Elsevier

Hearing Research

Volume 34, Issue 2, 15 July 1988, Pages 157-165
Hearing Research

Detection of changes in spectral shape: Uniform vs. non-uniform background spectra

https://doi.org/10.1016/0378-5955(88)90103-7Get rights and content

Abstract

In most of the previous studies [(1987) Profile Analysis: Auditory Intensity Discrimination, Oxford Univ. Press] concerning the detection of a change in spectral shape, or ‘profile analysis’, the listener's task was to detect an increment to a single component pf an otherwise equal-amplitude, multi-component background. We wished to determine whether listeners would exhibit sensitivity to changes in spectral shape if the spectrum of the background were not flat. The results of two experiments, like those of Green and Kidd [(1983) J. Acoust. Soc. Am. 73,1260–1265], indicate that the spectrum of the background can deviate rather substantially from ‘flat’ before detection of the signal becomes more difficult. In a third experiment, we investigated how the function relating the threshold of the signal to the frequency of the signal would vary as the number of components in a flat multi-component background is altered. Our results indicate that as the number of components which compose the background is reduced from 21 to 3, thresholds for increments to the middle region of the spectrum are elevated rather considerably.

References (7)

  • L.R. Bernstein et al.

    Detection of simple and complex changes of spectral shape

    J. Acoust. Soc. Am.

    (1987)
  • L.R. Bernstein et al.

    The profile-analysis bandwidth

    J. Acoust. Soc. Am.

    (1987)
  • D.M. Green

    Profile Analysis: Auditory Intensity Discrimination

    (1987)
There are more references available in the full text version of this article.

Cited by (16)

  • Spectral Processing in the Auditory Cortex

    2005, International Review of Neurobiology
    Citation Excerpt :

    By analogy with the visual system, the processing of a broad spectrum stimulus would, of necessity, entail an integrative stage subsequent to the early stage of frequency decomposition, or ‘filtering’; indeed, this is confirmed by human psychophysical data. Human performance indicates that although some perceptual phenomena reflect early frequency filtering (e.g., simple masking and ‘critical band’ phenomena: Moore, 1995; see Chapter 2), there are conditions that entail more complex stimuli for which peripheral filter models cannot account for performance (e.g., profile analysis: Bernstein and Green, 1987, 1988; Green, 1983, 1986, 1988; O'Connor et al., 2000; Summers and Leek, 1994; auditory scene analysis: Bregman, 1990; O'Connor and Sutter, 2000; comb filtered ripple noise: Yost and Moore, 1987; MDI: Yost and Sheft, 1989; co‐modulation masking release: Hall et al., 1984; see Chapter 10). Under these stimulus conditions, perception of frequency components within a sound is influenced by distant frequency components located far beyond the BW of early frequency filters, demonstrating integration across frequency channels.

  • How do age and hearing loss impact spectral envelope perception?

    2018, Journal of Speech, Language, and Hearing Research
  • Spectral profile cues in comodulation masking release

    2010, Journal of the Acoustical Society of America
View all citing articles on Scopus
View full text