Disentangling the Effects of Matching Content and Simultaneous Speech on Phonetic Adaptation

References

• Amin, T. B., German, J. S., & Marziliano, P. (2013). Detecting voice disguise from speech variability: Analysis of three glottal and vocal tract measures. Proceedings of Meetings on Acoustics, 20, 060005.
   Google Scholar
• Anikin, A., Dong, Y., & Yu, X. (2018). Soundgen: An open-source tool for synthesizing nonverbal vocalizations. Behavior Research Methods, 50(1), 1–15. https://doi.org/https://doi.org/10.3758/s13428-017-1001-8
   Google Scholar
• Awan, S. N., & Frenkel, M. L. (1994). Improvements in estimating the harmonics-to-noise ratio of the voice. Journal of Voice, 8(3), 255–262. https://doi.org/https://doi.org/10.1016/S0892-1997(05)80297-8
   Google Scholar
• Babel, M., & Bulatov, D. (2012). The role of fundamental frequency in phonetic accommodation. Language and Speech, 55(2), 231–248. https://doi.org/https://doi.org/10.1177/0023830911417695
   PubMed Web of Science ®Google Scholar
• Banakou, D., & Slater, M. (2014). Body ownership causes illusory self-attribution of speaking and influences subsequent real speaking. Proceedings of the National Academy of Sciences, 111(49), 17678–17683. https://doi.org/https://doi.org/10.1073/pnas.1414936111
   PubMed Web of Science ®Google Scholar
• Bates, D., Maechler, M., Bolker, B., & Walker, S. (2015). Fitting Linear Mixed-Effects Models Using lme4. Journal of Statistical Software 67 1 1–48 doi:https://doi.org/https://doi.org/10.18637/jss.v067.i01 . http://CRANR-projectorg/package=lme4
   Web of Science ®Google Scholar
• Belin, P., Fecteau, S., & Bedard, C. (2004). Thinking the voice: Neural correlates of voiceperception. Trends in Cognitive Sciences, 8(3), 129–135. https://doi.org/https://doi.org/10.1016/j.tics.2004.01.008
   PubMed Web of Science ®Google Scholar
• Blanche, E. I., Reinoso, G., Chang, M. C., & Bodison, S. (2012). Proprioceptive processing difficulties among children with autism spectrum disorders and developmental disabilities. The American Journal of Occupational Therapy, 66(5), 621–624. https://doi.org/https://doi.org/10.5014/ajot.2012.004234
   Google Scholar
• Borrie, S. A., Barrett, T. S., Willi, M. M., & Berisha, V. (2019). Syncing up for a good conversation: A clinically meaningful methodology for capturing conversational entrainment in the speech domain. Journal of Speech, Language, and Hearing Research, 62(2), 283–296. https://doi.org/https://doi.org/10.1044/2018_JSLHR-S-18-0210
   Google Scholar
• Botvinick, M., & Cohen, J. (1998). Rubber hands ‘feel’ touch that eyes see. Nature, 391(6669), 756. https://doi.org/https://doi.org/10.1038/35784
   PubMed Web of Science ®Google Scholar
• Bradshaw, A. R., McGettigan, C., & Kempe, V. (2021). Convergence in voice fundamental frequency during synchronous speech. PloS One, 16(10), e0258747. https://doi.org/https://doi.org/10.1371/journal.pone.0258747
   PubMed Web of Science ®Google Scholar
• Brener J, Ring C and Liu X. (1994). Effects of data limitations on heartbeat detection in the method of constant stimuli. Psychophysiology, 31(3), 309–312. https://doi.org/https://doi.org/10.1111/j.1469-8986.1994.tb02219.x
   Google Scholar
• Broekens, J., & Brinkman, W.-P. (2013). Affectbutton: A method for reliable and valid affective self-report. International Journal of Human-Computer Studies, 71(6), 641–667. https://doi.org/https://doi.org/10.1016/j.ijhcs.2013.02.003
   Web of Science ®Google Scholar
• Brysbaert, M., & Stevens, M. (2018). Power analysis and effect size in mixed effects models: A tutorial. Journal of Cognition, 1(1 9). https://doi.org/https://doi.org/10.5334/joc.10
   PubMedGoogle Scholar
• Burnett, T. A., Senner, J. E., & Larson, C. R. (1997). Voice f0 responses to pitch-shifted auditory feedback: A preliminary study. Journal of Voice, 11(2), 202{211. https://doi.org/https://doi.org/10.1016/S0892-1997(97)80079-3
   Google Scholar
• Chistovich, L., Fant, G., de Serpa-Leitao, A., & Tjernlund, P. (1966). Mimicking of synthetic vowels (Quarterly Progress and Status Report, Speech Transmission Lab). Royal Institute of Technology, 2, 1–18.
   Google Scholar
• Cohen Priva, U., Edelist, L., & Gleason, E. (2017). Converging to the baseline: Corpus evidence for convergence in speech rate to interlocutor’s baseline. The Journal of the Acoustical Society of America, 141(5), 2989–2996. https://doi.org/https://doi.org/10.1121/1.4982199
   Google Scholar
• Coles-Harris, E. H. (2017). Perspectives on the motivations for phonetic convergence. Language and Linguistics Compass, 11(12), e12268. https://doi.org/https://doi.org/10.1111/lnc3.12268
   Google Scholar
• Cummins, F. (2002). On synchronous speech. Acoustics Research Letters Online, 3(1), 7–11. https://doi.org/https://doi.org/10.1121/1.1416672
   Google Scholar
• Cummins, F. (2003). Practice and performance in speech produced synchronously. Journal of Phonetics, 31(2), 139–148. https://doi.org/https://doi.org/10.1016/S0095-4470(02)00082-7
   Web of Science ®Google Scholar
• Cummins, F. (2009). Rhythm as entrainment: The case of synchronous speech. Journal of Phonetics, 37(1), 16–28. https://doi.org/https://doi.org/10.1016/j.wocn.2008.08.003
   Web of Science ®Google Scholar
• Dias, J. W., & Rosenblum, L. D. (2016). Visibility of speech articulation enhances auditory phonetic convergence. Attention, Perception, & Psychophysics, 78(1), 317–333. https://doi.org/https://doi.org/10.3758/s13414-015-0982-6
   PubMed Web of Science ®Google Scholar
• Garrod, S., & Pickering, M. J. (2004). Why is conversation so easy? Trends in Cognitive Sciences, 8(1), 8–11. https://doi.org/https://doi.org/10.1016/j.tics.2003.10.016
   PubMed Web of Science ®Google Scholar
• Gijssels, T., Casasanto, L. S., Jasmin, K., Hagoort, P., & Casasanto, D. (2016). Speech accommodation without priming: The case of pitch. Discourse Processes, 53(4), 233–251. https://doi.org/https://doi.org/10.1080/0163853X.2015.1023965
   Web of Science ®Google Scholar
• Giles, H., Coupland, N., & Coupland, J. (1991 Accommodation theory: Communication, context, and consequence). . Contexts of Accommodation: Developments in Applied Sociolinguistics, (Cambridge: Cambridge University Press)978-0-521-36151-4 .
   Google Scholar
• Goudbeek, M., Goldman, J. P., & Scherer, K. R. (2009). Emotion dimensions and formant position. Tenth Annual Conference of the International Speech Communication Association.
   Google Scholar
• Gregory, S. W., Jr, Green, B. E., Carrothers, R. M., Dagan, K. A., & Webster, S. W. (2001). Verifying the primacy of voice fundamental frequency in social status accommodation. Language & Communication, 21(1), 37–60. https://doi.org/https://doi.org/10.1016/S0271-5309(00)00011-2
   Google Scholar
• Han J., Waddington G., Adams R., Anson J. and Liu Y. (2016). Assessing proprioception: A critical review of methods. Journal of Sport and Health Science, 5(1), 80–90. https://doi.org/https://doi.org/10.1016/j.jshs.2014.10.004
   PubMed Web of Science ®Google Scholar
• Heldner, M., Edlund, J., & Hirschberg, J. B. (2010). Pitch similarity in the vicinity of backchannels. Proceedings of Interspeech.
   Google Scholar
• Kalckert, A., & Ehrsson, H. H. (2014). The moving rubber hand illusion revisited: Comparing movements and visuotactile stimulation to induce illusory ownership. Consciousness and Cognition, 26 1 , 117–132. https://doi.org/https://doi.org/10.1016/j.concog.2014.02.003
   Google Scholar
• Keith, J. (1979). Impro: Improvisation and the theatre Keith, J. In Londen. Faber and Faber Ltd 978-0-87830-117-1 .
   Google Scholar
• Kilteni, K., Maselli, A., Kording, K. P., & Slater, M. (2015). Over my fake body: Body ownership illusions for studying the multisensory basis of own-body perception. Frontiers in Human Neuroscience, 9, 141. https://doi.org/https://doi.org/10.3389/fnhum.2015.00141
   PubMed Web of Science ®Google Scholar
• Kirschner, S., & Tomasello, M. (2010). Joint music making promotes prosocial behavior in 4-year-old children. Evolution and Human Behavior, 31(5), 354–364. https://doi.org/https://doi.org/10.1016/j.evolhumbehav.2010.04.004
   Web of Science ®Google Scholar
• Kreutz, G. (2014). Does singing facilitate social bonding? Music and Medicine, 6(2), 51–60. https://doi.org/https://doi.org/10.47513/mmd.v6i2.180
   Google Scholar
• Lelong, A., & Bailly, G. (2011). Study of the phenomenon of phonetic convergence thanks to speech dominoes. Analysis of Verbal and Nonverbal Communication and Enactment, the Processing Issues 6800 , 273–286 doi:https://doi.org/https://doi.org/10.1007/978-3-642-25775-9_26.
   Google Scholar
• Levitan, R., & Hirschberg, J. B. (2011). Measuring acoustic-prosodic entrainment with respect to multiple levels and dimensions. Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics.
   Google Scholar
• Lewandowski, N., & Jilka, M. (2019). Phonetic convergence, language talent, personality and attention. Frontiers in Communication, 4, 18. https://doi.org/https://doi.org/10.3389/fcomm.2019.00018
   Google Scholar
• Liu, H., Xu, Y., & Larson, C. R. (2009). Attenuation of vocal responses to pitch perturbations during mandarin speech. The Journal of the Acoustical Society of America, 125(4), 2299–2306. https://doi.org/https://doi.org/10.1121/1.3081523
   PubMedGoogle Scholar
• Longo, M. R., Schüür, F., Kammers, M. P., Tsakiris, M., & Haggard, P. (2008). What is embodiment? A psychometric approach. Cognition, 107(3), 978–998. https://doi.org/https://doi.org/10.1016/j.cognition.2007.12.004
   PubMed Web of Science ®Google Scholar
• Mantell, J. T., & Pfordresher, P. Q. (2013). Vocal imitation of song and speech. Cognition, 127(2), 177–202. https://doi.org/https://doi.org/10.1016/j.cognition.2012.12.008
   PubMed Web of Science ®Google Scholar
• Marslen-Wilson, W. D. (1985). Speech shadowing and speech comprehension. Speech Communication, 4(1–3), 55–73. https://doi.org/https://doi.org/10.1016/0167-6393(85)90036-6
   Web of Science ®Google Scholar
• Miller-Kuhaneck, H., Henry, D.A., Glennon, T.J., Mu, K. (2007 Development of the Sensory Processing Measure–School: Initial studies of reliability and validity.). . The American Journal of Occupational Therapy 61 2 170–175 doi:https://doi.org/https://doi.org/10.5014/ajot.61.2.170 (:).
   PubMed Web of Science ®Google Scholar
• Nguyen, N., & Delvaux, V. (2015). Role of imitation in the emergence of phonological systems. Journal of Phonetics, 53 1 , 46–54. https://doi.org/https://doi.org/10.1016/j.wocn.2015.08.004
   Google Scholar
• Pardo, J. S., Jay, I. C., & Krauss, R. M. (2010). Conversational role influences speech imitation. Attention, Perception, & Psychophysics, 72(8), 2254–2264. https://doi.org/https://doi.org/10.3758/BF03196699
   PubMed Web of Science ®Google Scholar
• Pardo, J. S. (2010 Expressing oneself in conversational interaction. Morsella, E.). . Expressing oneself/expressing One’s Self: Communication, Cognition, Language, and Identity (Psychology Press), 183–196 978-1-84872-886-8 .
   Google Scholar
• Pardo, J., Gibbons, R., Suppes, A., & Krauss, R. M. (2012). Phonetic convergence in college roommates. Journal of Phonetics, 40(1), 190–197. https://doi.org/https://doi.org/10.1016/j.wocn.2011.10.001
   Web of Science ®Google Scholar
• Pardo, J. (2013). Measuring phonetic convergence in speech production. Frontiers in Psychology, 4, 559. https://doi.org/https://doi.org/10.3389/fpsyg.2013.00559
   PubMed Web of Science ®Google Scholar
• Pardo, J. S., Jordan, K., Mallari, R., Scanlon, C., & Lewandowski, E. (2013). Phonetic convergence in shadowed speech: The relation between acoustic and perceptual measures. Journal of Memory and Language, 69(3), 183–195. https://doi.org/https://doi.org/10.1016/j.jml.2013.06.002
   Web of Science ®Google Scholar
• Pardo, J., Urmanche, W., Wilman, Wiener, S., & Wiener, J. (2017). Phonetic convergence across multiple measures and model talkers. Attention, Perception, & Psychophysics, 79(2), 637–659. https://doi.org/https://doi.org/10.3758/s13414-016-1226-0
   PubMed Web of Science ®Google Scholar
• Pardo, J., Urmanche, A., Wilman, S., Wiener, J., Mason, N., Francis, K., & Ward, M. (2018). A comparison of phonetic convergence in conversational interaction and speech shadowing. Journal of Phonetics, 69 1 , 1–11. https://doi.org/https://doi.org/10.1016/j.wocn.2018.04.001
   Google Scholar
• Pearce, E., Launay, J., & Dunbar, R. I. (2015). The ice-breaker effect: Singing mediates fast social bonding. Royal Society Open Science, 2(10), 150221. https://doi.org/https://doi.org/10.1098/rsos.150221
   PubMed Web of Science ®Google Scholar
• Pearce, E., Launay, J., van Duijn, M., Rotkirch, A., David-Barrett, T., & Dunbar, R. I. (2016). Singing together or apart: The effect of competitive and cooperative singing on social bonding within and between sub-groups of a university fraternity. Psychology of Music, 44(6), 1255–1273. https://doi.org/https://doi.org/10.1177/0305735616636208
   PubMed Web of Science ®Google Scholar
• Porges, S. (1993). Body perception questionnaire Kolacz, J. In Laboratory of developmental assessment. University of Maryland.
   Google Scholar
• Postma, A. (2000). Detection of errors during speech production: A review of speech monitoring models. Cognition, 77(2), 97–132. https://doi.org/https://doi.org/10.1016/S0010-0277(00)00090-1
   PubMed Web of Science ®Google Scholar
• Postma-Nilsenová, M., & Postma, E. (2013). Auditory perception bias in speech imitation. Frontiers in Psychology, 4, 826. https://doi.org/https://doi.org/10.3389/fpsyg.2013.00826
   PubMed Web of Science ®Google Scholar
• R Core Team (2013). R: A language and environment for statistical computing. Vienna, Austria http://www.R-project.org/
   Google Scholar
• Reichel, U. D., Beňuš, Š., & Mády, K. (2018). Entrainment profiles: Comparison by gender, role, and feature set. Speech Communication, 100 1 , 46–57. https://doi.org/https://doi.org/10.1016/j.specom.2018.04.009
   Google Scholar
• Rombout, L. E., Atzmueller, M., & Postma-Nilsenová, M. (2018). Towards estimating collective motor behavior: Aware of self vs. aware of the other. Proceedings of the Workshop on Affective Computing and Context Awareness in Ambient Intelligence.
   Google Scholar
• Rombout, L. E., & Postma-Nilsenová, M. (2019). Exploring a voice illusion. Proceedings of the 8th international conference on affective computing and intelligent interaction (ACII), 711–717.
   Google Scholar
• Sato, M., Grabski, K., Garnier, M., Granjon, L., Schwartz, J.-L., & Nguyen, N. (2013). Converging toward a common speech code: Imitative and perceptuo-motor recalibration processes in speech production. Frontiers in Psychology, 4, 422. https://doi.org/https://doi.org/10.3389/fpsyg.2013.00422
   Google Scholar
• Schweitzer, A., & Lewandowski, N. (2014). Social factors in convergence of f1 and f2 in spontaneous speech. Proceedings of the 10th International Seminar on Speech Production, 391–394.
   Google Scholar
• Seth, A. K. (2013). Interoceptive inference, emotion, and the embodied self. Trends in Cognitive Sciences, 17(11), 565–573. https://doi.org/https://doi.org/10.1016/j.tics.2013.09.007
   PubMed Web of Science ®Google Scholar
• Sforza, A., Bufalari, I., Haggard, P., & Aglioti, S. M. (2010). My face in yours: Visuo-tactile facial stimulation influences sense of identity. Social Neuroscience, 5(2), 148–162. https://doi.org/https://doi.org/10.1080/17470910903205503
   PubMed Web of Science ®Google Scholar
• Suzuki, K., Garfinkel, S. N., Critchley, H. D., & Seth, A. K. (2013). Multisensory integration across exteroceptive and interoceptive domains modulates self-experience in the rubber hand illusion. Neuropsychologia, 51(13), 2909–2917. https://doi.org/https://doi.org/10.1016/j.neuropsychologia.2013.08.014
   PubMed Web of Science ®Google Scholar
• Tajadura-Jiménez, A., Banakou, D., Bianchi-Berthouze, N., & Slater, M. (2017). Embodiment in a child-like talking virtual body inuences object size perception, self-identification, and subsequent real speaking. Scientific Reports, 7(1), 1–12. https://doi.org/https://doi.org/10.1038/s41598-017-09497-3
   PubMedGoogle Scholar
• Tarr, B., Slater, M., & Cohen, E. (2018). Synchrony and social connection in immersive virtual reality. Scientific Reports, 8(1), 1–8. https://doi.org/https://doi.org/10.1038/s41598-018-21765-4
   PubMedGoogle Scholar
• Tsakiris, M. (2017). The multisensory basis of the self: From body to identity to others. The Quarterly Journal of Experimental Psychology, 70(4), 597–609. https://doi.org/https://doi.org/10.1080/17470218.2016.1181768
   PubMed Web of Science ®Google Scholar
• Westfall, J., Kenny, D. A., & Judd, C. M. (2014). Statistical power and optimal design in experiments in which samples of participants respond to samples of stimuli. Journal of Experimental Psychology: General, 143(5), 2020. https://doi.org/https://doi.org/10.1037/xge0000014
   PubMed Web of Science ®Google Scholar
• Wiltermuth, S. S., & Heath, C. (2009). Synchrony and cooperation. Psychological Science, 20(1), 1–5. https://doi.org/https://doi.org/10.1111/j.1467-9280.2008.02253.x
   PubMed Web of Science ®Google Scholar
• Woosnam, K. M. (2010). The inclusion of other in the self (IOS) scale. Annals of Tourism Research, 37(3), 857–860. https://doi.org/https://doi.org/10.1016/j.annals.2010.03.003
   Web of Science ®Google Scholar
• Zheng, Z. Z., MacDonald, E. N., Munhall, K. G., Johnsrude, I. S., & Sirigu, A. (2011). Perceiving a stranger’s voice as being one’s own: A ‘rubber voice’ illusion? PloS One, 6(4), e18655. https://doi.org/https://doi.org/10.1371/journal.pone.0018655
   Google Scholar