Rapid estimation of high-parameter auditory-filter shapes.

A Bayesian adaptive procedure, the quick-auditory-filter (qAF) procedure, was used to estimate auditory-filter shapes that were asymmetric about their peaks. In three experiments, listeners who were naive to psychoacoustic experiments detected a fixed-level, pure-tone target presented with a spectrally notched noise masker. The qAF procedure adaptively manipulated the masker spectrum level and the position of the masker notch, which was optimized for the efficient estimation of the five parameters of an auditory-filter model. Experiment I demonstrated that the qAF procedure provided a convergent estimate of the auditory-filter shape at 2 kHz within 150 to 200 trials (approximately 15 min to complete) and, for a majority of listeners, excellent test-retest reliability. In experiment II, asymmetric auditory filters were estimated for target frequencies of 1 and 4 kHz and target levels of 30 and 50 dB sound pressure level. The estimated filter shapes were generally consistent with published norms, especially at the low target level. It is known that the auditory-filter estimates are narrower for forward masking than simultaneous masking due to peripheral suppression, a result replicated in experiment III using fewer than 200 qAF trials.

[1]  Stuart Rosen,et al.  Auditory filter nonlinearity across frequency using simultaneous notched-noise masking. , 2006, The Journal of the Acoustical Society of America.

[2]  L E Humes,et al.  Auditory filter shapes in normal-hearing, noise-masked normal, and elderly listeners. , 1993, The Journal of the Acoustical Society of America.

[3]  Alicja N. Malicka,et al.  Fast method for psychophysical tuning curve measurement in school-age children , 2009, International journal of audiology.

[4]  L. Vogten,et al.  Simultaneous pure-tone masking: the dependence of masking asymmetries on intensity. , 1978, The Journal of the Acoustical Society of America.

[5]  Brian C. J. Moore,et al.  Development of a fast method for determining psychophysical tuning curves , 2005 .

[6]  C. Tyler,et al.  Bayesian adaptive estimation of psychometric slope and threshold , 1999, Vision Research.

[7]  T. Irino,et al.  A time-domain, level-dependent auditory filter: The gammachirp , 1997 .

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

[9]  Brian C J Moore,et al.  Development of a fast method for determining psychophysical tuning curves. , 2003, International journal of audiology.

[10]  M S Sommers,et al.  Auditory suppression and frequency selectivity in older and younger adults. , 1998, The Journal of the Acoustical Society of America.

[11]  Brian R Glasberg,et al.  Derivation of auditory filter shapes from notched-noise data , 1990, Hearing Research.

[12]  J. Siegel,et al.  Time-efficient measures of auditory frequency selectivity , 2012, International journal of audiology.

[13]  B A Wright,et al.  Detection of unexpected tones with short and long durations. , 1994, The Journal of the Acoustical Society of America.

[14]  E. de Boer,et al.  Synthetic whole‐nerve action potentials for the cat , 1975 .

[15]  R. Patterson,et al.  The deterioration of hearing with age: frequency selectivity, the critical ratio, the audiogram, and speech threshold. , 1982, The Journal of the Acoustical Society of America.

[16]  Roy D. Patterson,et al.  Assessing syllable strength via an auditory model , 1992 .

[17]  M. Unoki Estimates of auditory filter shapes using simultaneous and forward notched-noise masking , 2005 .

[18]  L. Fahrmeir Posterior Mode Estimation by Extended Kalman Filtering for Multivariate Dynamic Generalized Linear Models , 1992 .

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

[20]  R. Patterson,et al.  Time-domain modeling of peripheral auditory processing: a modular architecture and a software platform. , 1995, The Journal of the Acoustical Society of America.

[21]  E. de Boer,et al.  Synthetic whole-nerve action potentials for the cat. , 1975, The Journal of the Acoustical Society of America.

[22]  Andrew J. Oxenham,et al.  Estimates of Human Cochlear Tuning at Low Levels Using Forward and Simultaneous Masking , 2003, Journal of the Association for Research in Otolaryngology.

[23]  Yi Shen,et al.  Bayesian adaptive estimation of the auditory filter. , 2013, The Journal of the Acoustical Society of America.

[24]  R. Patterson,et al.  Off-frequency listening and auditory-filter asymmetry. , 1980, The Journal of the Acoustical Society of America.

[25]  B C Moore,et al.  The temporal course of masking and the auditory filter shape. , 1987, The Journal of the Acoustical Society of America.

[26]  R. Patterson Auditory filter shapes derived with noise stimuli. , 1976, The Journal of the Acoustical Society of America.

[27]  Masashi Unoki,et al.  Estimates of tuning of auditory filter using simultaneous and forward notched-noise masking , 2007 .

[28]  B. Moore,et al.  Frequency selectivity for frequencies below 100 Hz: comparisons with mid-frequencies. , 2010, The Journal of the Acoustical Society of America.

[29]  S Rosen,et al.  Auditory filter nonlinearity at 2 kHz in normal hearing listeners. , 1998, The Journal of the Acoustical Society of America.