Academic literature on the topic 'Music and science'
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Journal articles on the topic "Music and science"
Fallowfield, Ellen. "Sounding Science: Exploring Music in Science and Science in Music." Arts 4, no. 4 (December 19, 2015): 121–22. http://dx.doi.org/10.3390/arts4040121.
Full textKozu, Yoshiyuki. "Music playing robots. Music in Science." Journal of the Robotics Society of Japan 14, no. 2 (1996): 160–63. http://dx.doi.org/10.7210/jrsj.14.160.
Full textDetournay, Stephane. "Music meets science." Nature 499, no. 7457 (July 2013): 245. http://dx.doi.org/10.1038/nj7457-245a.
Full textWindle, Ralph. "Science and music." New Scientist 206, no. 2762 (May 2010): 29. http://dx.doi.org/10.1016/s0262-4079(10)61320-6.
Full textHall, R. W. "MUSIC THEORY: Geometrical Music Theory." Science 320, no. 5874 (April 18, 2008): 328–29. http://dx.doi.org/10.1126/science.1155463.
Full textGray, P. M. "BIOLOGY AND MUSIC: Enhanced: The Music of Nature and the Nature of Music." Science 291, no. 5501 (January 5, 2001): 52–54. http://dx.doi.org/10.1126/science.10.1126/science.1056960.
Full textTramo, M. J. "BIOLOGY AND MUSIC: Enhanced: Music of the Hemispheres." Science 291, no. 5501 (January 5, 2001): 54–56. http://dx.doi.org/10.1126/science.10.1126/science.1056899.
Full textAdu-Gilmore, Leila. "Accessing marginalized musics through adaptable, culturally sustaining music technology modules." Journal of Popular Music Education 7, no. 3 (September 1, 2023): 317–34. http://dx.doi.org/10.1386/jpme_00130_1.
Full textLauria, Federico. "Affective Responses to Music: An Affective Science Perspective." Philosophies 8, no. 2 (February 23, 2023): 16. http://dx.doi.org/10.3390/philosophies8020016.
Full textWerrett, Simon. "Disciplinary Culture: Artillery, Sound, and Science in Woolwich, 1800–1850." 19th-Century Music 39, no. 2 (2015): 87–98. http://dx.doi.org/10.1525/ncm.2015.39.2.87.
Full textDissertations / Theses on the topic "Music and science"
Lee, Joungmin. "A New Music Composition Technique using Natural Science Data." The Ohio State University, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=osu1557005560251117.
Full textLee, Deborah. "Modelling music : a theoretical approach to the classification of notated Western art music." Thesis, City, University of London, 2017. http://openaccess.city.ac.uk/17445/.
Full textSepko, Delaina. "Curating music curation." Thesis, University of Glasgow, 2015. http://theses.gla.ac.uk/6357/.
Full textBoland, Daniel. "Engaging with music retrieval." Thesis, University of Glasgow, 2015. http://theses.gla.ac.uk/6727/.
Full textYu, ChÅ ng. "Computer generated music composition." Thesis, Massachusetts Institute of Technology, 1996. http://hdl.handle.net/1721.1/10901.
Full textYang, Fan M. Eng Massachusetts Institute of Technology. "Adaptive music recommendation system." Thesis, Massachusetts Institute of Technology, 2010. http://hdl.handle.net/1721.1/61584.
Full textCataloged from PDF version of thesis.
Includes bibliographical references (p. 61-63).
While sources of digital music are getting more abundant and music players are becoming increasingly feature-rich, we still struggle to find new music that we may like. This thesis explores the design and implementation of the MusicPlanner - a music recommendation application that utilizes a goal-oriented framework to recommend and play music. Goal-oriented programming approaches problems by modeling them using Goals, Techniques, and a Planner. The Goals are representations of a user's intent, while the Techniques are the methods that can be used to satisfy the Goals. The Planner connects the Goals and Techniques in a user-defined way to find solutions to user's requests. In the MusicPlanner, the Planner defines the top level Goal of recommending music, which can be satisfied by a set of recommendation Techniques. Each of the recommendation Techniques then declares the sub-Goal of playing music, which can be satisfied by a set of play Techniques. The Planner evaluates each of the Techniques and iterates through the results to choose the best set of Techniques to satisfy the top-level goal of music recommendation. The MusicPlanner allows the user to create personal music stations and for each station, constructs a model of user's music taste based on queries and feedback to the songs played. The extensible design of the architecture and the ease of implementing the MusicPlanner show how goal-oriented framework can simplify the work for programmers. In evaluating the performance of the MusicPlanner, we demonstrate that the Planner in the goal-oriented framework outperforms each individual recommendation Technique.
by Fan Yang.
M.Eng.
Wilkins, Robin W. "Network science and the effects of music on the human brain." Thesis, The University of North Carolina at Greensboro, 2015. http://pqdtopen.proquest.com/#viewpdf?dispub=3708255.
Full textMost people choose to listen to music that they prefer or like such as classical, country or rock. Previous research has focused on how different characteristics of music (i.e., classical versus country) affect the brain. Yet, when listening to preferred music regardless of the type—people report they often experience personal thoughts and memories. To date, understanding how this occurs in the brain has remained elusive. Using network science methods, I evaluated differences in functional brain connectivity when individuals listened to complete songs. Here the results reveal that a circuit important for internally focused thoughts, known as the default mode network, was most connected when listening to preferred music. The results also reveal that listening to a favorite song alters the connectivity between auditory brain areas and the hippocampus, a region responsible for memory and social emotion consolidation. Given that musical preferences are uniquely individualized phenomena and that music can vary in acoustic complexity and the presence or absence of lyrics, the consistency of these results was contrary to previous neuroscientific understanding. These findings may explain why comparable emotional and mental states can be experienced by people listening to music that differs as widely as Beethoven and Eminem. The neurobiological and neurorehabilitation implications of these results are discussed.
Mills, Nicole Jennet. "An exploration of materials for music integration in elementary science education." Honors in the Major Thesis, University of Central Florida, 2011. http://digital.library.ucf.edu/cdm/ref/collection/ETH/id/477.
Full textB.S.
Bachelors
Education
Elementary Education
Fisher, Ebon. "Passion in science and rock music : a comparison of two faiths." Thesis, Massachusetts Institute of Technology, 1986. http://hdl.handle.net/1721.1/73753.
Full textOberholtzer, Josiah W. "A Computational Model of Music Composition." Thesis, Harvard University, 2015. http://nrs.harvard.edu/urn-3:HUL.InstRepos:17463123.
Full textMusic
Books on the topic "Music and science"
Jeans, James Hopwood. Science and music. New York: Cambridge University Press, 2009.
Find full textHopwood, Jeans James. Science and music. New York: Cambridge University Press, 2009.
Find full textHopwood, Jeans James. Science and music. New York: Cambridge University Press, 2009.
Find full textCoulter, George. Science in music. Vero Beach, Fla: Rourke Publications, 1995.
Find full textHopwood, Jeans James. Science and music. New York: Cambridge University Press, 2009.
Find full textNeuenschwander, Erwin, and Laurence Bouquiaux, eds. Science, Philosophy and Music. Turnhout: Brepols Publishers, 2002. http://dx.doi.org/10.1484/m.dda-eb.5.106675.
Full textBerger, Melvin. The science of music. New York: Crowell, 1989.
Find full textTomecek, Steve. The Science of music. New York: Chelsea House, 2009.
Find full textErwin, Neuenschwander, and Bouquiaux Laurence, eds. Science, philosophy, and music. Turnhout, Belgium: Brepols, 2002.
Find full textLevine, Shar. Science experiments with sound & music. New York: Sterling Pub., 2000.
Find full textBook chapters on the topic "Music and science"
Di Francia, Giuliano Toraldo. "Music and Science." In Language, Quantum, Music, 327–38. Dordrecht: Springer Netherlands, 1999. http://dx.doi.org/10.1007/978-94-017-2043-4_29.
Full textde Alencar, Marcelo Sampaio. "Music Styles." In Music Science, 205–18. New York: River Publishers, 2022. http://dx.doi.org/10.1201/9781003338895-17.
Full textMazzola, Guerino, Maria Mannone, Yan Pang, Margaret O’Brien, and Nathan Torunsky. "Global Music." In Computational Music Science, 115–24. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-47334-5_13.
Full textMazzola, Guerino, Yan Pang, William Heinze, Kyriaki Gkoudina, Gian Afrisando Pujakusuma, Jacob Grunklee, Zilu Chen, Tianxue Hu, and Yiqing Ma. "Music Transportation." In Computational Music Science, 163–72. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-00982-3_20.
Full textde Alencar, Marcelo Sampaio. "Music and Mathematics." In Music Science, 29–45. New York: River Publishers, 2022. http://dx.doi.org/10.1201/9781003338895-3.
Full textde Alencar, Marcelo Sampaio. "Note, Time, and Frequency." In Music Science, 167–73. New York: River Publishers, 2022. http://dx.doi.org/10.1201/9781003338895-13.
Full textde Alencar, Marcelo Sampaio. "Scale Formation." In Music Science, 151–57. New York: River Publishers, 2022. http://dx.doi.org/10.1201/9781003338895-11.
Full textde Alencar, Marcelo Sampaio. "Signal Analysis." In Music Science, 47–60. New York: River Publishers, 2022. http://dx.doi.org/10.1201/9781003338895-4.
Full textde Alencar, Marcelo Sampaio. "Musical Terminology." In Music Science, 91–101. New York: River Publishers, 2022. http://dx.doi.org/10.1201/9781003338895-7.
Full textde Alencar, Marcelo Sampaio. "Acoustics and Congnition." In Music Science, 115–27. New York: River Publishers, 2022. http://dx.doi.org/10.1201/9781003338895-9.
Full textConference papers on the topic "Music and science"
De Roure, David, Graham Klyne, Kevin R. Page, John P. N. Pybus, and David M. Weigl. "Music and Science." In DLfM '15: 2nd International Workshop on Digital Libraries for Musicology. New York, NY, USA: ACM, 2015. http://dx.doi.org/10.1145/2785527.2785530.
Full textRubinstein, Roy S. "Computer science projects with music." In the twenty-sixth SIGCSE technical symposium. New York, New York, USA: ACM Press, 1995. http://dx.doi.org/10.1145/199688.199823.
Full textSilla, Carlos N., Andre L. Przybysz, Andriano Rivolli, Thayna Gimenez, Carolina Barroso, and Jessika Machado. "Girls, Music and Computer Science." In 2018 IEEE Frontiers in Education Conference (FIE). IEEE, 2018. http://dx.doi.org/10.1109/fie.2018.8658724.
Full textPeterson, John, and Greg Haynes. "Integrating Computer Science into Music Education." In SIGCSE '17: The 48th ACM Technical Symposium on Computer Science Education. New York, NY, USA: ACM, 2017. http://dx.doi.org/10.1145/3017680.3017767.
Full textWANG, YANRU. "ANALYSIS OF MUSIC ART FORM FROM THE PERSPECTIVE OF MUSIC AESTHETICS." In 2023 9TH INTERNATIONAL SYMPOSIUM ON SOCIAL SCIENCE. Destech Publications, Inc., 2023. http://dx.doi.org/10.12783/dtssehs/isss2023/36063.
Full textW. L. Fong, Michelle. "Music in Cyberspace." In InSITE 2004: Informing Science + IT Education Conference. Informing Science Institute, 2004. http://dx.doi.org/10.28945/2831.
Full textHou, Yanshuang, and Xinglong Guo. "Music Creation Environment of Music Poetry." In 2017 International Conference on Art Studies: Science, Experience, Education (ICASSEE 2017). Paris, France: Atlantis Press, 2018. http://dx.doi.org/10.2991/icassee-17.2018.4.
Full textVidulin, Sabina. "MUSIC TEACHING AND LISTENING TO ART MUSIC IN THE FUNCTION OF STUDENTS’ HOLISTIC DEVELOPMENT." In SCIENCE AND TEACHING IN EDUCATIONAL CONTEXT. FACULTY OF EDUCATION IN UŽICE, UNIVERSITY OF KRAGUJEVAC, 2020. http://dx.doi.org/10.46793/stec20.391v.
Full textYe, Xiangyang. "Music Creation with Computer Music Production Software." In 2022 International Conference on Electronics and Devices, Computational Science (ICEDCS). IEEE, 2022. http://dx.doi.org/10.1109/icedcs57360.2022.00041.
Full textKusakunniran, Worapan, Attapol Prempanichnukul, Arthid Maneesutham, Kullachut Chocksawud, Suparus Tongsamui, and Kittikhun Thongkanchorn. "Optical music recognition for traditional Thai sheet music." In 2014 International Computer Science and Engineering Conference (ICSEC). IEEE, 2014. http://dx.doi.org/10.1109/icsec.2014.6978187.
Full textReports on the topic "Music and science"
Templeton, Patricia. Atomic tunes: The intersection of Lab science and popular music from 1945-1962 How American music was influenced by nuclear science. Office of Scientific and Technical Information (OSTI), October 2021. http://dx.doi.org/10.2172/1826489.
Full textSun, Chenbing, Zhe Wang, and Yuening Dai. Music therapy for sleep quality in cancer patients with insomnia:A protocol for systematic review and meta-analysis. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, December 2021. http://dx.doi.org/10.37766/inplasy2021.12.0128.
Full textNyman, Matt, Nancy Staus, and Martin Storksdieck. Science and Art Teaching Practices for Oregon Elementary Teachers: Results of a Landscape Survey. Oregon State University, September 2023. http://dx.doi.org/10.5399/osu/1163.
Full textKiv, Arnold E., Vladyslav V. Bilous, Dmytro M. Bodnenko, Dmytro V. Horbatovskyi, Oksana S. Lytvyn, and Volodymyr V. Proshkin. The development and use of mobile app AR Physics in physics teaching at the university. [б. в.], July 2021. http://dx.doi.org/10.31812/123456789/4629.
Full textYatsymirska, Mariya. SOCIAL EXPRESSION IN MULTIMEDIA TEXTS. Ivan Franko National University of Lviv, February 2021. http://dx.doi.org/10.30970/vjo.2021.49.11072.
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