Abstract

The goal of the study was to enlarge knowledge of discrimination of complex sound signals by the auditory system in masking noise. For that, influence of masking noise on detection of shift of rippled spectrum was studied in normal listeners. The signal was a shift of ripple phase within a 0.5-oct wide rippled spectrum centered at 2 kHz. The ripples were frequency-proportional (throughout the band, ripple spacing was a constant proportion of the ripple center frequency). Simultaneous masker was a 0.5-oct noise below-, on-, or above the signal band. Both the low-frequency (center frequency 1 kHz) and on-frequency (the same center frequency as for the signal) maskers increased the thresholds for detecting ripple phase shift. However, the threshold dependence on the masker level was different for these two maskers. For the on-frequency masker, the masking effect primarily depended on the masker/signal ratio: the threshold steeply increased at a ratio of 5 dB, and no shift was detectable at a ratio of 10 dB. For the low-frequency masker, the masking effect primarily depended on the masker level: the threshold increased at a masker level of 80 dB SPL, and no shift was detectable at a masker level of 90 dB (for a signal level of 50 dB) or 100 dB (for a signal level of 80 dB). The high-frequency masker had little effect. The data were successfully simulated using an excitation-pattern model. In this model, the effect of the on-frequency masker appeared to be primarily due to a decrease of ripple depth. The effect of the low-frequency masker appeared due to widening of the auditory filters at high sound levels.

Highlights

  • IntroductionSpectrum variations in time may be important cues for discrimination spectro-temporal patterns of acoustic stimuli

  • Baseline shift thresholds were measured for signal levels of 50 and 80 dB SPL

  • The effects of on-frequency maskers were examined for signal levels of 50 and 80 dB SPL

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Summary

Introduction

Spectrum variations in time may be important cues for discrimination spectro-temporal patterns of acoustic stimuli. Real-world sounds typically occur simultaneously with other sounds, which might be considered as interfering background noises. It is important to understand how variations in the frequency spectra are detected by the auditory system in background noise. The detection of variations in frequency spectra has been investigated in detail for pure tones, both in quiet and under conditions of background noise. Detection of as small variations of tone frequency as 0.2% has been reported [1]. Subsequent data showed low thresholds for the difference limens for frequency (DLF) and difference limens for change

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