pubitemid 38800346)
36. J.M. Kates A time domain digital cochlear model IEEE Trans. Sig. Proc. 39 1991 2573 2592
37. J.M. Kates On using coherence to measure distortion in hearing aids J. Acoust. Soc. Am. 91 1992 2236 2244
38. J.M. Kates Digital Hearing Aids 2008 Plural Publishing San Diego, CA ISBN-13: 978-1-59756-317-8, pp. 1-16 (Chapter 1)
39. Kates, J.M., 2013. An auditory model for intelligibility and quality predictions. Proc. Mtgs. Acoust. (POMA) 19, 050184: Acoust. Soc. Am. 165th Meeting, Montreal, June 2-7, 2013.
40. J.M. Kates, and K.H. Arehart Coherence and the speech intelligibility index J. Acoust. Soc. Am. 117 2005 2224 2237 (Pubitemid 40570480)
41. J.M. Kates, and K.H. Arehart The hearing aid speech quality index (HASQI) J. Audio Eng. Soc. 58 2010 363 381
42. J. Kiessling Current approaches to hearing aid evaluation J. Speech-Lang. Path. Audiol. Monogr. Suppl. 1 1993 39 49
43. U. Kjems, J.B. Boldt, M.S. Pedersen, and D. Wang Role of mask pattern in intelligibility of ideal binary-masked noisy speech J. Acoust. Soc. Am. 126 2009 1415 1426
44. N. Li, and P.C. Loizou Factors influencing intelligibility of ideal binary-masked speech: implications for noise reduction J. Acoust. Soc. Am. 123 2008 1673 1682 (Pubitemid 351379593)
45. C. Ludvigsen, C. Elberling, G. Keidser, and T. Poulsen Prediction of intelligibility of nonlinearly processed speech Acta Otolaryngol. Suppl. 469 1990 190 195 (Pubitemid 20201999)
46. McAulay, R.J., Quatieri, T.F., 1986. Speech analysis/synthesis based on a sinusoidal representation. IEEE Trans. Acoust. Speech and Sig. Proc. ASSP-34, pp. 744-754.
47. H.J. McDermott A technical comparison of digital frequency-lowering algorithms available in two current hearing aids PLoS One 6 7 2011 e22358 10.1371/journal.pone.0022358
48. B.C.J. Moore, and B.R. Glasberg Suggested formulae for calculating auditory-filter bandwidths and excitation patterns J. Acoust. Soc. Am. 74 1983 750 753 (Pubitemid 13019047)
49. B.C.J. Moore, and B.R. Glasberg A revised model of loudness perception applied to cochlear hearing loss Hear. Res. 188 2004 70 88 (Pubitemid 38169242)
50. B.C.J. Moore, D.A. Vickers, C.J. Plack, and A.J. Oxenham Inter-relationship between different psychoacoustic measures assumed to be related to the cochlear active mechanism J. Acoust. Soc. Am. 106 1999 2761 2778
51. E.H. Ng, M. Rudner, T. Lunner, M.S. Pedersen, and J. Rönnberg Effects of noise and working memory capacity on memory processing of speech for hearing-aid users Int. J. Audiol. 52 2013 433 441
52. M. Nilsson, S.D. Soli, and J. Sullivan Development of the hearing in noise test for the measurement of speech reception thresholds in quiet and in noise J. Acoust. Soc. Am. 95 1994 1085 1099 (Pubitemid 24056373)
53. Z.B. Nossair, and S.A. Zahorian Dynamic spectral shape features as acoustic correlates for initial stop consonants J. Acoust. Soc. Am. 89 1991 2978 2991
54. R.D. Patterson, M.H. Allerhand, and C. Giguère Time-domain modeling of peripheral auditory processing: a modular architecture and a software platform J. Acoust. Soc. Am. 98 1995 1890 1894
55. C.V. Pavlovic, G.A. Studebaker, and R.L. Sherbecoe An articulation index based procedure for predicting the speech recognition performance of hearing-impaired individuals J. Acoust. Soc. Am. 80 1986 50 57 (Pubitemid 16061360)
56. Payton, K., Shrestha, M., 2008. Analysis of short-time speech transmission index algorithms. Proc. Acoustics 2008, Paris, pp. 634-638.
57. K.L. Payton, R.M. Uchanski, and L.D. Braida Intelligibility of conversational and clear speech in noise and reverberation for listeners with normal and impaired hearing J. Acoust. Soc. Am. 95 1994 1581 1592 (Pubitemid 24085759)
58. C.J. Plack, and A.J. Oxenham Basilar-membrane nonlinearity estimated by pulsation threshold J. Acoust. Soc. Am. 107 2000 501 507 (Pubitemid 30039174)
59. Quatieri, T.F., and McAulay, R.J., 1986. Speech transformations based on a sinusoidal representation. IEEE Trans. Acoust. Speech and Sig. Proc. ASSP-34, pp. 1449-1464.
60. S. Rosenthal IEEE: recommended practices for speech quality measurements IEEE Trans. Audio Electroacoust. 17 1969 227 246
61. M.B. Sachs, and P.J. Abbas Rate versus level functions for auditory-nerve fibers in cats: tone-burst stimuli J. Acoust. Soc. Am. 56 1974 1835 1847
62. R.V. Shannon, F.-G. Zeng, V. Kamath, J. Wygonski, and M. Ekelid Speech recognition with primarily temporal cues Science 270 1995 303 304
63. J.C. Shaw An introduction to the coherence function and its use in EEG signal analysis J. Med. Eng. Technol. 5 1981 279 288 (Pubitemid 12178980)
64. A. Simpson, A.A. Hersbach, and H.J. McDermott Improvements in speech perception with an experimental nonlinear frequency compression hearing device Int. J. Audiol. 44 2005 281 292 (Pubitemid 40910779)
65. Slaney, M., 1993. An efficient implementation of the Patterson-Holdsworth auditory filter bank. Apple Computer Technical Report #35. Apple Computer Library, Cupertino, CA.
66. Z.M. Smith, B. Delgutte, and A.J. Oxenham Chimaeric sounds reveal dichotomies in auditory perception Nature 416 2002 87 90 (Pubitemid 34215405)
67. P. Souza, and S. Rosen Effects of envelope bandwidth on the intelligibility of sine- and noise-vocoded speech J. Acoust. Soc. Am. 126 2009 792 805
68. P. Souza, K.H. Arehart, J.M. Kates, N.B.H. Croghan, and N. Gehani Exploring the limits of frequency lowering J. Speech Lang. Hear. Res. 56 2013 1349 1363
69. H.J.M. Steeneken, and T. Houtgast A physical method for measuring speech-transmission quality J. Acoust. Soc. Am. 67 1980 318 326 (Pubitemid 10136600)
70. J.H. Steiger Tests for comparing elements of a correlation matrix Psychol. Bull. 87 1980 245 251
71. M.A. Stone, C. Füllgrabe, and B.C.J. Moore Benefit of high-rate envelope cues in vocoder processing: effect of number of channels and spectral region J. Acoust. Soc. Am. 124 2008 2272 2282
72. Y. Suzuki, and H. Takeshima Equal-loudness-level contours for pure tones J. Acoust. Soc. Am. 116 2004 918 933 (Pubitemid 39063182)
73. C.H. Taal, R.C. Hendriks, and R. Heusdens An evaluation of objective measures for intelligibility prediction of time-frequency weighted noisy speech J. Acoust. Soc. Am. 130 2011 3013 3027
74. C.H. Taal, R.C. Hendriks, R. Heusdens, and J. Jensen An algorithm for intelligibility prediction of time-frequency weighted noisy speech IEEE Trans. Audio Speech Lang. Proc. 19 2011 2125 2136
75. D.L. Wang, U. Kjems, M.S. Pedersen, J.B. Boldt, and T. Lunner Speech perception of noise with binary gains J. Acoust. Soc. Am. 124 2008 2303 2307
76. E.J. Williams The comparison of regression variables J. Royal Stat. Soc. Ser. B 21 1959 396 399
77. M. Wojtczak, J.A. Biem, C. Micheyl, and A.J. Oxenham Perception of across-frequency asynchrony and the role of cochlear delay J. Acoust. Soc. Am. 131 2012 363 377
78. G.K. Yates, I.M. Winter, and D. Robertson Basilar membrane nonlinearity determines auditory nerve rate-intensity functions and cochlear dynamic range Hear. Res. 45 1990 203 220
79. S.A. Zahorian, and A.J. Jagharghi Spectral-shape features versus formants as acoustic correlates for vowels J. Acoust. Soc. Am. 94 1993 1966 1982 (Pubitemid 23307657)
80. S.A. Zahorian, and M. Rothenberg Principal-components analysis for low-redundancy encoding of speech spectra J. Acoust. Soc. Am. 69 1981 832 845 (Pubitemid 11109221)
81. X. Zhang, M.G. Heinz, I.C. Bruce, and L.H. Carney A phenomenological model for the response of auditory nerve fibers: I. Nonlinear tuning with compression and suppression J. Acoust. Soc. Am. 109 2001 648 670 (Pubitemid 32144001)
82. M. Zilany, and I. Bruce Modeling auditory-nerve responses for high sound pressure levels in the normal and impaired auditory periphery J. Acoust. Soc. Am. 120 2006 1446 1466 (Pubitemid 44370666)