Neural oscillations carry speech rhythm through to comprehension

Frontiers in Psychology

Volumn 3, Issue SEP, 2012, Pages

  Peelle, Jonathan E ^a   Davis, Matthew H ^b  

^a UNIVERSITY OF PENNSYLVANIA   (United States)

^b MRC COGNITION AND BRAIN SCIENCES UNIT   (United Kingdom)

Author keywords

Intelligibility; Language; Oscillations; Phase locking; Speech comprehension; Speech rate; Theta

Indexed keywords

EID: 84867045877     PISSN: None     EISSN: 16641078     Source Type: Journal    
DOI: 10.3389/fpsyg.2012.00320     Document Type: Review

References (136)

1. Abercrombie, D. (1967). Elements of General Phonetics. Chicago: Aldine. Ahissar, E., Nagarajan, S., Ahissar, M., Protopapas, A., Mahncke, H., and Merzenich, M. M. (2001). Speech comprehension is correlated with temporal response patterns recorded from auditory cortex. Proc. Natl. Acad. Sci. U.S.A. 98, 13367-13372.
2. Arnal, L. H., and Giraud, A.-L. (2012). Cortical oscillations and sensory predictions. Trends Cogn. Sci. 16, 390-398.
3. Baer, T., and Moore, B. C. J. (1993). Effects of spectral smearing on the intelligibility of sentences in noise. J. Acoust. Soc. Am. 94, 1229-1241.
4. Belin, P., Zilbovicius, M., Crozier, S., Thivard, L., Fontaine, A., Masure, M.-C., and Samson, Y. (1998). Lateralization of speech and auditory temporal processing. J. Cogn. Neu- rosci. 10, 536-540.
5. Belluscio, M. A., Mizuseki, K., Schmidt, R., Kempter, R., and Buzsáki, G. (2012). Cross-frequency phasephase coupling between theta and gamma oscillations in the hippocampus. J. Neurosci. 32, 423-435.
6. Bemis, D. K., and Pylkkänen, L. (2011). Simple composition: a magnetoencephalography investigation into the comprehension of minimal linguistic phrases. J. Neurosci. 31, 2801-2814.
7. Besle, J., Schevon, C. A., Mehta, A. D., Lakatos, P., Goodman, R. R., McKhann, G. M., Emerson, R. G., and Schroeder, C. E. (2011). Tuning of the human neocortex to the temporal dynamics of attended events. J. Neurosci. 31, 3176-3185.
8. Bishop, G. H. (1932). Cyclic changes in excitability of the optic pathway of the rabbit. Am. J. Physiol. 103, 213-224.
9. Boemio, A., Fromm, S., Braun, A., and Poeppel, D. (2005). Hierarchical and asymmetric temporal sensitivity in human auditory cortices. Nat. Neu- rosci. 8, 389-395.
10. Brennan, J., and Pylkkänen, L. (2012). The time-course and spatial distribution of brain activity associated with sentence processing. Neuroim- age 60, 1139-1148.
11. Brown, M., Salverda, A. P., Dilley, L. C., and Tanenhaus, M. K. (2011). Expectations from preceding prosody influence segmentation in online sentence processing. Psychon. Bull. Rev. 18, 1189-1196.
12. Buchsbaum, B. R., Olsen, R. K., Koch, P., and Berman, K. F. (2005). Human dorsal and ventral auditory streams subserve rehearsalbased and echoic processes during verbal working memory. Neuron 48, 687-697.
13. Burgess, N., Barry, C., and O'Keefe, J. (2007). An oscillatory interference model of grid cell firing. Hippocam- pus 17, 801-812.
14. Busch, N. A., Dubois, J., and VanRullen, R. (2009). The phase of ongoing EEG oscillations predicts visual perception. J. Neurosci. 29, 7869-7876.
15. Buzsáki, G., and Draguhn, A. (2004). Neuronal oscillations in cortical networks. Science 304, 1926-1929.
16. Canolty, R. T., Edwards, E., Dalal, S. S., Soltani, M., Nagarajan, S. S., Kirsch, H. E., Berger, M. S., Barbaro, N. M., and Knight, R. T. (2006). High gamma power is phase-locked to theta oscillations in human neocortex. Science 313, 1626-1628.
17. Canolty, R. T., and Knight, R. T. (2010). The functional role of crossfrequency coupling. Trends Cogn. Sci. 14, 506-515.
18. Chandrasekaran, C., Trubanova, A., Stillittano, S., Caplier, A., and Ghazanfar, A. A. (2009). The natural statistics of audiovisual speech. PLoS Comput. Biol. 5, e1000436. doi:10.1371/journal.pcbi.1000436
19. Cherry, E. C., and Taylor, W. K. (1954). Some further experiments upon the recognition of speech, with one and with two ears. J. Acoust. Soc. Am. 26, 554-559.
20. Chi, T., Gao, Y., Guyton, M. C., Ru, P., and Shamma, S. (1999). Spectrotemporal modulation transfer functions and speech intelligibility. J. Acoust. Soc. Am. 106, 2719-2732.
21. Cummins, F. (2003). Practice and performance in speech produced synchronously. J. Phonetics 31, 139-148.
22. Cummins, F. (2009). Rhythm as entrainment: the case of synchronous speech. J. Phonetics 37, 16-28.
23. Cummins, F. (2011). Periodic and aperiodic synchronization in skilled action. Front. Hum. Neurosci. 5:170. doi:10.3389/fnhum.2011.00170
24. Cummins, F., and Port, R. (1998). Rhythmic constraints on stress timing in English. J. Phonetics 26, 145-171.
25. Dauer, R. M. (1983). Stress-timing and syllable-timing reanalyzed. J. Pho- netics 11, 51-62.
26. Davis, M. H., Ford, M. A., Kherif, F., and Johnsrude, I. S. (2011). Does semantic context benefit speech understanding through "top-down" processes? Evidence from timeresolved sparse fMRI. J. Cogn. Neu- rosci. 23, 3914-3932.
27. Davis, M. H., and Johnsrude, I. S. (2003). Hierarchical processing in spoken language comprehension. J. Neurosci. 23, 3423-3431.
28. Davis, M. H., and Johnsrude, I. S. (2007). Hearing speech sounds: topdown influences on the interface between audition and speech perception. Hear. Res. 229, 132-147.
29. Davis, M. H., Johnsrude, I. S., Hervais-Adelman, A., Taylor, K., and McGettigan, C. (2005). Lexical information drives perceptual learning of distorted speech: evidence from the comprehension of noise-vocoded sentences. J. Exp. Psychol. Gen. 134, 222-241.
30. Davis, M. H., Marslen-Wilson, W. D., and Gaskell, M. G. (2002). Leading up the lexical garden path: segmentation and ambiguity in spoken word recognition. J. Exp. Psychol. Hum. Percept. Perform. 28, 218-244.
31. Dilley, L. C., Mattys, S. L., and Vinke, L. (2010). Potent prosody: comparing the effects of distal prosody, proximal prosody, and semantic context on word segmentation. J. Mem. Lang. 63, 274-294.
32. Dilley, L. C., and McAuley, J. D. (2008). Distal prosodic context affects word segmentation and lexical processing. J. Mem. Lang. 59, 294-311.
33. Dilley, L. C., and Pitt, M. A. (2010). Altering context speech rate can cause words to appear and disappear. Psychol. Sci. 21, 1664-1670.
34. Drullman, R., Festen, J. M., and Plomp, R. (1994a). Effect of reducing slow temporal modulations on speech reception. J. Acoust. Soc. Am. 95, 2670-2680.
35. Drullman, R., Festen, J. M., and Plomp, R. (1994b). Effect of temporal envelope smearing on speech reception. J. Acoust. Soc. Am. 95, 1053-1064.
36. Elliott, T. M., and Theunissen, F. E. (2009). The modulation transfer function for speech intelligibility. PLoS Comp. Biol. 5, e1000302. doi:10.1371/journal.pcbi.1000302
37. Engel, A. K., Fries, P., and Singer, W. (2001). Dynamic predictions: oscillations and synchrony in topdown processing. Nat. Neurosci. 2, 704-716.
38. Fries, P. (2005). A mechanism for cognitive dynamics: neuronal communication through neuronal coherence. Trends Cogn. Sci. 9, 474-480.
39. Ganong, W. F. (1980). Phonetic categorization in auditory word perception. J. Exp. Psychol. Hum. Percept. Perform. 6, 110-125.
40. Gee, J. P., and Grosjean, F. (1984). Empirical evidence for narrative structure. Cogn. Sci. 8, 59-85.
41. Ghitza, O. (2011). Linking speech perception and neurophysiology: speech decoding guided by cascaded oscillators locked to the input rhythm. Front. Psychol. 2:130. doi:10.3389/fpsyg.2011.00130
42. Ghitza, O. (2012). On the role of theta-driven syllabic parsing in decoding speech: intelligibility of speech with a manipulated modulation spectrum. Front. Psychol. 3:1. doi:10.3389/fpsyg.2012.00238
43. Ghitza, O., and Greenberg, S. (2009). On the possible role of brain rhythms in speech perception: intelligibility of time-compressed speech with periodic and aperiodic insertions of silence. Phonetica 66, 113-126.
44. Giraud, A.-L., Kleinschmidt, A., Poeppel, D., Lund, T. E., Frackowiak, R. S. J., and Laufs, H. (2007). Endogenous cortical rhythms determins cerebral specialization for speech perception and production. Neuron 56, 1127-1134.
45. Giraud, A.-L., Lorenzi, C., Ashburner, J., Wable, J., Johnsrude, I., Frackowiak, R., and Kleinschmidt, A. (2000). Representation of the temporal envelope of sounds in the human brain. J. Neurophysiol. 84, 1588-1598.
46. Giraud, A.-L., and Poeppel, D. (2012). Cortical oscillations and speech processing: emerging computational principles and operations. Nat. Neu- rosci. 15, 511-517.
47. Golumbic, E. M. Z., Poeppel, D., and Schroeder, C. E. (2012). Temporal context in speech processing and attentional stream selection: a behavioral and neural perspective. Brain Lang. 122, 151-161.
48. Gomez-Ramirez, M., Kelly, S. P., Molholm, S., Sehatpour, P., Schwartz, T. H., and Foxe, J. J. (2011). Oscillatory sensory selection mechanisms during intersensory attention to rhythmic auditory and visual inputs: a human electrocorticographic investigation. J. Neurosci. 31, 18556-18567.
49. Grahn, J. A. (2009). The role of the basal ganglia in beat perception. Ann. N.Y. Acad. Sci. 1169, 35-45.
50. Grahn, J. A., and Rowe, J. B. (in press). Finding and feeling the musical beat: striatal dissociations between detection and prediction of regularity. Cereb. Cortex.
51. Greenberg, S. (1999). Speaking in shorthand - a syllable-centric perspective for understanding pronunciation variation. Speech Commun. 29, 159-176.
52. Griffiths, T. D., Buchel, C., Frackowiak, R. S., and Patterson, R. D. (1998). Analysis of temporal structure in sound by the human brain. Nat. Neurosci. 1, 422-427.
53. Hart, H. C., Palmer, A. R., and Hall, D.A. (2003). Amplitude and frequencymodulated stimuli activate common regions of human auditory cortex. Cereb. Cortex 13, 773-781.
54. Hartley, T. (2002). "Syllabic Phase: a bottom-up representation of the structure of speech," in 7th Neural Computation and Psychology Work- shop, eds J. Bullinaria and W. Lowe (Singapore: World Scientific), 277-288.
55. He, B. J., Zempel, J. M., Snyder, A. Z., and Raichle, M. E. (2010). The temporal structures and functional significance of scale-free brain activity. Neuron 66, 353-369
56. Hertrich, I., Dietrich, S., Moos, A., Trouvain, J., and Ackermann, H. (2009). Enhanced speech perception capabilities in a blind listeners are associated with activation of fusiform gyrus and primary visual cortex. Neurocase 15, 163-170.
57. Hertrich, I., Dietrich, S., Trouvain, J., Moos, A., and Ackernann, H. (2012). Magnetic brain activity phase-locked to the envelope, the syllable onsets, and the fundamental frequency of a perceived speech signal. Psychophysiology 49, 322-334.
58. Hickok, G., and Poeppel, D. (2007). The cortical organization of speech processing. Nat. Rev. Neurosci. 8, 393-402.
59. Holt, L. L. (2005). Temporally nonadjacent nonlinguistic sounds affect speech categorization. Psychol. Sci. 16, 305-312.
60. Howard, M. F., and Poeppel, D. (2010). Discrimination of speech stimuli based on neuronal response phase patterns depends on acoustics but not comprehension. J. Neurophysiol. 2010, 2500-2511.
61. Huggins, A. W. F. (1964). Distortion of the temporal pattern of speech: interruption and alternation. J. Acoust. Soc. Am. 36, 1055-1064.
62. Humphries, C., Binder, J. R., Medler, D. A., and Liebenthal, E. (2006). Syntactic and semantic modulation of neural activity during auditory sentence comprehension. J. Cogn. Neurosci. 18, 665-679.
63. Irino, T., and Patterson, R. D. (1996). Temporal asymmetry in the auditory system. J. Acoust. Soc. Am. 99, 2316-2331.
64. Jensen, O., and Colgin, L. L. (2007). Cross-frequency coupling between neuronal oscillations. Trends Cogn. Sci. 11, 267-269.
65. Kalm, K., Davis, M. H., and Norris, D. (2012). Neural mechanisms underlying the grouping effect in shortterm memory. Hum. Brain Mapp. 33, 1634-1647.
66. Kerlin, J. R., Shahin, A. J., and Miller, L. M. (2010). Attentional gain control of ongoing cortical speech representations in a "cocktail party." J. Neurosci. 30, 620-628.
67. Kiss, M., Cristescu, T., Fink, M., and Wittman, M. (2008). Auditory language comprehension of temporally reversed speech signals in native and non-native speakers. Acta Neurobiol. Exp. (Wars) 68, 204-213.
68. Kotz, S. A., and Schwartze, M. (2010). Cortical speech processing unplugged: a timely subcorticocortical framework.Trends Cogn. Sci. 14, 392-399.
69. Lakatos, P., Chen, C.-M., O'Connell, M. N., Mills, A., and Schroeder, C. E. (2007). Neuronal oscillations and multisensory interaction in primary auditory cortex. Neuron 53, 279-292.
70. Lakatos, P., Karmos, G., Mehta, A. D., Ulbert, I., and Schroeder, C. E. (2008). Entrainment of neuronal oscillations as a mechanism of attentional selection. Science 320, 110-113.
71. Lakatos, P., Shah, A. S., Knuth, K. H., Ulbert, I., Karmos, G., and Schroeder, C. E. (2005). An oscillatory hierarchy controlling neuronal excitability and stimulus processing in the auditory cortex. J. Neurophys- iol. 94, 1904-1911.
72. Lalor, E. C., and Foxe, J. J. (2010). Neural responses to uninterrupted natural speech can be extracted with precise temporal resolution. Eur. J. Neurosci. 31, 189-193.
73. Lehiste, I. (1977). Isochrony reconsidered. J. Phonetics 5, 253-263.
74. Liberman, A. M., Harris, K. S., Kinney, J. A., and Lane, H. (1961). The discrimination of relative onsettime of the components of certain speech and non-speech patterns. J. Exp. Psychol. 61, 379-388.
75. Lisker, L., and Abramson, A. S. (1964). A cross-language study of voicing in initial stops: acoustical measurements. Word 20, 384-422.
76. Luo, H., and Poeppel, D. (2007). Phase patterns of neuronal responses
77. Luo, H., and Poeppel, D. (2012). Cortical oscillations in auditory perception and speech: evidence for two temporal windows. Front. Psychol. 3:170. doi:10.3389/fpsyg.2012.00170
78. MacNeilage, P. F. (1998). The frame/content theory of evolution of speech production. Behav. Brain Sci. 21, 499-546.
79. Makeig, S., Westerfield, M., Jung, T.-P., Enghoff, S., Townsent, J., Courchesne, E., and Sejnowski, T. J. (2002). Dynamic brain sources of visual evoked responses. Science 295, 690-694.
80. McGettigan, C., Evans, S., Agnew, Z., Shah, P., and Scott, S. K. (2012). An application of univariate and multivariate approaches in fMRI to quantifying the hemispheric lateralization of acoustic and linguistic processes. J. Cogn. Neurosci. 24, 636-652.
81. McGettigan, C., and Scott, S. K. (2012). Cortical asymmetries in speech perception: what's wrong, what's right and what's left? Trends Cogn. Sci. 16, 269-276.
82. Miller, G. A., and Licklider, J. C. R. (1950). The intelligibility of interrupted speech. J. Acoust. Soc. Am. 22, 167-173.
83. Miller, J. L. (1981). "Effects of speaking rate on segmental distinctions," in Perspectives on the Study of Speech, eds P. D. Eimas and J. L. Miller (Hillsdale: Erlbaum), 39-74.
84. Miller, J. L., Aibel, I. L., and Green, K. (1984). On the nature of rate-dependent processing during phonetic perception. Percept. Psy- chophys. 35, 5-15
85. Miller, J. L., O'Rourke, T. B., andVolaitis, L. E. (1997). Internal structure of phonetic categories: effects of speaking rate. Phonetica 54, 121-137.
86. Mitzdorf, U. (1985). Current sourcedensity method and application in cat cerebral cortex: investigation of evoked potentials and EEG phenomena. Physiol. Rev. 65, 37-100.
87. Morais, J., Cary, L., Alegria, J., and Bertelson, P. (1979). Does awareness of speech as a sequence of phones arise spontaneously? Cognition 7, 323-331.
88. Morillon, B., Lehongre, K., Frackowiak, R. S. J., Ducorps, A., Kleinschmidt, A., Poeppel, D., and Giraud, A.-L. (2010). Neurophysiological origin of human brain asymmetry for speech and language. Proc. Natl. Acad. Sci. U.S.A. 107, 18688-18693
89. Narain, C., Scott, S. K., Wise, R. J. S., Rosen, S., Leff, A., Iversen, S. D., and Matthews, P. M. (2003). Defining a left-lateralized response specific to intelligible speech using fMRI. Cereb. Cortex 13, 1362-1368.
90. Nelson, P. B., and Jin, S.-H. (2004). Factors affecting speech understanding in gated interference: cochlear implant users and normal-hearing listeners. J. Acoust. Soc. Am. 115, 2286-2294.
91. Noppeney, U., and Price, C. J. (2003). An fMRI study of syntactic adaptation. J. Cogn. Neurosci. 16, 702-713.
92. Nourski, K. V., Reale, R. A., Oya, H., Kawasaki, H., Kovach, C. K., Chen, H., Howard, M. A. III, and Brugge, J. F. (2009). Temporal envelope of time-compressed speech represented in the human auditory cortex. J. Neurosci. 29, 15564-15574.
93. Obleser, J., Eisner, F., and Kotz, S. A. (2008). Bilateral speech comprehension reflects differential sensitivity to spectral and temporal features. J. Neurosci. 28, 8116-8124.
94. Okada, K., Rong, F., Venezia, J., Matchin, W., Hsich, I.-H., Saberi, K., Serrences, J. T., and Hickok, G. (2010). Hierarchical organization of human auditory cortex: evidence from acoustic invariance in the response to intelligible speech. Cereb. Cortex 20, 2486-2495.
95. Overath, T., Zhang, Y., Sanes, D. H., and Poeppel, D. (in press). Sensitivity to temporal modulation rate, and spectral bandwidth in the human auditory system: (fMRI) evidence. J. Neurophysiol.
96. Pallier, C., Devauchelle, A.-D., and Dehaene, S. (2011). Cortical representation of the constituent structure of sentences. Proc. Natl. Acad. Sci. U.S.A. 108, 2522-2527.
97. Peelle, J. E., Eason, R. J., Schmitter, S., Schwarzbauer, C., and Davis, M. H. (2010a). Evaluating an acoustically quiet EPI sequence for use in fMRI studies of speech and auditory processing. Neuroimage 52, 1410-1419.
98. Peelle, J. E., Johnsrude, I. S., and Davis, M. H. (2010b). Hierarchical processing for speech in human auditory cortex and beyond. Front. Hum. Neurosci. 4:51. doi:10.3389/fnhum.2010.00051
99. Peelle, J. E., Gross, J., and Davis, M. H. (in press). Phase-locked responses to speech in human auditory cortex are enhanced during comprehension. Cereb. Cortex. doi: 10.1093/cercor/bhs118
100. Peelle, J. E., and Wingfield, A. (2005). Dissociations in perceptual learning revealed by adult age differences in adaptation to time-compressed speech. J. Exp. Psychol. Hum. Percept. Perform. 31, 1315-1330.
101. Pike, K. L. (1945). The Intonation of American English. Ann Arbor: University of Michigan Press.
102. Poeppel, D. (2003). The analysis of speech in different temporal integration windows: cerebral lateralization as 'asymmetric sampling in time'. Speech Commun. 41, 245-255.
103. Port, R. F. (1979). The influence of tempo on stop closure duration as a cue for voicing and place. J. Phonetics 7, 45-56.
104. Power, A. J., Lalor, E. C., and Reilly, R. B. (2011). Endogenous auditory spatial attention modulates obligatory sensory activity in auditory cortex. Cereb. Cortex 21, 1223-1230.
105. Rauschecker, J. P., and Scott, S. K. (2009). Maps and streams in the auditory cortex: nonhuman primates illuminate human speech processing. Nat. Neurosci. 12, 718-724.
106. Rizzuto, D. S., Madsen, J. R., Bromfield, E. B., Schulze-Bonhage, A., Seelig, D., Ashenbrenner-Scheibe, R., and Kahana, M. J. (2003). Reset of human neocortical oscillations during a working memory task. Proc. Natl. Acad. Sci. U.S.A. 100, 7931-7936.
107. Rodd, J. M., Davis, M. H., and Johnsrude, I. S. (2005). The neural mechanisms of speech comprehension: fMRI studies of semantic ambiguity. Cereb. Cortex 15, 1261-1269.
108. Rodd, J. M., Longe, O. A., Randall, B., and Tyler, L. K. (2010). The functional organisation of the fronto-temporal language system: evidence from syntactic and semantic ambiguity. Neuropsychologia 48, 1324-1335.
109. Romei, V., Gross, J., and Thut, G. (2010). On the role of prestimulus alpha rhythms over occipito-parietal areas in visual input regulation: correlation or causation? J. Neurosci. 30, 8692-8697.
110. Rosen, S., Wise, R. J. S., Chadha, S., Conway, E.-J., and Scott, S. K. (2011). Hemispheric asymmetries in speech perception: sense, nonsense and modulations. PLoS ONE 6, e24672. doi:10.1371/journal.pone.0024672
111. Saberi, K., and Perrott, D. R. (1999). Cognitive restoration of reversed speech. Nature 398, 760.
112. Salverda, A. P., Dahan, D., and McQueen, J. M. (2003). The role of prosodic boundaries in the resolution of lexical embedding in speech comprehension. Cognition 90, 51-89.
113. Salverda, A. P., Dahan, D., Tanenhaus, M. K., Crosswhite, K., Masharov, M., and McDonough, J. (2007). Effects of prosodically modulated subphonetic variation on lexical competition. Cognition 105, 466-476.
114. Saoud, H., Josse, G., Bertasi, E., Truy, E., Chait, M., and Giraud, A.-L. (2012). Brain-speech alignment enhances auditory cortical responses and speech perception. J. Neurosci. 32, 275-281.
115. Schroeder, C. E., and Lakatos, P. (2009). Low-frequency neuronaloscillations as instruments of sensory selection. Trends Neurosci. 32, 9-18.
116. Schroeder, C. E., Wilson, D. A., Radman, T., Scharfman, H., and Lakatos, P. (2010). Dynamics of active sensing and perceptual selection. Curr. Opin. Neurobiol. 20, 172-176.
117. Schwartze, M., Keller, P. E., Patel, A. D., and Kotz, S. A. (2011). The impact of basal ganglia lesions on sensorimotor synchronization, spontaneous motor tempo, and the detection of tempo changes. Behav. Brain Res. 216, 685-691.
118. Schwartze, M., Tavano, A., Schröger, E., and Kotz, S. A. (2012). Temporal aspects of prediction in audition: cortical and subcortical neural mechanisms. Int. J. Psychophysiol. 83, 200-207.
119. Scott, S. K., Blank, C. C., Rosen, S., and Wise, R. J. S. (2000). Identification of a pathway for intelligible speech in the left temporal lobe. Brain 123, 2400-2406.
120. Shannon, R. V., Zeng, F.-G., Kamath, V., Wygonski, J., and Ekelid, M. (1995). Speech recognition with primarily temporal cues. Science 270, 303-304.
121. Shtyrov, Y., Pihko, E., and Pulvermüller, F. (2005). Determinants of dominance: is language laterality explained by physical or linguistic features of speech? Neuroimage 27, 37-47.
122. Smith, Z. M., Delbutte, B., and Oxenham, A. J. (2002). Chimaeric sounds reveal dichotomies in auditory perception. Nature 416, 87-90
123. Stahl, B., Kotz, S. A., Henseler, I., Turner, R., and Geyer, S. (2011). Rhythm in disguise: why singing may not hold the key to recovery from aphasia. Brain 134, 3083-3093.
124. Stewart, R., Yetton, E., and Wingfield, A. (2008). Perception of alternated speech operates similarly in young and older adults with agenormal hearing. Percept. Psychophys. 70, 337-345.
125. Stilp, C. E., Kiefte, M., Alexander, J. M., and Kluender, K. R. (2010). Cochlea-scaled spectral entropy predicts rate-invariant intelligibility of temporally distorted
126. Summerfield, Q. (1981). Articulatory rate and perceptual constancy in phonetic perception. J. Exp. Psy- chol. Hum. Percept. Perform. 7, 1074-1095.
127. Suppes, P., Han, B., Epelboim, J., and Lu, Z.-L. (1999). Invariance between subjects of brain wave representations of language. Proc. Natl. Acad. Sci. U.S.A. 96, 12953-12958.
128. Suppes, P., Han, B., and Lu, Z.-L. (1998). Brain-wave recognition of sentences. Proc. Natl. Acad. Sci. U.S.A. 95, 15861-15866.
129. Suppes, P., Lu, Z.-L., and Han, B. (1997). Brain wave recognition of words. Proc. Natl. Acad. Sci. U.S.A. 94, 14965-14969.
130. Swerts, M., and Geluykens, R. (1994). Prosody as a marker of information flow in spoken discourse. Lang. Speech 37, 21-43.
131. Thierry, G., Giraud, A. L., and Price, C. J. (2003). Hemispheric dissociation in access to the human semantic system. Neuron 38, 499-506.
132. Turner, R. E., and Sahani, M. (2011). Demodulation as probabilistic inference. IEEE Trans. Audio Speech Lang. Processing 19, 2398-2411.
133. Wang, X., and Humes, L. E. (2010). Factors influencing recognition of interrupted speech. J. Acoust. Soc. Am. 128, 2100-2111.
134. Wingfield, A., and Wheale, J. L. (1975). Word rate and intelligibility of alternated speech. Percept. Psy- chophys. 18, 317-320.
135. Womelsdorf, T., Fries, P., Mitra, P. P., and Desimone, R. (2006). Gamma-band synchronization in visual cortex predicts speed of change detection. Nature 439, 733-736.
136. Womelsdorf, T., Schoffelen, J.-M., Oostenveld, R., Singer, W., Desimone, R., Engel, A. K., and Fries, P. (2007). Modulation of neuronal interactions through neuronal synchronization. Science 316, 1609-1612.