Gotowa bibliografia na temat „Music and science”
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Artykuły w czasopismach na temat "Music and science"
Fallowfield, Ellen. "Sounding Science: Exploring Music in Science and Science in Music". Arts 4, nr 4 (19.12.2015): 121–22. http://dx.doi.org/10.3390/arts4040121.
Pełny tekst źródłaKozu, Yoshiyuki. "Music playing robots. Music in Science." Journal of the Robotics Society of Japan 14, nr 2 (1996): 160–63. http://dx.doi.org/10.7210/jrsj.14.160.
Pełny tekst źródłaDetournay, Stephane. "Music meets science". Nature 499, nr 7457 (lipiec 2013): 245. http://dx.doi.org/10.1038/nj7457-245a.
Pełny tekst źródłaWindle, Ralph. "Science and music". New Scientist 206, nr 2762 (maj 2010): 29. http://dx.doi.org/10.1016/s0262-4079(10)61320-6.
Pełny tekst źródłaHall, R. W. "MUSIC THEORY: Geometrical Music Theory". Science 320, nr 5874 (18.04.2008): 328–29. http://dx.doi.org/10.1126/science.1155463.
Pełny tekst źródłaGray, P. M. "BIOLOGY AND MUSIC: Enhanced: The Music of Nature and the Nature of Music". Science 291, nr 5501 (5.01.2001): 52–54. http://dx.doi.org/10.1126/science.10.1126/science.1056960.
Pełny tekst źródłaTramo, M. J. "BIOLOGY AND MUSIC: Enhanced: Music of the Hemispheres". Science 291, nr 5501 (5.01.2001): 54–56. http://dx.doi.org/10.1126/science.10.1126/science.1056899.
Pełny tekst źródłaAdu-Gilmore, Leila. "Accessing marginalized musics through adaptable, culturally sustaining music technology modules". Journal of Popular Music Education 7, nr 3 (1.09.2023): 317–34. http://dx.doi.org/10.1386/jpme_00130_1.
Pełny tekst źródłaLauria, Federico. "Affective Responses to Music: An Affective Science Perspective". Philosophies 8, nr 2 (23.02.2023): 16. http://dx.doi.org/10.3390/philosophies8020016.
Pełny tekst źródłaWerrett, Simon. "Disciplinary Culture: Artillery, Sound, and Science in Woolwich, 1800–1850". 19th-Century Music 39, nr 2 (2015): 87–98. http://dx.doi.org/10.1525/ncm.2015.39.2.87.
Pełny tekst źródłaRozprawy doktorskie na temat "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.
Pełny tekst źródłaLee, 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/.
Pełny tekst źródłaSepko, Delaina. "Curating music curation". Thesis, University of Glasgow, 2015. http://theses.gla.ac.uk/6357/.
Pełny tekst źródłaBoland, Daniel. "Engaging with music retrieval". Thesis, University of Glasgow, 2015. http://theses.gla.ac.uk/6727/.
Pełny tekst źródłaYu, ChÅ ng. "Computer generated music composition". Thesis, Massachusetts Institute of Technology, 1996. http://hdl.handle.net/1721.1/10901.
Pełny tekst źródłaYang, Fan M. Eng Massachusetts Institute of Technology. "Adaptive music recommendation system". Thesis, Massachusetts Institute of Technology, 2010. http://hdl.handle.net/1721.1/61584.
Pełny tekst źródłaCataloged 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.
Pełny tekst źródłaMost 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.
Pełny tekst źródłaB.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.
Pełny tekst źródłaOberholtzer, Josiah W. "A Computational Model of Music Composition". Thesis, Harvard University, 2015. http://nrs.harvard.edu/urn-3:HUL.InstRepos:17463123.
Pełny tekst źródłaMusic
Książki na temat "Music and science"
Jeans, James Hopwood. Science and music. New York: Cambridge University Press, 2009.
Znajdź pełny tekst źródłaHopwood, Jeans James. Science and music. New York: Cambridge University Press, 2009.
Znajdź pełny tekst źródłaHopwood, Jeans James. Science and music. New York: Cambridge University Press, 2009.
Znajdź pełny tekst źródłaCoulter, George. Science in music. Vero Beach, Fla: Rourke Publications, 1995.
Znajdź pełny tekst źródłaHopwood, Jeans James. Science and music. New York: Cambridge University Press, 2009.
Znajdź pełny tekst źródłaNeuenschwander, Erwin, i Laurence Bouquiaux, red. Science, Philosophy and Music. Turnhout: Brepols Publishers, 2002. http://dx.doi.org/10.1484/m.dda-eb.5.106675.
Pełny tekst źródłaBerger, Melvin. The science of music. New York: Crowell, 1989.
Znajdź pełny tekst źródłaTomecek, Steve. The Science of music. New York: Chelsea House, 2009.
Znajdź pełny tekst źródłaErwin, Neuenschwander, i Bouquiaux Laurence, red. Science, philosophy, and music. Turnhout, Belgium: Brepols, 2002.
Znajdź pełny tekst źródłaLevine, Shar. Science experiments with sound & music. New York: Sterling Pub., 2000.
Znajdź pełny tekst źródłaCzęści książek na temat "Music and science"
Di Francia, Giuliano Toraldo. "Music and Science". W Language, Quantum, Music, 327–38. Dordrecht: Springer Netherlands, 1999. http://dx.doi.org/10.1007/978-94-017-2043-4_29.
Pełny tekst źródłade Alencar, Marcelo Sampaio. "Music Styles". W Music Science, 205–18. New York: River Publishers, 2022. http://dx.doi.org/10.1201/9781003338895-17.
Pełny tekst źródłaMazzola, Guerino, Maria Mannone, Yan Pang, Margaret O’Brien i Nathan Torunsky. "Global Music". W Computational Music Science, 115–24. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-47334-5_13.
Pełny tekst źródłaMazzola, Guerino, Yan Pang, William Heinze, Kyriaki Gkoudina, Gian Afrisando Pujakusuma, Jacob Grunklee, Zilu Chen, Tianxue Hu i Yiqing Ma. "Music Transportation". W Computational Music Science, 163–72. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-00982-3_20.
Pełny tekst źródłade Alencar, Marcelo Sampaio. "Music and Mathematics". W Music Science, 29–45. New York: River Publishers, 2022. http://dx.doi.org/10.1201/9781003338895-3.
Pełny tekst źródłade Alencar, Marcelo Sampaio. "Note, Time, and Frequency". W Music Science, 167–73. New York: River Publishers, 2022. http://dx.doi.org/10.1201/9781003338895-13.
Pełny tekst źródłade Alencar, Marcelo Sampaio. "Scale Formation". W Music Science, 151–57. New York: River Publishers, 2022. http://dx.doi.org/10.1201/9781003338895-11.
Pełny tekst źródłade Alencar, Marcelo Sampaio. "Signal Analysis". W Music Science, 47–60. New York: River Publishers, 2022. http://dx.doi.org/10.1201/9781003338895-4.
Pełny tekst źródłade Alencar, Marcelo Sampaio. "Musical Terminology". W Music Science, 91–101. New York: River Publishers, 2022. http://dx.doi.org/10.1201/9781003338895-7.
Pełny tekst źródłade Alencar, Marcelo Sampaio. "Acoustics and Congnition". W Music Science, 115–27. New York: River Publishers, 2022. http://dx.doi.org/10.1201/9781003338895-9.
Pełny tekst źródłaStreszczenia konferencji na temat "Music and science"
De Roure, David, Graham Klyne, Kevin R. Page, John P. N. Pybus i David M. Weigl. "Music and Science". W DLfM '15: 2nd International Workshop on Digital Libraries for Musicology. New York, NY, USA: ACM, 2015. http://dx.doi.org/10.1145/2785527.2785530.
Pełny tekst źródłaRubinstein, Roy S. "Computer science projects with music". W the twenty-sixth SIGCSE technical symposium. New York, New York, USA: ACM Press, 1995. http://dx.doi.org/10.1145/199688.199823.
Pełny tekst źródłaSilla, Carlos N., Andre L. Przybysz, Andriano Rivolli, Thayna Gimenez, Carolina Barroso i Jessika Machado. "Girls, Music and Computer Science". W 2018 IEEE Frontiers in Education Conference (FIE). IEEE, 2018. http://dx.doi.org/10.1109/fie.2018.8658724.
Pełny tekst źródłaPeterson, John, i Greg Haynes. "Integrating Computer Science into Music Education". W 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.
Pełny tekst źródłaWANG, YANRU. "ANALYSIS OF MUSIC ART FORM FROM THE PERSPECTIVE OF MUSIC AESTHETICS". W 2023 9TH INTERNATIONAL SYMPOSIUM ON SOCIAL SCIENCE. Destech Publications, Inc., 2023. http://dx.doi.org/10.12783/dtssehs/isss2023/36063.
Pełny tekst źródłaW. L. Fong, Michelle. "Music in Cyberspace". W InSITE 2004: Informing Science + IT Education Conference. Informing Science Institute, 2004. http://dx.doi.org/10.28945/2831.
Pełny tekst źródłaHou, Yanshuang, i Xinglong Guo. "Music Creation Environment of Music Poetry". W 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.
Pełny tekst źródłaVidulin, Sabina. "MUSIC TEACHING AND LISTENING TO ART MUSIC IN THE FUNCTION OF STUDENTS’ HOLISTIC DEVELOPMENT". W SCIENCE AND TEACHING IN EDUCATIONAL CONTEXT. FACULTY OF EDUCATION IN UŽICE, UNIVERSITY OF KRAGUJEVAC, 2020. http://dx.doi.org/10.46793/stec20.391v.
Pełny tekst źródłaYe, Xiangyang. "Music Creation with Computer Music Production Software". W 2022 International Conference on Electronics and Devices, Computational Science (ICEDCS). IEEE, 2022. http://dx.doi.org/10.1109/icedcs57360.2022.00041.
Pełny tekst źródłaKusakunniran, Worapan, Attapol Prempanichnukul, Arthid Maneesutham, Kullachut Chocksawud, Suparus Tongsamui i Kittikhun Thongkanchorn. "Optical music recognition for traditional Thai sheet music". W 2014 International Computer Science and Engineering Conference (ICSEC). IEEE, 2014. http://dx.doi.org/10.1109/icsec.2014.6978187.
Pełny tekst źródłaRaporty organizacyjne na temat "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), październik 2021. http://dx.doi.org/10.2172/1826489.
Pełny tekst źródłaSun, Chenbing, Zhe Wang i 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, grudzień 2021. http://dx.doi.org/10.37766/inplasy2021.12.0128.
Pełny tekst źródłaNyman, Matt, Nancy Staus i Martin Storksdieck. Science and Art Teaching Practices for Oregon Elementary Teachers: Results of a Landscape Survey. Oregon State University, wrzesień 2023. http://dx.doi.org/10.5399/osu/1163.
Pełny tekst źródłaKiv, Arnold E., Vladyslav V. Bilous, Dmytro M. Bodnenko, Dmytro V. Horbatovskyi, Oksana S. Lytvyn i Volodymyr V. Proshkin. The development and use of mobile app AR Physics in physics teaching at the university. [б. в.], lipiec 2021. http://dx.doi.org/10.31812/123456789/4629.
Pełny tekst źródłaYatsymirska, Mariya. SOCIAL EXPRESSION IN MULTIMEDIA TEXTS. Ivan Franko National University of Lviv, luty 2021. http://dx.doi.org/10.30970/vjo.2021.49.11072.
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