Asymmetry of masking between noise and iterated rippled noise: evidence for time-interval processing in the auditory system.

This study describes the masking asymmetry between noise and iterated rippled noise (IRN) as a function of spectral region and the IRN delay. Masking asymmetry refers to the fact that noise masks IRN much more effectively than IRN masks noise, even when the stimuli occupy the same spectral region. Detection thresholds for IRN masked by noise and for noise masked by IRN were measured with an adaptive two-alternative, forced choice (2AFC) procedure with signal level as the adaptive parameter. Masker level was randomly varied within a 10-dB range in order to reduce the salience of loudness as a cue for detection. The stimuli were filtered into frequency bands, 2.2-kHz wide, with lower cutoff frequencies ranging from 0.8 to 6.4 kHz. IRN was generated with 16 iterations and with varying delays. The reciprocal of the delay was 16, 32, 64, or 128 Hz. When the reciprocal of the IRN delay was within the pitch range, i.e., above 30 Hz, there was a substantial masking asymmetry between IRN and noise for all filter cutoff frequencies; threshold for IRN masked by noise was about 10 dB larger than threshold for noise masked by IRN. For the 16-Hz IRN, the masking asymmetry decreased progressively with increasing filter cutoff frequency, from about 9 dB for the lowest cutoff frequency to less than 1 dB for the highest cutoff frequency. This suggests that masking asymmetry may be determined by different cues for delays within and below the pitch range. The fact that masking asymmetry exists for conditions that combine very long IRN delays with very high filter cutoff frequencies means that it is unlikely that models based on the excitation patterns of the stimuli would be successful in explaining the threshold data. A range of time-domain models of auditory processing that focus on the time intervals in phase-locked neural activity patterns is reviewed. Most of these models were successful in accounting for the basic masking asymmetry between IRN and noise for conditions within the pitch range, and one of the models produced an exceptionally good fit to the data.

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

[2]  R. Meddis Simulation of mechanical to neural transduction in the auditory receptor. , 1986, The Journal of the Acoustical Society of America.

[3]  Roy D. Patterson,et al.  The relative strength of the tone and noise components in iterated rippled noise , 1996 .

[4]  R. Patterson,et al.  The lower limit of melodic pitch. , 2001, The Journal of the Acoustical Society of America.

[5]  W. Yost Pitch strength of iterated rippled noise. , 1996, The Journal of the Acoustical Society of America.

[6]  Brian C. J. Moore,et al.  Overshoot and the ‘‘severe departure’’ from Weber’s law , 1995 .

[7]  L. Carney,et al.  Frequency glides in the impulse responses of auditory-nerve fibers. , 1999 .

[8]  W A Yost,et al.  The role of the envelope in processing iterated rippled noise. , 1998, 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]  Richard J. Baker,et al.  An efficient characterisation of human auditory filtering across level and frequency that is physiologically reasonable , 1998 .

[11]  Brian C. J. Moore,et al.  Formulae describing frequency selectivity as a function of frequency and level, and their use in calculating excitation patterns , 1987, Hearing Research.

[12]  L. Carney,et al.  A phenomenological model for the responses of auditory-nerve fibers: I. Nonlinear tuning with compression and suppression. , 2001, The Journal of the Acoustical Society of America.

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

[14]  R D Patterson,et al.  Modeling temporal asymmetry in the auditory system. , 1998, The Journal of the Acoustical Society of America.

[15]  Roy D. Patterson,et al.  The sound of a sinusoid: Spectral models , 1994 .

[16]  R D Patterson,et al.  Stimulus variability and auditory filter shape. , 1977, The Journal of the Acoustical Society of America.

[17]  Joseph L. Hall,et al.  Asymmetry of masking revisited: Generalization of masker and probe bandwidth , 1997 .

[18]  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.

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

[20]  R. Meddis,et al.  A unitary model of pitch perception. , 1997, The Journal of the Acoustical Society of America.

[21]  M A Akeroyd,et al.  A comparison of detection and discrimination of temporal asymmetry in amplitude modulation. , 1997, The Journal of the Acoustical Society of America.

[22]  J. Allen,et al.  Cochlear micromechanics--a physical model of transduction. , 1980, The Journal of the Acoustical Society of America.

[23]  R. Patterson,et al.  Complex Sounds and Auditory Images , 1992 .

[24]  Ray Meddis,et al.  Virtual pitch and phase sensitivity of a computer model of the auditory periphery , 1991 .

[25]  W A Yost,et al.  The perceptual tone/noise ratio of merged iterated rippled noises. , 2000, The Journal of the Acoustical Society of America.

[26]  W. Yost Strength of the pitches associated with ripple noise. , 1978, The Journal of the Acoustical Society of America.

[27]  Richard F. Lyon,et al.  A perceptual pitch detector , 1990, International Conference on Acoustics, Speech, and Signal Processing.

[28]  L. Carney,et al.  Temporal coding of resonances by low-frequency auditory nerve fibers: single-fiber responses and a population model. , 1988, Journal of neurophysiology.

[29]  W A Yost,et al.  A time domain description for the pitch strength of iterated rippled noise. , 1996, The Journal of the Acoustical Society of America.

[30]  Roy D. Patterson,et al.  Discrimination of wideband noises modulated by a temporally asymmetric function , 1995 .

[31]  R. Patterson,et al.  The lower limit of pitch as determined by rate discrimination. , 2000, The Journal of the Acoustical Society of America.

[32]  Richard J. Baker,et al.  Characterising auditory filter nonlinearity , 1994, Hearing Research.

[33]  B. Moore,et al.  Frequency selectivity as a function of level and frequency measured with uniformly exciting notched noise. , 2000, The Journal of the Acoustical Society of America.

[34]  T. F. Weiss,et al.  Stages of degradation of timing information in the cochlea: A comparison of hair-cell and nerve-fiber responses in the alligator lizard , 1988, Hearing Research.

[35]  R Meddis,et al.  An evaluation of eight computer models of mammalian inner hair-cell function. , 1991, The Journal of the Acoustical Society of America.

[36]  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.

[37]  T. Irino,et al.  A compressive gammachirp auditory filter for both physiological and psychophysical data. , 2001, The Journal of the Acoustical Society of America.

[38]  R. Hellman Asymmetry of masking between noise and tone , 1972 .

[39]  Roy D. Patterson,et al.  The sound of a sinusoid: Time‐interval models , 1994 .

[40]  R. Carlyon,et al.  The role of resolved and unresolved harmonics in pitch perception and frequency modulation discrimination. , 1994, The Journal of the Acoustical Society of America.