• 2022 (Vol.36)
  • 1990 (Vol.4)
  • 1989 (Vol.3)
  • 1988 (Vol.2)
  • 1987 (Vol.1)

Discrimination of frequency-amplitude patterns of rippled-spectrum signals with spectraland temporal-processing mechanisms of frequency analysis

© 2019 O. N. Milekhina, D. I. Nechaev, A. Ya. Supina

Institute of Ecology and Evolution, Russian Academy of Sciences, 119071 Moscow, Leninsky prospect, 33, Russia

Received 10 Feb 2019

In normal-hearing listeners, thresholds of spectral ripple depth were measured as a function of ripple density. The test signal had a rippled spectrum with ripple phase reversals very 400 ms. The reference signal has either a rippled spectrum with constant ripple phase or had a flat (non-rippled) spectrum. Each measurement trial included one test and two reference signals, randomly alternated. The goal of the listener was to identify the test signal that differed from the two other (reference) signals. With a rippled-spectrum reference signal, the threshold of spectral ripple depth was 0.11 (dimensionless units) at low ripple densities of 2–3 ripples/oct; the threshold increased with increasing the ripple density and reached the maximum possible value of 1.0 at a density of 8.9 ripples/oct. With a flat-spectrum reference signal, thresholds were nearly the same as for the rippled-spectrum reference signals at ripple densities up to 7 ripples/oct; however, for the flat-spectrum reference signals, threshold rise got slower at higher ripple densities, and trached the maximum possible value of 1.0 at a density of 26 ripples/oct. It is suggested that the difference between results obtained with different reference signals originated from different contributions of the spectral and temporal mechanisms of frequency analysis. At lower ripple densities, discrimination both between two rippled spectra and between rippled and flat spectra proceeds mostly basing on the spectral-processing frequency- discrimination mechanism, whereas at higher ripple densities discrimination between rippled and flat spectra involves the temporal-processing mechanism.

Key words: hearing, rippled spectrum, resolution

DOI: 10.1134/S0235009219030065

Cite: Milekhina O. N., Nechaev D. I., Supina A. Ya. Razlichenie signalov s grebenchatymi spektrami pri uchastii spektralnogo i vremennogo mekhanizmov chastotnogo analiza [Discrimination of frequency-amplitude patterns of rippled-spectrum signals with spectraland temporal-processing mechanisms of frequency analysis]. Sensornye sistemy [Sensory systems]. 2019. V. 33(3). P. 197-203 (in Russian). doi: 10.1134/S0235009219030065


  • Anderson E.S., Nelson D.A., Kreft H., Nelson P.B., Oxenham A.J. Comparing spatial tuning curves, spectral ripple resolution, and speech perception in cochlear implant users. J. Acoust. Soc. Am. 2011. V. 130. P. 364–375.
  • Anderson E.S., Oxenham A.J., Nelson P.B., Nelson D.A. Assessing the role of spectral and intensity cues in spectral ripple detection and discrimination on cochlearimplant users. J. Acoust. Soc. Am. 2012. V. 132. P.3925–3934.
  • Aronoff J.M., Landsberger D.M. The development of a modified spectral ripple test. J. Acoust. Soc. Am. 2013.V. 134. P. EL217–222.
  • Henry B. A., Turner C. W. The resolution of complex spectral patterns by cochlear implant and normal-hearing listeners. J. Acoust. Soc. Am. 2003.V. 113. P. 2861–2873.
  • Henry B.A., Turner C.W., Behrens A. Spectral peak resolution and speech recognition in quiet: Normal hearing, hearing impaired, and cochlear implant listeners. J. Acoust. Soc. Am. 2005. V. 118. P. 1111–1121.
  • Jeon E.K., Turner C.W., Karsten S.A., Henry B.A., Gantz B.J. Cochlear implant users’ spectral ripple resolution. J. Acoust. Soc. Am. 2015.V. 138. P. 2350–2358.
  • Levitt H. Transformed up-down methods in psychoacoustics. J. Acoust. Soc. Am. 1971. V. 49. P. 467–477.
  • Narne V.K., Van Dun B., Bansal S., Prabhu L., Moore B.C.J. Effects of spectral smearing on performance of the spectral ripple and spectro-temporal ripple tests. J.Acoust. Soc. Am. 2016. V. 140 P. 4298–4306.
  • Nechaev D.I., Milekhina O.N., Supin A.Ya. Estimates of ripple-density resolution based on the discrimination from rippled and nonrippled reference signals. Trends Hearing. 2019. V. 23. P. 1–9.
  • Pick G.F., Evans E.F., Wilson J.P. Frequency resolution in patients with hearing loss of cochlear origin. Psychophysics and Physiology of Hearing. Eds Evans E.F., Wilson J.P. Acad. Press, New York.1977. P. 273–282.
  • Saoji A.A., Litvak L., Spahr A.J., Eddins D.A. Spectral modulation detection and vowel and consonant identification in cochlear implant listeners. J. Acoust. Soc. Am. 2009. V. 126. P. 955–958.
  • Summers V., Leek M.R. The internal representation of spectral contrast in hearing-impaired listeners. J. Acoust. Soc. Am. 1994. V. 95. P. 3518–3528.
  • Supin A.Y., Popov V.V., Milekhina O.N., Tarakanov M.B. Ripple depth and density resolution in rippled noise. J.Acoust. Soc. Am. 1999. V. 106. P. 2800–2804.
  • Won J.H., Drennan W.R., Rubinstein J.T. Spectral-ripple resolution correlates with speech reception in noise in cochlear implant users. J. Assoc. Res. Otolaryngol. 2007. V. 8. P. 384–392.
  • Won J.H., Humphrey E.L., Yeager K.R., Martinez A.A., Robinson C.H., Mills K.E., Johnstone P.M., Moon I.J., Woo J. Relationship among the physiologic channel interactions, spectral-ripple discrimination, and vowel identification in cochlear implant users. J. Acoust. Soc. Am. 2014. V. 136. P. 2714–2725.