UsePapers

Bobb, M. R., Van Heukelom, P. G., Faine, B. A., Ahmed, A., Messerly, J. T., Bell, G., Harland, K. K., Simon, C., & Mohr, N. M. (2016) Telemedicine provides noninferior research informed consent for remote study enrollment: A randomized controlled trial. Academic Emergency Medicine, 23(7), 759-765. https://doi.org/10.1111/acem.12966

Bottalico, P., Murgia, S., Puglisi, G.E., Astolfi, A., & Kirk, K.I. (2020) Effect of masks on speech intelligibility in auralized classrooms. Journal of the Acoustical Society of America, 148(5), 2878. https://doi.org/10.1121/10.0002450.

Chen, J. X., Whitton, J. P., Parthasarathy, A., Hancock, K. E., & Polley, D. B. (2020). Fluctuations in Subjective Tinnitus Ratings Over Time: Implications for Clinical Research. Otology & Neurotology. https://journals.lww.com/otology-neurotology/Abstract/9000/Fluctuations_in_Subjective_Tinnitus_Ratings_Over.96051.aspx

Dial HR, Hinshelwood HA, Grasso SM, Hubbard HI, Gorno-Tempini ML, Henry ML. (2019). Investigating the utility of teletherapy in individuals with primary progressive aphasia. Clinical Interventions in Aging. 14:453-471. Published 2019 Feb 25. doi:10.2147/CIA.S178878 https://pubmed.ncbi.nlm.nih.gov/30880927/

Düvel, N., Kopiez, R., Wolf, A., & Weihe, P. (2020). Confusingly Similar: Discerning between Hardware Guitar Amplifier Sounds and Simulations with the Kemper Profiling Amp. Music & Science, 3. https://doi.org/10.1177%2F2059204320901952

Frühauf, J., Kopiez, R., & Platz, F. (2013). Music on the timing grid: The influence of microtiming on the perceived groove quality of a simple drum pattern performance. Musicae Scientiae, 17(2), 246-260. https://doi.org/10.1177%2F1029864913486793

H2020 EVOTION Consortium (2016-2020). Developing a platform for remote data collection with hearing aids for public health. https://h2020evotion.eu. Last accessed 2 September 2020.

Kopiez, R., Platz, F., & Wolf, A. (2013). The overrated power of background music in television news magazines: A replication of Brosius’ 1990 study. Musicae Scientiae, 17(3), 309-331. https://doi.org/10.1177%2F1029864913489703

Kopiez, R., Wolf, A., Platz, F., & Mons, J. (2016). Replacing the orchestra? – The discernibility of sample library and live orchestra sounds. PloS One, 11(7), e0158324. [OPEN ACCESS] https://doi.org/10.1371/journal.pone.0158324

McPherson MJ, Dolan SE, Durango A, Ossandon T, Valdes J, Undurraga EA, Jacoby N, Godoy RA, & McDermott JH (2020). Perceptual fusion of musical notes by native Amazonians suggests universal representations of musical intervals. Nature Communications, 11, 2786. https://www.nature.com/articles/s41467-020-16448-6

McPherson, M. J., & McDermott, J. H. (2018). Diversity in pitch perception revealed by task dependence. Nature Human Behavior, 2, 52-66. https://pubmed.ncbi.nlm.nih.gov/30221202/

McPherson, M. J., McDermott, J. H. (2020). Efficient codes for memory determine pitch representations. bioRxiv. https://doi.org/10.1101/2020.05.07.082511

McWalter R, McDermott JH (2019). Illusory sound texture reveals multi-second statistical completion in auditory scene analysis. Nature Communications, 10, 5096. https://www.nature.com/articles/s41467-019-12893-0

Pfordresher, P. Q., & Demorest, S. M. (in press). The prevalence and correlates of accurate singing. Journal of Research in Music Education.

Platz, F., & Kopiez, R. (2013). When the first impression counts: Music performers, audience and the evaluation of stage entrance behaviour. Musicae Scientiae, 17(2), 167-197. http://dx.doi.org/10.1177/1029864913486369

Teki, S., Kumar, S., & Griffiths, T. D. (2016). Large-Scale Analysis of Auditory Segregation Behavior Crowdsourced via a Smartphone App. PLoS One 11(4):e0153916. doi:10.1371/journal.pone.0153916

Traer, J., & McDermott, J. H. (2016). Statistics of natural reverberation enable perceptual separation of sound and space. Proc Natl Acad Sci U S A. 113(48):E7856-E7865. doi:10.1073/pnas.1612524113

Welch, B. M., Marshall, E., Qaungo, S., Aziz, A., Laken, M., Lenert, L., & Obeid, J. (2016) Teleconsent: A novel approach to obtain informed consent for research. Contemporary Clinical Trials Communication, 3, 74-79. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5096381/

Whiteford, K. L. Baltzell, L. S., Irsik, V. C., Irvine, A., Mesik, J., Nolan, T., Oakes, B., Schrlau, A. E., Van Hedger, S. C., Bharadwaj, H. M., Johnsrude, I. S., Kidd, G. R., Lim, S., Luebke, A. E., Maddox, R. K., Marvin, E. W., Perrachione, T. K., Shinn-Cunningham, B. G., & Oxenham, A. J. (pre-registration). Association of musical training with auditory and speech neural coding and perception. https://osf.io/pxwbu/

Whitton, J. P., Hancock, K. E., Shannon, J. M., & Polley, D. B. (2017). Audiomotor Perceptual Training Enhances Speech Intelligibility in Background Noise. Current Biology, 27(21), 3237-3247.e6. https://doi.org/10.1016/j.cub.2017.09.014

Wolf, A., Kopiez, R., Platz, F., Lin, H. R., & Mütze, H. (2018). Tendency Towards the Average? The Aesthetic Evaluation of a Quantitatively Average Music Performance: A Successful Replication of Repp's (1997) Study. Music Perception: An Interdisciplinary Journal, 36(1), 98-108. https://doi.org/10.1525/mp.2018.36.1.98

Wolf, A., & Kopiez, R. (2018). Development and validation of the musical ear training assessment (META). Journal of Research in Music Education, 66(1), 53-70. https://doi.org/10.1177%2F0022429418754845

Woods, K. J. P. & McDermott, J. H. (2018). Schema learning for the cocktail party problem. Proceedings of the National Academy of Sciences, 115, E3313-E3322. https://doi.org/10.1073/pnas.1801614115

Zhao, S., Yum, N. W., Benjamin, L., Benhamou, E., Yoneya, M., Furukawa, S., Dick, F., Slaney, M., & Chait, M. (2019). Rapid ocular responses are modulated by bottom-up-driven auditory salience. Journal of Neuroscience, 39(39), 7703-7714. https://doi.org/10.1523/JNEUROSCI.0776-19.2019