The perception of any given sound is influenced by surrounding sounds. When successive sounds differ in their spectral compositions, these differences may be perceptually magnified, resulting in spectral contrast effects (SCEs). For example, listeners are more likely to perceive /ɪ/ (low F1) following sentences with higher F1 frequencies; listeners are also more likely to perceive /ɛ/ (high F1) following sentences with lower F1 frequencies. Previous research showed that SCEs for vowel categorization were attenuated when sentence contexts were spoken by different talkers [Assgari and Stilp. (2015). J. Acoust. Soc. Am. 138(5), 3023–3032], but the locus of this diminished contextual influence was not specified. Here, three experiments examined implications of variable talker acoustics for SCEs in the categorization of /ɪ/ and /ɛ/. The results showed that SCEs were smaller when the mean fundamental frequency (f0) of context sentences was highly variable across talkers compared to when mean f0 was more consistent, even when talker gender was held constant. In contrast, SCE magnitudes were not influenced by variability in mean F1. These findings suggest that talker variability attenuates SCEs due to diminished consistency of f0 as a contextual influence. Connections between these results and talker normalization are considered.
References
1.
Assgari
, A. A.
(2018
). “Assessing the relationship between talker normalization and spectral contrast effects in speech perception
,” Doctoral dissertation, University of Louisville
, Louisville, Kentucky.2.
Assgari
, A. A.
, and Stilp
, C. E.
(2015
). “Talker information influences spectral contrast effects in speech categorization
,” J. Acoust. Soc. Am.
138
(5
), 3023
–3032
.3.
Assmann
, P. F.
, Nearey
, T. M.
, and Hogan
, J. T.
(1982
). “Vowel identification: Orthographic, perceptual, and acoustic aspects
,” J. Acoust. Soc. Am.
71
(4
), 975
–989
.4.
Bates
, D. M.
, Maechler
, M.
, Bolker
, B.
, and Walker
, S.
(2014
). lme4: Linear mixed-effects models using Eigen and S4. R package version 1
:1-17, https://cran.r-project.org/web/packages/lme4/index.html (Last viewed 3/6/2019).5.
Boersma
, P.
, and Weenink
, D.
(2017
). “Praat: Doing phonetics by computer
” [Computer program]. Version 5.3.61, http://www.praat.org/ (Last viewed January 1, 2014).6.
Bosker
, H. R.
, Reinisch
, E.
, and Sjerps
, M. J.
(2017
). “Cognitive load makes speech sound fast, but does not modulate acoustic context effects
,” J. Mem. Lang.
94
, 166
–176
.7.
Bradlow
, A. R.
, and Pisoni
, D. B.
(1999
). “Recognition of spoken words by native and non-native listeners: Talker-, listener-, and item-related factors
,” J. Acoust. Soc. Am.
106
, 2074
–2085
.8.
Choi
, J. Y.
, Hu
, E. R.
, and Perrachione
, T. K.
(2018
). “Varying acoustic-phonemic ambiguity reveals that talker normalization is obligatory in speech processing
,” Attn., Percept., Psychophys
80
, 784
–797
.9.
Clarke
, C. M.
, and Garrett
, M. F.
(2004
). “Rapid adaptation to foreign-accented English
,” J. Acoust. Soc. Am.
116
(6
), 3647
–3658
.10.
Creelman
, C. D.
(1957
). “Case of the unknown talker
,” J. Acoust. Soc. Am.
29
, 655
.11.
12.
Fourcin
, A.
(1968
). “Speech source inference
,” IEEE Trans. Audio Electroacoust.
16
(1
), 65
–67
.13.
Frazier
, J. F.
, Assgari
, A. A.
, and Stilp
, C. E.
(2019
). “Musical instrument categorization is highly sensitive to spectral properties of earlier sounds
,” Attn., Percept., Psychophys.
(in press).14.
Garofolo
, J.
, Lamel
, L.
, Fisher
, W.
, Fiscus
, J.
, Pallett
, D.
, and Dahlgren
, N.
(1990
). “DARPA TIMIT acoustic-phonetic continuous speech corpus CDROM
,” National Institute of Standards and Technology, NIST Order No. PB91-505065.15.
Geiselman
, R. E.
, and Bellezza
, F. S.
(1976
). “Long-term memory for speaker's voice and source location
,” Memory Cognit.
4
(5
), 483
–489
.16.
Goldinger
, S. D.
(1996
). “Words and voices: Episodic traces in spoken word identification and recognition memory
,” J. Exp. Psychol.
22
(5
), 1166
–1183
.17.
Goldinger
, S. D.
, Pisoni
, D. B.
, and Logan
, J. S.
(1991
). “On the nature of talker variability effects on recall of spoken word lists
,” J. Exp. Psychol.
17
(1
), 152
–162
.18.
Hillenbrand
, J. M.
, and Clark
, M. J.
(2009
). “The role of f0 and formant frequencies in distinguishing the voices of men and women
,” Attn., Percept., Psychophys.
71
(5
), 1150
–1166
.19.
Holt
, L. L.
(2005
). “Temporally nonadjacent nonlinguistic sounds affect speech categorization
,” Psychol. Sci.
16
(4
), 305
–312
.20.
Holt
, L. L.
(2006
). “The mean matters: Effects of statistically defined nonspeech spectral distributions on speech categorization
,” J. Acoust. Soc. Am.
120
(5
), 2801
–2817
.21.
Huang
, J.
, and Holt
, L. L.
(2012
). “Listening for the norm: Adaptive coding in speech categorization
,” Front. Psychol.
3
, 10
.22.
Kluender
, K. R.
, Stilp
, C. E.
, and Kiefte
, M.
(2013
). “Perception of vowel sounds within a biologically realistic model of efficient coding
,” in Vowel Inherent Spectral Change
, edited by G.
Morrison
and P.
Assmann
(Springer
, Berlin
), pp. 117
–151
.23.
Kuznetsova
, A.
, Brockhoff
, P. B.
, and Christensen
, R. H. B.
(2013
). “lmerTest: Tests for random and fixed effects for linear mixed effect models (lmer objects of lme4 package)
,” R package version.24.
Ladefoged
, P.
, and Broadbent
, D. E.
(1957
). “Information conveyed by vowels
,” J. Acoust. Soc. Am.
29
(1
), 98
–104
.25.
Laing
, E. J.
, Liu
, R.
, Lotto
, A. J.
, and Holt
, L. L.
(2012
). “Tuned with a tune: Talker normalization via general auditory processes
,” Front. Psychol.
3
, 203
.26.
Long
, J. A.
(2018
). “jtools: Analysis and presentation of social scientific data
,” R package version 1.1.0, https://cran.r-project.org/web/packages/jtools/index.html (Last viewed 3/6/2019).27.
Lotto
, A. J.
, and Kluender
, K. R.
(1998
). “General contrast effects in speech perception: Effect of preceding liquid on stop consonant identification
,” Attn., Percept., Psychophys.
60
(4
), 602
–619
.28.
Magnuson
, J. S.
, and Nusbaum
, H. C.
(2007
). “Acoustic differences, listener expectations, and the perceptual accommodation of talker variability
,” J. Exp. Psychol.
33
(2
), 391
–409
.29.
Mullennix
, J. W.
, and Pisoni
, D. B.
(1990
). “Stimulus variability and processing dependencies in speech perception
,” Percept. Psychophys.
47
(4
), 379
–390
.30.
Mullennix
, J. W.
, Pisoni
, D. B.
, and Martin
, C. S.
(1989
). “Some effects of talker variability on spoken word recognition
,” J. Acoust. Soc. Am.
85
(1
), 365
–378
.31.
Nygaard
, L. C.
, Sommers
, M. S.
, and Pisoni
, D. B.
(1994
). “Speech perception as a talker-contingent process
,” Psychol. Sci.
5
(1
), 42
–46
.32.
Peterson
, G. E.
, and Barney
, H. L.
(1952
). “Control methods used in a study of the vowels
,” J. Acoust. Soc. Am.
24
, 175
–184
.33.
R Development Core Team
(2018
). “R: A language and environment for statistical computing
,” R Foundation for Statistical Computing, Vienna, http://
www.r-project.org/ (Last viewed 3/6/2019).34.
Rand
, T. C.
(1971
). “Vocal tract size normalization in the perception of stop consonants
,” J. Acoust. Soc. Am.
50
(1A
), 139
.35.
Ryalls
, B. O.
, and Pisoni
, D. B.
(1997
). “The effect of talker variability on word recognition in preschool children
,” Develop. Psychol.
33
(3
), 441
–452
.36.
Sjerps
, M. J.
, Mitterer
, H.
, and McQueen
, J. M.
(2011
). “Constraints on the processes responsible for the extrinsic normalization of vowels
,” Attn., Percept., Psychophys.
73
(4
), 1195
–1215
.37.
Sjerps
, M. J.
, Zhang
, C.
, and Peng
, G.
(2018
). “Lexical tone is perceived relative to locally surrounding context, vowel quality to preceding context
,” J. Exp. Psychol.
44
(6
), 914
–924
.38.
Spahr
, A. J.
, Dorman
, M. F.
, Litvak
, L. M.
, Van Wie
, S.
, Gifford
, R. H.
, Loizou
, P. C.
, and Cook
, S.
(2012
). “Development and validation of the AzBio sentence lists
,” Ear Hear.
33
(1
), 112
–117
.39.
Stilp
, C. E.
(2017
). “Acoustic context alters vowel categorization in perception of noise-vocoded speech
,” J. Assoc. Res. Otolaryngol.
18
(3
), 465
–481
.40.
Stilp
, C. E.
, and Alexander
, J. M.
(2016
). “Spectral contrast effects in vowel categorization by listeners with sensorineural hearing loss
,” Proc. Mtgs. Acoust.
26
, 060003
.41.
Stilp
, C. E.
, Alexander
, J. M.
, Kiefte
, M.
, and Kluender
, K. R.
(2010
). “Auditory color constancy: Calibration to reliable spectral properties across nonspeech context and targets
,” Attn., Percept., Psychophys.
72
(2
), 470
–480
.42.
Stilp
, C. E.
, Anderson
, P. W.
, and Winn
, M. B.
(2015
). “Predicting contrast effects following reliable spectral properties in speech perception
,” J. Acoust. Soc. Am.
137
(6
), 3466
–3476
.43.
Stilp
, C. E.
, and Assgari
, A. A.
(2017
). “Consonant categorization exhibits a graded influence of surrounding spectral context
,” J. Acoust. Soc. Am.
141
(2
), EL153
–EL158
.44.
Stilp
, C. E.
, and Assgari
, A. A.
(2018
). “Perceptual sensitivity to spectral properties in earlier sounds during speech categorization
,” Attn., Percept., Psychophys.
80
(5
), 1300
–1310
.45.
Stilp
, C. E.
, and Assgari
, A. A.
(2019
). “Natural signal statistics shift speech sound categorization
,” Attn., Percept., Psychophys.
(in press).46.
Theodore
, R. M.
, and Miller
, J. L.
(2010
). “Characteristics of listener sensitivity to talker-specific phonetic detail
,” J. Acoust. Soc. Am.
128
(4
), 2090
–2099
.47.
Theodore
, R. M.
, Myers
, E. B.
, and Lomibao
, J. A.
(2015
). “Talker-specific influences on phonetic category structure
,” J. Acoust. Soc. Am.
138
, 1068
–1078
.48.
Watkins
, A. J.
(1991
). “Central, auditory mechanisms of perceptual compensation for spectral-envelope distortion
,” J. Acoust. Soc. Am.
90
(6
), 2942
–2955
.49.
Watkins
, A. J.
, and Makin
, S. J.
(1994
). “Perceptual compensation for speaker differences and for spectral-envelope distortion
,” J. Acoust. Soc. Am.
96
(3
), 1263
–1282
.50.
Winn
, M. B.
, and Litovsky
, R. Y.
(2015
). “Using speech sounds to test functional spectral resolution in listeners with cochlear implants
,” J. Acoust. Soc. Am.
137
(3
), 1430
–1442
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