Literature DB >> 11831806

Binaural detection with narrowband and wideband reproducible noise maskers: I. Results for human.

Mary E Evilsizer1, Robert H Gilkey, Christine R Mason, H Steven Colburn, Laurel H Carney.   

Abstract

This study investigated binaural detection of tonal targets (500 Hz) using sets of individual masker waveforms with two different bandwidths. Previous studies of binaural detection with wideband noise maskers show that responses to individual noise waveforms are correlated between diotic (N0S0) and dichotic (N0S(pi)) conditions [Gilkey et al., J. Acoust. Soc. Am. 78, 1207-1219 (1985)]; however, results for narrowband maskers are not correlated across interaural configurations [Isabelle and Colburn, J. Acoust. Soc. Am. 89, 352-359 (1991)]. This study was designed to allow direct comparison, in detail, of responses across bandwidths and interaural configurations. Subjects were tested on a binaural detection task using both narrowband (100-Hz bandwidth) and wideband (100 Hz to 3 kHz) noise maskers that had identical spectral components in the 100-Hz frequency band surrounding the tone frequency. The results of this study were consistent with the previous studies: N0S0 and N0S(pi) responses were more strongly correlated for wideband maskers than for narrowband maskers. Differences in the results for these two bandwidths suggest that binaural detection is not determined solely by the masker spectrum within the critical band centered on the target frequency, but rather that remote frequencies must be included in the analysis and modeling of binaural detection with wideband maskers. Results across the set of individual noises obtained with the fixed-level testing were comparable to those obtained with a tracking procedure which was similar to the procedure used in a companion study of rabbit subjects [Zheng et al., J. Acoust. Soc. Am. 111, 346-356 (2002)].

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Year:  2002        PMID: 11831806     DOI: 10.1121/1.1423929

Source DB:  PubMed          Journal:  J Acoust Soc Am        ISSN: 0001-4966            Impact factor:   1.840


  12 in total

1.  Interaural fluctuations and the detection of interaural incoherence. IV. The effect of compression on stimulus statistics.

Authors:  Matthew J Goupell
Journal:  J Acoust Soc Am       Date:  2010-12       Impact factor: 1.840

2.  Predictions of diotic tone-in-noise detection based on a nonlinear optimal combination of energy, envelope, and fine-structure cues.

Authors:  Junwen Mao; Azadeh Vosoughi; Laurel H Carney
Journal:  J Acoust Soc Am       Date:  2013-07       Impact factor: 1.840

3.  Sensorineural Hearing Loss Diminishes Use of Temporal Envelope Cues: Evidence From Roving-Level Tone-in-Noise Detection.

Authors:  U-Cheng Leong; Douglas M Schwarz; Kenneth S Henry; Laurel H Carney
Journal:  Ear Hear       Date:  2020 Jul/Aug       Impact factor: 3.570

4.  Diotic and dichotic detection with reproducible chimeric stimuli.

Authors:  Sean A Davidson; Robert H Gilkey; H Steven Colburn; Laurel H Carney
Journal:  J Acoust Soc Am       Date:  2009-10       Impact factor: 1.840

5.  An evaluation of models for diotic and dichotic detection in reproducible noises.

Authors:  Sean A Davidson; Robert H Gilkey; H Steven Colburn; Laurel H Carney
Journal:  J Acoust Soc Am       Date:  2009-10       Impact factor: 1.840

6.  Cues for Diotic and Dichotic Detection of a 500-Hz Tone in Noise Vary with Hearing Loss.

Authors:  Junwen Mao; Kelly-Jo Koch; Karen A Doherty; Laurel H Carney
Journal:  J Assoc Res Otolaryngol       Date:  2015-05-15

7.  Tone-in-noise detection using envelope cues: comparison of signal-processing-based and physiological models.

Authors:  Junwen Mao; Laurel H Carney
Journal:  J Assoc Res Otolaryngol       Date:  2014-09-30

8.  Binaural detection with narrowband and wideband reproducible noise maskers. IV. Models using interaural time, level, and envelope differences.

Authors:  Junwen Mao; Laurel H Carney
Journal:  J Acoust Soc Am       Date:  2014-02       Impact factor: 1.840

9.  Detection of tones in reproducible noise maskers by rabbits and comparison to detection by humans.

Authors:  Yan Gai; Laurel H Carney; Kristina S Abrams; Fabio Idrobo; J Michael Harrison; Robert H Gilkey
Journal:  J Assoc Res Otolaryngol       Date:  2007-09-25

10.  Identifying cues for tone-in-noise detection using decision variable correlation in the budgerigar (Melopsittacus undulatus).

Authors:  Kenneth S Henry; Kassidy N Amburgey; Kristina S Abrams; Laurel H Carney
Journal:  J Acoust Soc Am       Date:  2020-02       Impact factor: 1.840

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