A psychophysical evaluation of spectral enhancement.

Listeners with sensorineural hearing loss have well-documented elevated hearing thresholds; reduced auditory dynamic ranges; and reduced spectral (or frequency) resolution that may reduce speech intelligibility, especially in the presence of competing sounds. Amplification and amplitude compression partially compensate for elevated thresholds and reduced dynamic ranges but do not remediate the loss in spectral resolution. Spectral-enhancement processing algorithms have been developed that putatively compensate for decreased spectral resolution by increasing the spectral contrast, or the peak-to-trough ratio, of the speech spectrum. Several implementations have been proposed, with mixed success. It is unclear whether the lack of strong success was due to specific implementation parameters or whether the concept of spectral enhancement is fundamentally flawed. The goal of this study was to resolve this ambiguity by testing the effects of spectral enhancement on detection and discrimination of simple, well-defined signals. To that end, groups of normal-hearing (NH) and hearing-impaired (HI) participants listened in 2 psychophysical experiments, including detection and frequency discrimination of narrowband noise signals in the presence of broadband noise. The NH and HI listeners showed an improved ability to detect and discriminate narrowband increments when there were spectral decrements (notches) surrounding the narrowband signals. Spectral enhancements restored increment detection thresholds to within the normal range when both energy and spectral-profile cues were available to listeners. When only spectral-profile cues were available for frequency discrimination tasks, performance improved for HI listeners, but not all HI listeners reached normal levels of discrimination. These results suggest that listeners are able to take advantage of the local improvement in signal-to-noise ratio provided by the spectral decrements.

[1]  D. M. Green,et al.  Frequency discrimination as a function of frequency and sensation level. , 1977, The Journal of the Acoustical Society of America.

[2]  L. Braida,et al.  Towards a model for discrimination of broadband signals. , 1986, The Journal of the Acoustical Society of America.

[3]  Wolfgang Ellermeier Detectability of increments and decrements in spectral profiles , 1996 .

[4]  M. Younger,et al.  Perceptual weighting of relative amplitude and formant transition cues in aided CV syllables. , 2001, Journal of speech, language, and hearing research : JSLHR.

[5]  W A Dreschler,et al.  Evaluation of spectral enhancement in hearing aids, combined with phonemic compression. , 1999, The Journal of the Acoustical Society of America.

[6]  Christian Giguère,et al.  COMPUTATIONAL MODELING OF OUTER HAIR CELL DAMAGE: IMPLICATIONS FOR HEARING AID SIGNAL PROCESSING , 1999 .

[7]  M R Leek,et al.  The internal representation of spectral contrast in hearing-impaired listeners. , 1994, The Journal of the Acoustical Society of America.

[8]  R Plomp,et al.  Auditory handicap of hearing impairment and the limited benefit of hearing aids. , 1978, The Journal of the Acoustical Society of America.

[9]  H. Levitt Transformed up-down methods in psychoacoustics. , 1971, The Journal of the Acoustical Society of America.

[10]  A M Simpson,et al.  Spectral enhancement to improve the intelligibility of speech in noise for hearing-impaired listeners. , 1990, Acta oto-laryngologica. Supplementum.

[11]  M F Dorman,et al.  Minimum spectral contrast for vowel identification by normal-hearing and hearing-impaired listeners. , 1987, The Journal of the Acoustical Society of America.

[12]  P. Woodland,et al.  A computational model of the auditory periphery for speech and hearing research. II. Descending paths. , 1994, The Journal of the Acoustical Society of America.

[13]  C D Geisler The responses of models of "high-spontaneous" auditory-nerve fibers in a damaged cochlea to speech syllables in noise. , 1989, The Journal of the Acoustical Society of America.

[14]  D D Dirks,et al.  Auditory filter characteristics and consonant recognition for hearing-impaired listeners. , 1989, The Journal of the Acoustical Society of America.

[15]  T Houtgast,et al.  A speech enhancement scheme incorporating spectral expansion evaluated with simulated loss of frequency selectivity. , 2002, The Journal of the Acoustical Society of America.

[16]  R. Freyman,et al.  Psychometric functions for frequency discrimination from listeners with sensorineural hearing loss. , 1986, The Journal of the Acoustical Society of America.

[17]  B C Moore,et al.  Spectral contrast enhancement of speech in noise for listeners with sensorineural hearing impairment: effects on intelligibility, quality, and response times. , 1993, Journal of rehabilitation research and development.

[18]  Eric D. Young,et al.  Contrast enhancement improves the representation of /ɛ/-like vowels in the hearing-impaired auditory nerve , 1999 .

[19]  C Giguère,et al.  A computational model of the auditory periphery for speech and hearing research. I. Ascending path. , 1994, The Journal of the Acoustical Society of America.

[20]  M G Heinz,et al.  Masked detection thresholds and temporal integration for noise band signals. , 1994, The Journal of the Acoustical Society of America.

[21]  E D Young,et al.  Discriminability of vowel representations in cat auditory-nerve fibers after acoustic trauma. , 1999, The Journal of the Acoustical Society of America.

[22]  D A Nelson,et al.  Frequency discrimination in regions of normal and impaired sensitivity. , 1982, Journal of speech and hearing research.

[23]  E D Young,et al.  Effects of acoustic trauma on the representation of the vowel "eh" in cat auditory nerve fibers. , 1997, The Journal of the Acoustical Society of America.

[24]  B. Moore,et al.  Frequency discrimination as a function of frequency, measured in several ways. , 1995, The Journal of the Acoustical Society of America.