Literatura académica sobre el tema "Music and science"
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Artículos de revistas sobre el tema "Music and science"
Fallowfield, Ellen. "Sounding Science: Exploring Music in Science and Science in Music". Arts 4, n.º 4 (19 de diciembre de 2015): 121–22. http://dx.doi.org/10.3390/arts4040121.
Texto completoKozu, Yoshiyuki. "Music playing robots. Music in Science." Journal of the Robotics Society of Japan 14, n.º 2 (1996): 160–63. http://dx.doi.org/10.7210/jrsj.14.160.
Texto completoDetournay, Stephane. "Music meets science". Nature 499, n.º 7457 (julio de 2013): 245. http://dx.doi.org/10.1038/nj7457-245a.
Texto completoWindle, Ralph. "Science and music". New Scientist 206, n.º 2762 (mayo de 2010): 29. http://dx.doi.org/10.1016/s0262-4079(10)61320-6.
Texto completoHall, R. W. "MUSIC THEORY: Geometrical Music Theory". Science 320, n.º 5874 (18 de abril de 2008): 328–29. http://dx.doi.org/10.1126/science.1155463.
Texto completoGray, P. M. "BIOLOGY AND MUSIC: Enhanced: The Music of Nature and the Nature of Music". Science 291, n.º 5501 (5 de enero de 2001): 52–54. http://dx.doi.org/10.1126/science.10.1126/science.1056960.
Texto completoTramo, M. J. "BIOLOGY AND MUSIC: Enhanced: Music of the Hemispheres". Science 291, n.º 5501 (5 de enero de 2001): 54–56. http://dx.doi.org/10.1126/science.10.1126/science.1056899.
Texto completoAdu-Gilmore, Leila. "Accessing marginalized musics through adaptable, culturally sustaining music technology modules". Journal of Popular Music Education 7, n.º 3 (1 de septiembre de 2023): 317–34. http://dx.doi.org/10.1386/jpme_00130_1.
Texto completoLauria, Federico. "Affective Responses to Music: An Affective Science Perspective". Philosophies 8, n.º 2 (23 de febrero de 2023): 16. http://dx.doi.org/10.3390/philosophies8020016.
Texto completoWerrett, Simon. "Disciplinary Culture: Artillery, Sound, and Science in Woolwich, 1800–1850". 19th-Century Music 39, n.º 2 (2015): 87–98. http://dx.doi.org/10.1525/ncm.2015.39.2.87.
Texto completoTesis sobre el tema "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.
Texto completoLee, 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/.
Texto completoSepko, Delaina. "Curating music curation". Thesis, University of Glasgow, 2015. http://theses.gla.ac.uk/6357/.
Texto completoBoland, Daniel. "Engaging with music retrieval". Thesis, University of Glasgow, 2015. http://theses.gla.ac.uk/6727/.
Texto completoYu, ChÅ ng. "Computer generated music composition". Thesis, Massachusetts Institute of Technology, 1996. http://hdl.handle.net/1721.1/10901.
Texto completoYang, Fan M. Eng Massachusetts Institute of Technology. "Adaptive music recommendation system". Thesis, Massachusetts Institute of Technology, 2010. http://hdl.handle.net/1721.1/61584.
Texto completoCataloged 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.
Texto completoMost 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.
Texto completoB.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.
Texto completoOberholtzer, Josiah W. "A Computational Model of Music Composition". Thesis, Harvard University, 2015. http://nrs.harvard.edu/urn-3:HUL.InstRepos:17463123.
Texto completoMusic
Libros sobre el tema "Music and science"
Jeans, James Hopwood. Science and music. New York: Cambridge University Press, 2009.
Buscar texto completoHopwood, Jeans James. Science and music. New York: Cambridge University Press, 2009.
Buscar texto completoHopwood, Jeans James. Science and music. New York: Cambridge University Press, 2009.
Buscar texto completoCoulter, George. Science in music. Vero Beach, Fla: Rourke Publications, 1995.
Buscar texto completoHopwood, Jeans James. Science and music. New York: Cambridge University Press, 2009.
Buscar texto completoNeuenschwander, Erwin y Laurence Bouquiaux, eds. Science, Philosophy and Music. Turnhout: Brepols Publishers, 2002. http://dx.doi.org/10.1484/m.dda-eb.5.106675.
Texto completoBerger, Melvin. The science of music. New York: Crowell, 1989.
Buscar texto completoTomecek, Steve. The Science of music. New York: Chelsea House, 2009.
Buscar texto completoErwin, Neuenschwander y Bouquiaux Laurence, eds. Science, philosophy, and music. Turnhout, Belgium: Brepols, 2002.
Buscar texto completoLevine, Shar. Science experiments with sound & music. New York: Sterling Pub., 2000.
Buscar texto completoCapítulos de libros sobre el tema "Music and science"
Di Francia, Giuliano Toraldo. "Music and Science". En Language, Quantum, Music, 327–38. Dordrecht: Springer Netherlands, 1999. http://dx.doi.org/10.1007/978-94-017-2043-4_29.
Texto completode Alencar, Marcelo Sampaio. "Music Styles". En Music Science, 205–18. New York: River Publishers, 2022. http://dx.doi.org/10.1201/9781003338895-17.
Texto completoMazzola, Guerino, Maria Mannone, Yan Pang, Margaret O’Brien y Nathan Torunsky. "Global Music". En Computational Music Science, 115–24. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-47334-5_13.
Texto completoMazzola, Guerino, Yan Pang, William Heinze, Kyriaki Gkoudina, Gian Afrisando Pujakusuma, Jacob Grunklee, Zilu Chen, Tianxue Hu y Yiqing Ma. "Music Transportation". En Computational Music Science, 163–72. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-00982-3_20.
Texto completode Alencar, Marcelo Sampaio. "Music and Mathematics". En Music Science, 29–45. New York: River Publishers, 2022. http://dx.doi.org/10.1201/9781003338895-3.
Texto completode Alencar, Marcelo Sampaio. "Note, Time, and Frequency". En Music Science, 167–73. New York: River Publishers, 2022. http://dx.doi.org/10.1201/9781003338895-13.
Texto completode Alencar, Marcelo Sampaio. "Scale Formation". En Music Science, 151–57. New York: River Publishers, 2022. http://dx.doi.org/10.1201/9781003338895-11.
Texto completode Alencar, Marcelo Sampaio. "Signal Analysis". En Music Science, 47–60. New York: River Publishers, 2022. http://dx.doi.org/10.1201/9781003338895-4.
Texto completode Alencar, Marcelo Sampaio. "Musical Terminology". En Music Science, 91–101. New York: River Publishers, 2022. http://dx.doi.org/10.1201/9781003338895-7.
Texto completode Alencar, Marcelo Sampaio. "Acoustics and Congnition". En Music Science, 115–27. New York: River Publishers, 2022. http://dx.doi.org/10.1201/9781003338895-9.
Texto completoActas de conferencias sobre el tema "Music and science"
De Roure, David, Graham Klyne, Kevin R. Page, John P. N. Pybus y David M. Weigl. "Music and Science". En DLfM '15: 2nd International Workshop on Digital Libraries for Musicology. New York, NY, USA: ACM, 2015. http://dx.doi.org/10.1145/2785527.2785530.
Texto completoRubinstein, Roy S. "Computer science projects with music". En the twenty-sixth SIGCSE technical symposium. New York, New York, USA: ACM Press, 1995. http://dx.doi.org/10.1145/199688.199823.
Texto completoSilla, Carlos N., Andre L. Przybysz, Andriano Rivolli, Thayna Gimenez, Carolina Barroso y Jessika Machado. "Girls, Music and Computer Science". En 2018 IEEE Frontiers in Education Conference (FIE). IEEE, 2018. http://dx.doi.org/10.1109/fie.2018.8658724.
Texto completoPeterson, John y Greg Haynes. "Integrating Computer Science into Music Education". En 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.
Texto completoWANG, YANRU. "ANALYSIS OF MUSIC ART FORM FROM THE PERSPECTIVE OF MUSIC AESTHETICS". En 2023 9TH INTERNATIONAL SYMPOSIUM ON SOCIAL SCIENCE. Destech Publications, Inc., 2023. http://dx.doi.org/10.12783/dtssehs/isss2023/36063.
Texto completoW. L. Fong, Michelle. "Music in Cyberspace". En InSITE 2004: Informing Science + IT Education Conference. Informing Science Institute, 2004. http://dx.doi.org/10.28945/2831.
Texto completoHou, Yanshuang y Xinglong Guo. "Music Creation Environment of Music Poetry". En 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.
Texto completoVidulin, Sabina. "MUSIC TEACHING AND LISTENING TO ART MUSIC IN THE FUNCTION OF STUDENTS’ HOLISTIC DEVELOPMENT". En SCIENCE AND TEACHING IN EDUCATIONAL CONTEXT. FACULTY OF EDUCATION IN UŽICE, UNIVERSITY OF KRAGUJEVAC, 2020. http://dx.doi.org/10.46793/stec20.391v.
Texto completoYe, Xiangyang. "Music Creation with Computer Music Production Software". En 2022 International Conference on Electronics and Devices, Computational Science (ICEDCS). IEEE, 2022. http://dx.doi.org/10.1109/icedcs57360.2022.00041.
Texto completoKusakunniran, Worapan, Attapol Prempanichnukul, Arthid Maneesutham, Kullachut Chocksawud, Suparus Tongsamui y Kittikhun Thongkanchorn. "Optical music recognition for traditional Thai sheet music". En 2014 International Computer Science and Engineering Conference (ICSEC). IEEE, 2014. http://dx.doi.org/10.1109/icsec.2014.6978187.
Texto completoInformes sobre el tema "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), octubre de 2021. http://dx.doi.org/10.2172/1826489.
Texto completoSun, Chenbing, Zhe Wang y 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, diciembre de 2021. http://dx.doi.org/10.37766/inplasy2021.12.0128.
Texto completoNyman, Matt, Nancy Staus y Martin Storksdieck. Science and Art Teaching Practices for Oregon Elementary Teachers: Results of a Landscape Survey. Oregon State University, septiembre de 2023. http://dx.doi.org/10.5399/osu/1163.
Texto completoKiv, Arnold E., Vladyslav V. Bilous, Dmytro M. Bodnenko, Dmytro V. Horbatovskyi, Oksana S. Lytvyn y Volodymyr V. Proshkin. The development and use of mobile app AR Physics in physics teaching at the university. [б. в.], julio de 2021. http://dx.doi.org/10.31812/123456789/4629.
Texto completoYatsymirska, Mariya. SOCIAL EXPRESSION IN MULTIMEDIA TEXTS. Ivan Franko National University of Lviv, febrero de 2021. http://dx.doi.org/10.30970/vjo.2021.49.11072.
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