Acoustic-driven delta rhythms as prosodic markers

References

• Ahissar, E., & Ahissar, M. (2005). Processing of the temporal envelope of speech. In R. Konig, P. Heil, E. Bundinger, & H. Scheich (Eds.), The auditory cortex. A synthesis of human and animal research (pp. 295–313, Chap. 18). London: Lawrence Erlbaum.
   Google Scholar
• Ahissar, E., Haidarliu, S., & Zacksenhouse, M. (1997). Decoding temporally encoded sensory input by cortical oscillations and thalamic phase comparators. Proceedings of the National Academy of Sciences of the United States of America, 94, 11633–11638. doi: 10.1073/pnas.94.21.11633
   PubMed Web of Science ®Google Scholar
• Baddeley, A. (2010). Working memory. Current Biology, 20(4), R136–R140. doi: 10.1016/j.cub.2009.12.014
   PubMed Web of Science ®Google Scholar
• Boucher, V. J. (2006). On the function of stress rhythms in speech: Evidence of a link with grouping effects on serial memory. Language and Speech, 49(4), 495–519. doi: 10.1177/00238309060490040301
   PubMed Web of Science ®Google Scholar
• Buiatti, M., Peña, M., & Dehaene-Lambertz, G. (2009). Investigating the neural correlates of continuous speech computation with frequency-tagged neuroelectric responses. NeuroImage, 44, 509–519. doi:10.1016/j.neuroimage.2008.09.015
   PubMed Web of Science ®Google Scholar
• Buzsaki, G., Logothetis, N., & Singer, W. (2013). Scaling brain size, keeping timing: Evolutionary preservation of brain rhythms. Neuron, 80(3), 751–764. doi: 10.1016/j.neuron.2013.10.002
   PubMed Web of Science ®Google Scholar
• Chen, Z., & Cowan, N. (2005). Chunk limits and length limits in immediate recall: A reconciliation. Journal of Experimental Psychology: Learning, Memory and Cognition, 31(6), 1235–1249.
   PubMed Web of Science ®Google Scholar
• Cowan, N. (1984). On short and long auditory stores. Psychological Bulletin, 96, 341–370. doi: 10.1037/0033-2909.96.2.341
   PubMed Web of Science ®Google Scholar
• Cutler, A. (1994). The perception of rhythm in language. Cognition, 50, 79–81. doi: 10.1016/0010-0277(94)90021-3
   PubMed Web of Science ®Google Scholar
• Cutler, A. (2012). Native listening: Language experience and the recognition of spoken words. Cambridge, MA: MIT Press.
   Google Scholar
• Ding, N., Melloni, L., Zhang, H., Tian, X., & Poeppel, D. (2015). Cortical tracking of hierarchical linguistic structures in connected speech. Nature Neuroscience, 19(1), 158–164. doi:10.1038/nn.4186
   PubMed Web of Science ®Google Scholar
• Ding, N., & Simon, J. Z. (2009). Neural representations of complex temporal modulations in the human auditory cortex. Journal of Neurophysiology, 102(5), 2731–2743. doi: 10.1152/jn.00523.2009
   PubMed Web of Science ®Google Scholar
• Doelling, K. B., Arnal, L. H., Ghitza, O., & Poeppel, D. (2014). Acoustic landmarks drive delta-theta oscillations to enable speech comprehension by facilitating perceptual segmentation. NeuroImage, 85, 761–768. doi:10.1016/j.neuroimage.2013.06.035
   PubMed Web of Science ®Google Scholar
• Gelman, A. (2005). Analysis of variance – why it is more important than ever. The Annals of Statistics, 33(1), 1–53. doi: 10.1214/009053604000001048
   Web of Science ®Google Scholar
• Gelman, A., & Hill, J. (2007). Data analysis using regression and multilevel/hierarchical models. New-York, NY: Cambridge University Press.
   Google Scholar
• Ghitza, O. (2011). Linking speech perception and neurophysiology: Speech decoding guided by cascaded oscillators locked to the input rhythm. Frontiers in Psychology, 2, 130. doi:10.3389/fpsyg.2011.00130
   PubMed Web of Science ®Google Scholar
• Ghitza, O. (2012). On the role of theta-driven syllabic parsing in decoding speech: Intelligibility of speech with a manipulated modulation spectrum. Frontiers in Psychology, 3, 238. doi:10.3389/fpsyg.2012.00238
   PubMed Web of Science ®Google Scholar
• Ghitza, O. (2013). The theta-syllable: A unit of speech information defined by cortical function. Frontiers in Psychology, 4, 138. doi:10.3389/fpsyg.2013.00138
   PubMed Web of Science ®Google Scholar
• Ghitza, O. (2014). Behavioral evidence for the role of cortical theta oscillations in determining auditory channel capacity for speech. Frontiers in Psychology, 5, 652. doi:10.3389/fpsyg.2014.00652
   PubMed Web of Science ®Google Scholar
• Ghitza, O., & 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. doi:10.1159/000208934
   PubMed Web of Science ®Google Scholar
• Gilbert, A. C., Boucher, V. J., & Jemel, B. (2014). Perceptual chunking and its effect on memory in speech processing: ERP and behavioral evidence. Frontiers in Psychology, 5(220), 1–9.
   PubMedGoogle Scholar
• Gilbert, A. C., Boucher, V. J., & Jemel, B. (2015). The perceptual chunking of speech: A demonstration using ERPs. Brain Research, 1603, 101–113. doi: 10.1016/j.brainres.2015.01.032
   PubMed Web of Science ®Google Scholar
• Giraud, A.-L., & Poeppel, D. (2012). Cortical oscillations and speech processing: Emerging computational principles and operations. Nature Neuroscience, 15(4), 511–517. doi:10.1038/nn.3063
   PubMed Web of Science ®Google Scholar
• Hyafil, A., Fontolan, L., Kabdebon, C., Gutkin, B., & Giraud, A.-L. (2015). Speech encoding by coupled cortical theta and gamma oscillations. eLife, 4, e06213. doi:10.7554/eLife.06213
   PubMed Web of Science ®Google Scholar
• Lakatos, P., Shah, A. S., Knuth, K. H., Ulbert, I., Karmos, G., Mehta, A. D., Ulbert, I., & Schroeder, C. E. (2005). An oscillatory hierarchy controlling neuronal excitability and stimulus processing in the auditory cortex. Journal of Neurophysiology, 94, 1904–1911. doi: 10.1152/jn.00263.2005
   PubMed Web of Science ®Google Scholar
• Liberman, M. (2016a). Political sound and silence. Language Log. Feb 8. Retrieved from http://languagelog.ldc.upenn.edu/nll/?p=23990
   Google Scholar
• Liberman, M. (2016b). Poetic sound and silence. Language Log. Feb 12. Retrieved from http://languagelog.ldc.upenn.edu/nll/?p=24054
   Google Scholar
• Luce, P. A., & McLennan, C. (2005). Spoken word recognition: The challenge of variation. In D. B. Pisoni & R. E. Remez (Eds.), The handbook of speech perception (pp. 591–609). Malden, MA: Blackwell.
   Google Scholar
• Marslen-Wilson, W. D. (1987). Functional parallelism in spoken word-recognition. Cognition, 25, 71–102. doi: 10.1016/0010-0277(87)90005-9
   PubMed Web of Science ®Google Scholar
• Marslen-Wilson, W. D., & Welsh, A. (1978). Processing interactions during word recognition in continuous speech. Cognition, 10, 487–509.
   Google Scholar
• Martin, P. (2012). Neurophysiological research explains prosodic structures constraints. Revista De Estudos Da Linguagem, Belo Horizonte, 20(2), 13–22. doi:10.17851/2237-2083.20.2.13-22
   Google Scholar
• Maybery, M. T., Permentier, F. B. R., & Jones, D. M. (2002). Grouping of list items reflected in the timing of recall: Implications for models of serial verbal memory. Journal of Memory and Language, 47(3), 360–385. doi: 10.1016/S0749-596X(02)00014-1
   Web of Science ®Google Scholar
• Miller, G. A. (1956). The magical number seven, plus or minus two: Some limits on our capacity for processing information. Psychological Review, 63, 81–97. doi: 10.1037/h0043158
   PubMed Web of Science ®Google Scholar
• Miller, G. A. (1962). Decision units in the perception of speech. IRE Transactions on Information Theory, (Feb.), 81–83. doi: 10.1109/TIT.1962.1057697
   Web of Science ®Google Scholar
• Moulines, E., & Charpentier, F. (1990). Pitch-synchronous waveform processing techniques for text-to-speech synthesis using diphones. Speech Communication, 9, 453–467. doi: 10.1016/0167-6393(90)90021-Z
   Web of Science ®Google Scholar
• Peelle, J. E., & Davis, M. H. (2012). Neural oscillations carry speech rhythm through to comprehension. Frontiers in Language Science, 3, 320. doi:10.3389/fpsyg.2012.00320
   PubMed Web of Science ®Google Scholar
• Pickett, J. M., & Pollack, I. (1963). Intelligibility of excerpts from fluent speech: Effects of rate of utterance and duration of execrpt. Language and Speech, 6, 151–164.
   Web of Science ®Google Scholar
• Poeppel, D. (2003). The analysis of speech in different temporal integration windows: Cerebral lateralization as asymmetric sampling in time. Speech Communication, 41, 245–255. doi:10.1016/S0167-6393(02)00107-3
   Web of Science ®Google Scholar
• Reeves, C., Schauder, A. R., & Morris, R. K. (2000). Stress grouping improves performance on an immediate serial list recall task. Journal of Experimental Psychology: Learning, Memory, and Cognition, 26(6), 1638–1654.
   PubMed Web of Science ®Google Scholar
• Ryan, J. (1969). Grouping and short-term memory: Different means and patterns of grouping. Quarterly Journal of Experimental Psychology, 21(2), 137–147. doi: 10.1080/14640746908400206
   PubMed Web of Science ®Google Scholar
• Ryant, N., & Liberman, M. (2016, September 8–12). Automatic analysis of phonetic speech style dimensions. Interspeech, pp. 77–81, San Francisco, CA. doi: 10.21437/Interspeech.2016-1355
   Google Scholar
• Sternberg, S. (1966). High-speed scanning in human memory. Science, 153, 652–654. doi:10.1126/science.153.3736.652
   PubMed Web of Science ®Google Scholar
• Stevens, K. (2005). Features in speech perception and lexical access. In D. B. Pisoni & R. E. Remez (Eds.), The handbook of speech perception (pp. 125–155). Malden, MA: Blackwell.
   Google Scholar
• Vagharchakian, L., Dehaene-Lambertz, G., Pallier, C., & Dehaene, S. (2012). A temporal bottleneck in the language comprehension network. Journal of Neuroscience, 32(26), 9089–9102. doi: 10.1523/JNEUROSCI.5685-11.2012
   PubMed Web of Science ®Google Scholar
• Viterbi, A. J. (1966). Principles of coherent communication. New York, NY: McGraw-Hill.
   Google Scholar
• Wickelgren, W. A. (1964). Size of rehearsal group and short-term memory. Journal of Experimental Psychology, 68, 413–419. doi: 10.1037/h0043584
   PubMedGoogle Scholar
• Zacksenhouse, M., & Ahissar, E. (2006). Temporal decoding by phase-locked loops: Unique features of circuit-level implementations and their significance for vibrissal information processing. Neural Computation, 18, 1611–1636. doi: 10.1162/neco.2006.18.7.1611
   PubMed Web of Science ®Google Scholar