{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,21]],"date-time":"2025-12-21T06:25:08Z","timestamp":1766298308046},"reference-count":30,"publisher":"Institute of Electronics, Information and Communications Engineers (IEICE)","issue":"2","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEICE Trans. Inf. & Syst."],"published-print":{"date-parts":[[2019,2,1]]},"DOI":"10.1587\/transinf.2018edp7293","type":"journal-article","created":{"date-parts":[[2019,1,31]],"date-time":"2019-01-31T17:45:17Z","timestamp":1548956717000},"page":"383-391","source":"Crossref","is-referenced-by-count":3,"title":["Neural Oscillation-Based Classification of Japanese Spoken Sentences During Speech Perception"],"prefix":"10.1587","volume":"E102.D","author":[{"given":"Hiroki","family":"WATANABE","sequence":"first","affiliation":[{"name":"Nara Institute of Science and Technology"}]},{"given":"Hiroki","family":"TANAKA","sequence":"additional","affiliation":[{"name":"Nara Institute of Science and Technology"}]},{"given":"Sakriani","family":"SAKTI","sequence":"additional","affiliation":[{"name":"Nara Institute of Science and Technology"},{"name":"RIKEN, Center for Advanced Intelligence Project AIP"}]},{"given":"Satoshi","family":"NAKAMURA","sequence":"additional","affiliation":[{"name":"Nara Institute of Science and Technology"}]}],"member":"532","reference":[{"key":"1","doi-asserted-by":"crossref","unstructured":"[1] J.R. Wolpaw and E.W. Wolpaw, eds., Brain-computer interfaces: principles and practice, Oxford University Press, New York, 2012.","DOI":"10.1093\/acprof:oso\/9780195388855.001.0001"},{"key":"2","doi-asserted-by":"crossref","unstructured":"[2] L.A. Farwell and E. Donchin, \u201cTalking off the top of your head: toward a mental prosthesis utilizing event-related brain potentials,\u201d Electroencephalography and clinical Neurophysiology, vol.70, no.6, pp.510-523, 1988. 10.1016\/0013-4694(88)90149-6","DOI":"10.1016\/0013-4694(88)90149-6"},{"key":"3","doi-asserted-by":"publisher","unstructured":"[3] J.S. Brumberg, A. Nieto-Castanon, P.R. Kennedy, and F.H. Guenther, \u201cBrain-computer interfaces for speech communication,\u201d Speech Communication, vol.52, no.4, pp.367-379, 2010. 10.1016\/j.specom.2010.01.001","DOI":"10.1016\/j.specom.2010.01.001"},{"key":"4","doi-asserted-by":"crossref","unstructured":"[4] P. Suppes, Z.-L. Lu, and B. Han, \u201cBrain wave recognition of words,\u201d In Proceedings of the National Academy of Sciences, vol.94, no.26, pp.14965-14969, 1997. 10.1073\/pnas.94.26.14965","DOI":"10.1073\/pnas.94.26.14965"},{"key":"5","doi-asserted-by":"crossref","unstructured":"[5] J.M. Correia, B. Jansma, L. Hausfeld, S. Kikkert, and M. Bonte, \u201cEEG decoding of spoken words in bilingual listeners: from words to language invariant semantic-conceptual representations,\u201d Frontiers in Psychology, vol.6, no.71, pp.1-10, 2015. 10.3389\/fpsyg.2015.00071","DOI":"10.3389\/fpsyg.2015.00071"},{"key":"6","doi-asserted-by":"crossref","unstructured":"[6] P. Suppes, B. Han, and Z.-L. Lu, \u201cBrain-wave recognition of sentences,\u201d In Proceedings of the National Academy of Sciences, vol.95, no.26, pp.15861-15866, 1998. 10.1073\/pnas.95.26.15861","DOI":"10.1073\/pnas.95.26.15861"},{"key":"7","doi-asserted-by":"publisher","unstructured":"[7] H. Luo and D. Poeppel, \u201cPhase patterns of neuronal responses reliably discriminate speech in human auditory cortex,\u201d Neuron, vol.54, no.6, pp.1001-1010, 2007. 10.1016\/j.neuron.2007.06.004","DOI":"10.1016\/j.neuron.2007.06.004"},{"key":"8","doi-asserted-by":"publisher","unstructured":"[8] M.F. Howard and D. Poeppel, \u201cDiscrimination of speech stimuli based on neuronal response phase patterns depends on acoustics but not comprehension,\u201d Journal of neurophysiology, vol.104, no.5, pp.2500-2511, 2010. 10.1152\/jn.00251.2010","DOI":"10.1152\/jn.00251.2010"},{"key":"9","doi-asserted-by":"publisher","unstructured":"[9] C.S. DaSalla, H. Kambara, M. Sato, and Y. Koike, \u201cSingle-trial classification of vowel speech imagery using common spatial patterns,\u201d Neural Networks, vol.22, no.9, pp.1334-1339, 2009. 10.1016\/j.neunet.2009.05.008","DOI":"10.1016\/j.neunet.2009.05.008"},{"key":"10","unstructured":"[10] X. Chi, J.B. Hagedorn, D. Schoonover, and M. D'Zmura, \u201cEEG-based discrimination of imagined speech phonemes,\u201d International Journal of Bioelectromagnetism, vol.13, no.4, pp.201-206, 2011."},{"key":"11","doi-asserted-by":"crossref","unstructured":"[11] M. D'Zmura, S. Deng, T. Lappas, S. Thorpe, and R. Srinivasan, \u201cToward EEG sensing of imagined speech,\u201d In Human-Computer Interaction, New Trends, Springer, Berlin, Heidelberg, vol.5610, pp.40-48, 2009. 10.1007\/978-3-642-02574-7_5","DOI":"10.1007\/978-3-642-02574-7_5"},{"key":"12","doi-asserted-by":"crossref","unstructured":"[12] K. Brigham and B.V.K.V. Kumar, \u201cImagined speech classification with EEG signals for silent communication: a preliminary investigation into synthetic telepathy,\u201d In Proceedings of International Conference on Bioinformatics and Biomedical Engineering, pp.1-4, 2010. 10.1109\/icbbe.2010.5515807","DOI":"10.1109\/ICBBE.2010.5515807"},{"key":"13","doi-asserted-by":"crossref","unstructured":"[13] J.E. Peelle and M.H. Davis, \u201cNeural oscillations carry speech rhythm through to comprehension,\u201d Frontiers in Pyschology, vol.3, no.320, pp.1-17, 2012. 10.3389\/fpsyg.2012.00320","DOI":"10.3389\/fpsyg.2012.00320"},{"key":"14","doi-asserted-by":"publisher","unstructured":"[14] A.M. Chan, E. Halgren, K. Marinkovic, and S.S. Cash, \u201cDecoding word and category-specific spatiotemporal representations from MEG and EEG,\u201d Neuroimage, vol.54, no.4, pp.3028-3039, 2011. 10.1016\/j.neuroimage.2010.10.073","DOI":"10.1016\/j.neuroimage.2010.10.073"},{"key":"15","doi-asserted-by":"crossref","unstructured":"[15] H. Watanabe, H. Tanaka, S. Sakti, and S. Nakamura, \u201cSubject-independent classification of Japanese spoken sentences by multiple frequency bands phase pattern of EEG response during speech perception,\u201d In Proceedings of Interspeech, Stockholm, Sweden, pp.2431-2435, 2017. 10.21437\/interspeech.2017-854","DOI":"10.21437\/Interspeech.2017-854"},{"key":"16","doi-asserted-by":"publisher","unstructured":"[16] J.R. Kerlin, A.J. Shahin, and L.M. Miller, \u201cAttentional gain control of ongoing cortical speech representations in a \u201ccocktail party\u201d,\u201d The Journal of Neuroscience, vol.30, no.2, pp.620-628, 2010. 10.1523\/jneurosci.3631-09.2010","DOI":"10.1523\/JNEUROSCI.3631-09.2010"},{"key":"17","doi-asserted-by":"publisher","unstructured":"[17] F. Lotte, M. Congedo, A. L\u00e9cuyer, F. Lamarche, and B. Arnaldi, \u201cA review of classification algorithms for EEG-based brain-computer interfaces,\u201d Journal of neural engineering, vol.4, no.2, pp.1-24, 2007. 10.1088\/1741-2560\/4\/2\/r01","DOI":"10.1088\/1741-2560\/4\/2\/R01"},{"key":"18","doi-asserted-by":"publisher","unstructured":"[18] D. Poeppel, \u201cThe analysis of speech in different temporal integration windows: cerebral lateralization as \u2018asymmetric sampling in time\u2019,\u201d Speech Communication, vol.41, no.1, pp.245-255, 2003. 10.1016\/s0167-6393(02)00107-3","DOI":"10.1016\/S0167-6393(02)00107-3"},{"key":"19","doi-asserted-by":"crossref","unstructured":"[19] H. Luo and D. Poeppel, \u201cCortical oscillations in auditory perception and speech: evidence for two temporal windows in human auditory cortex,\u201d Frontiers in Psychology, vol.3, no.170, pp.1-10, 2012. 10.3389\/fpsyg.2012.00170","DOI":"10.3389\/fpsyg.2012.00170"},{"key":"20","doi-asserted-by":"crossref","unstructured":"[20] R.C. Oldfield, \u201cThe assessment and analysis of handedness: The Edinburgh inventory,\u201d Neuropsychologia, vol.9, no.1, pp.97-113, 1971. 10.1016\/0028-3932(71)90067-4","DOI":"10.1016\/0028-3932(71)90067-4"},{"key":"21","doi-asserted-by":"publisher","unstructured":"[21] R. Oostenveld, P. Fries, E. Maris, and J.-M. Schoffelen, \u201cFieldTrip: open source software for advanced analysis of MEG, EEG, and invasive electrophysiological data,\u201d Computational intelligence and neuroscience, vol.2011, pp.1-9, 2011. 10.1155\/2011\/156869","DOI":"10.1155\/2011\/156869"},{"key":"22","unstructured":"[22] F. Pedregosa, G. Varoquaux, A. Gramfort, V. Michel, B. Thirion, O. Grisel, M. Blondel, P. Prettenhofer, R. Weiss, V. Dubourg, J. Vanderplas, A. Passos, D. Cournapeau, M. Brucher, M. Perrot, and E. Duchesnay, \u201cScikit-learn: Machine Learning in Python,\u201d Journal of Machine Learning Research, vol.12, pp.2825-2830, 2011."},{"key":"23","doi-asserted-by":"publisher","unstructured":"[23] E. Maris, J.-M. Schoffelen, and P. Fries, \u201cNonparametric statistical testing of coherence differences,\u201d Journal of Neuroscience Methods, vol.163, no.1, pp.161-175, 2007. 10.1016\/j.jneumeth.2007.02.011","DOI":"10.1016\/j.jneumeth.2007.02.011"},{"key":"24","unstructured":"[24] R Core Team, R: A language and environment for statistical computing, R Foundation for Statistical Computing, Vienna, Austria, 2018."},{"key":"25","doi-asserted-by":"crossref","unstructured":"[25] D. Bates, M. M\u00e4chler, B. Bolker, and S. Walker, \u201cFitting linear mixed-effects models using lme4,\u201d Journal of Statistical Software, vol.67, no.1, pp.1-48, 2015. 10.18637\/jss.v067.i01","DOI":"10.18637\/jss.v067.i01"},{"key":"26","unstructured":"[26] J. Fox and S. Weisberg, An R companion to applied regression, 2nd ed., Sage, Thousand Oaks CA, 2011."},{"key":"27","doi-asserted-by":"publisher","unstructured":"[27] T. Hothorn, F. Bretz, and P. Westfall, \u201cSimultaneous inference in general parametric models,\u201d Biometrical Journal, vol.50, no.3, pp.346-363, 2008. 10.1002\/bimj.200810425","DOI":"10.1002\/bimj.200810425"},{"key":"28","doi-asserted-by":"crossref","unstructured":"[28] L. Meyer, M.J. Henry, P. Gaston, N. Schmuck, and A.D. Friederici, \u201cLinguistic bias modulates interpretation of speech via neural delta-band oscillations,\u201d Cerebral Cortex, vol.27, no.9, pp.4293-4302, 2016. 10.1093\/cercor\/bhw228","DOI":"10.1093\/cercor\/bhw228"},{"key":"29","doi-asserted-by":"publisher","unstructured":"[29] N. Ding, L. Melloni, H. Zhang, X. Tian, and D. Poeppel, \u201cCortical tracking of hierarchical linguistic structures in connected speech,\u201d Nature neuroscience, vol.19, no.1, pp.158-164, 2016. 10.1038\/nn.4186","DOI":"10.1038\/nn.4186"},{"key":"30","doi-asserted-by":"publisher","unstructured":"[30] M. Bourguignon, X.D. Ti\u00e8ge, M.O. de Beeck, N. Ligot, P. Paquier, P.V. Bogaert, S. Goldman, R. Hari, and V. Jousm\u00e4ki, \u201cThe pace of prosodic phrasing couples the listener's cortex to the reader's voice,\u201d Human brain mapping, vol.34, no.2, pp.314-326, 2013. 10.1002\/hbm.21442","DOI":"10.1002\/hbm.21442"}],"container-title":["IEICE Transactions on Information and Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.jstage.jst.go.jp\/article\/transinf\/E102.D\/2\/E102.D_2018EDP7293\/_pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,11,15]],"date-time":"2019-11-15T15:47:32Z","timestamp":1573832852000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.jstage.jst.go.jp\/article\/transinf\/E102.D\/2\/E102.D_2018EDP7293\/_article"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,2,1]]},"references-count":30,"journal-issue":{"issue":"2","published-print":{"date-parts":[[2019]]}},"URL":"https:\/\/doi.org\/10.1587\/transinf.2018edp7293","relation":{},"ISSN":["0916-8532","1745-1361"],"issn-type":[{"value":"0916-8532","type":"print"},{"value":"1745-1361","type":"electronic"}],"subject":[],"published":{"date-parts":[[2019,2,1]]}}}