Accès libre

The self-control training method of vocal performance teaching in a new media environment

 et    | 11 mai 2023
À propos de cet article

Citez

Larose R, Gregg J L, Strover S, et al. (2015). Closing the rural broadband gap: Promoting adoption of the Internet in rural America. Telecommunications Policy, 31(6-7), 359-373. Search in Google Scholar

Baltes S, Park G, Serebrenik A. (2020). Is 40 the new 60? How popular media portrays the employability of older software developers. IEEE Software, PP(99). Search in Google Scholar

Yao S, Zhao Y, Zhang A, et al. (2018). Deep Learning for the Internet of Things. Computer, 51(5), 32-41. Search in Google Scholar

Ramezani P, Jamalipour A. (2017). Toward the Evolution of Wireless Powered Communication Networks for the Future Internet of Things. IEEE Network. Search in Google Scholar

Takahashi D. Y., & R., A. (2015). The developmental dynamics of marmoset monkey vocal production. Science (New York, N.Y.). Search in Google Scholar

Lingala S G, Zhu Y, Kim Y C, et al. (2017). A fast and flexible MRI system for the study of dynamic vocal tract shaping. Magnetic Resonance in Medicine, 77(1), 112-125 Search in Google Scholar

Peng L, Tao G. (2017). Acoustical characteristics of Chinese musical instrument bamboo flute. The Journal of the Acoustical Society of America, 141(5), 3726. Search in Google Scholar

Lawless M S, Baglione M, Sidebotham G W. (2016). Developing and teaching an interdisciplinary musical instrument design course at the Cooper Union. Journal of the Acoustical Society of America, 139(4), 2096. Search in Google Scholar

Saitis C, Kai S. (2020). Brightness perception for musical instrument sounds: Relation to timbre dissimilarity and source-cause categories. The Journal of the Acoustical Society of America, 148(4), 2256. Search in Google Scholar

Kusumaningtyas I, Christianto R, Parikesit G O. (2020). Directivity of the half-dome bundengan musical instrument. The Journal of the Acoustical Society of America, 148(4), 2749. Search in Google Scholar

Jiang, X., & Pell, M. D. (2015). On how the brain decodes vocal cues about speaker confidence. Cortex, 66, 9-34. Search in Google Scholar

Rollins, M. K., Berardi, M. L., Hunter, E. J., et al. (2015). Vocal fatigue over a workday: A schoolteacher case study. Journal of the Acoustical Society of America, 137(4), 2434. Search in Google Scholar

Zhang, Z. (2019). Estimation of vocal fold geometry and stiffness from voice acoustics. The Journal of the Acoustical Society of America, 146(4), 3085-3086. Search in Google Scholar

Kaburagi, T., & Fukuda, Y. (2017). Observation of the vocal tract configuration while playing a woodwind instrument. The Journal of the Acoustical Society of America, 141(5), 3875. Search in Google Scholar

Bda, B., Rs, A., & Nk, A. (2020). Processing communicative facial and vocal cues in the superior temporal sulcus. NeuroImage, 221. Search in Google Scholar

Engesser, S., Crane, J., Savage, J. L., et al. (2015). Experimental Evidence for Phonemic Contrasts in a Nonhuman Vocal System. PLoS Biology, 13(6), e1002171. Search in Google Scholar

Astolfi, A. (2018). Trajectories in classroom acoustics: The vocal behaviour of teachers. The Journal of the Acoustical Society of America, 144(3), 1977. Search in Google Scholar

Arnela, M., & Guasch, O. (2017). Finite element simulation of diphthongs in three-dimensional realistic vocal tracts with flexible walls. Journal of the Acoustical Society of America, 141(5), 3469. Search in Google Scholar

Acheson, N. H. (2021). Multiple sub-repertoires and singing patterns of Red-eyed Vireos (Vireo olivaceus). The Wilson Journal of Ornithology, 132(3). Search in Google Scholar

Dai, J., & Dixon, S. (2019). Singing together: Pitch accuracy and interaction in unaccompanied unison and duet singing. Journal of the Acoustical Society of America, 145(2), 663-675. Search in Google Scholar

Rachel, M, Bittner, et al. (2019). An Introduction to Signal Processing for Singing-Voice Analysis: High Notes in the Effort to Automate the Understanding of Vocals in Music. IEEE Signal Processing Magazine, 36(1), 82-94. Search in Google Scholar

C J, Mortensen, A M, et al. (2015). The flipped classroom stimulates greater learning and is a modern 21st century approach to teaching today’s undergraduates. Journal of animal science. Search in Google Scholar

Farshchin M, Camp C V, Maniat M. (2016). Multi-class teaching–learning-based optimization for truss design with frequency constraints. Engineering Structures, 106, 355-369. Search in Google Scholar

Barve S, Taylor C, Viral J. (2017). Jack of All Calls and Master of Few: Vocal Mimicry in the Tawny Lark (Galerida Deva). Avian Biology Research, 10(3), 174-180. Search in Google Scholar

Nix J P. (2015). Listener preferences for vibrato rate and extent in synthesized vocal samples. Journal of the Acoustical Society of America, 137(4), 2404-2405. Search in Google Scholar

Nort D V. (2018). Audio-haptic perception in immersive improvisational environments. The Journal of the Acoustical Society of America, 143(3), 1931-1931. Search in Google Scholar

Lemaitre G, Jabbari A, Misdariis N, et al. (2016). Vocal imitation of basic auditory features. The Journal of the Acoustical Society of America, 139(1), 290-300. Search in Google Scholar

Hara E, Perez J M, Whitney O, et al. (2015). Neural FoxP2 and FoxP1 expression in the budgerigar, an avian species with adult vocal learning. Behavioural Brain Research, 283, 22-29. Search in Google Scholar

eISSN:
2444-8656
Langue:
Anglais
Périodicité:
Volume Open
Sujets de la revue:
Life Sciences, other, Mathematics, Applied Mathematics, General Mathematics, Physics