Academic literature on the topic 'Music listening and personality'
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Journal articles on the topic "Music listening and personality"
Hoshino, Etsuko. "Everyday listening to music among music students and their personality." Proceedings of the Annual Convention of the Japanese Psychological Association 79 (September 22, 2015): 2PM—009–2PM—009. http://dx.doi.org/10.4992/pacjpa.79.0_2pm-009.
Full textVuoskoski, Jonna K., William F. Thompson, Doris McIlwain, and Tuomas Eerola. "Who Enjoys Listening to Sad Music and Why?" Music Perception 29, no. 3 (December 2011): 311–17. http://dx.doi.org/10.1525/mp.2012.29.3.311.
Full textGreb, Fabian, Jochen Steffens, and Wolff Schlotz. "Understanding music-selection behavior via statistical learning." Music & Science 1 (January 1, 2018): 205920431875595. http://dx.doi.org/10.1177/2059204318755950.
Full textGupta, Uma. "Personality, Gender and Motives for Listening to Music." JOURNAL OF PSYCHOSOCIAL RESEARCH 13, no. 2 (January 25, 2019): 255–73. http://dx.doi.org/10.32381/jpr.2018.13.02.1.
Full textNave, Gideon, Juri Minxha, David M. Greenberg, Michal Kosinski, David Stillwell, and Jason Rentfrow. "Musical Preferences Predict Personality: Evidence From Active Listening and Facebook Likes." Psychological Science 29, no. 7 (March 27, 2018): 1145–58. http://dx.doi.org/10.1177/0956797618761659.
Full textLesiuk, Teresa, Alexander Pons, and Peter Polak. "Personality, Mood and Music Listening of Computer Information Systems Developers." Information Resources Management Journal 22, no. 2 (April 2009): 83–97. http://dx.doi.org/10.4018/irmj.2009040105.
Full textRosenberg, Nora, David M. Greenberg, and Michael E. Lamb. "Musical Engagement is Linked to Posttraumatic Resilience: The Role of Gender, Personality, and Music Listening Styles After Childhood Trauma." Music & Science 4 (January 1, 2021): 205920432199373. http://dx.doi.org/10.1177/2059204321993731.
Full textLesiuk, Teresa, Peter Polak, Joel Stutz, and Margot Hummer. "The Effect of Music Listening, Personality, and Prior Knowledge on Mood and Work Performance of Systems Analysts." International Journal of Human Capital and Information Technology Professionals 2, no. 3 (July 2011): 61–78. http://dx.doi.org/10.4018/jhcitp.2011070105.
Full textMay Alcott, Louisa. "The use of music often has a crucial role in the everyday life of patients with mental disorders." Psychology and Mental Health Care 1, no. 3 (November 30, 2017): 01–07. http://dx.doi.org/10.31579/2637-8892/016.
Full textŽivković, Vesna. "Listening to music in the context of developing and encouraging creative thinking in upper elementary school students." Norma 26, no. 2 (2021): 205–23. http://dx.doi.org/10.5937/norma2102205q.
Full textDissertations / Theses on the topic "Music listening and personality"
Schäfer, Thomas. "The Goals and Effects of Music Listening and Their Relationship to the Strength of Music Preference." Universitätsbibliothek Chemnitz, 2016. http://nbn-resolving.de/urn:nbn:de:bsz:ch1-qucosa-201941.
Full textScheirer, Eric David. "Music-listening systems." Thesis, Massachusetts Institute of Technology, 2000. http://hdl.handle.net/1721.1/31091.
Full textIncludes bibliographical references (p. [235]-248).
When human listeners are confronted with musical sounds, they rapidly and automatically orient themselves in the music. Even musically untrained listeners have an exceptional ability to make rapid judgments about music from very short examples, such as determining the music's style, performer, beat, complexity, and emotional impact. However, there are presently no theories of music perception that can explain this behavior, and it has proven very difficult to build computer music-analysis tools with similar capabilities. This dissertation examines the psychoacoustic origins of the early stages of music listening in humans, using both experimental and computer-modeling approaches. The results of this research enable the construction of automatic machine-listening systems that can make human-like judgments about short musical stimuli. New models are presented that explain the perception of musical tempo, the perceived segmentation of sound scenes into multiple auditory images, and the extraction of musical features from complex musical sounds. These models are implemented as signal-processing and pattern-recognition computer programs, using the principle of understanding without separation. Two experiments with human listeners study the rapid assignment of high-level judgments to musical stimuli, and it is demonstrated that many of the experimental results can be explained with a multiple-regression model on the extracted musical features. From a theoretical standpoint, the thesis shows how theories of music perception can be grounded in a principled way upon psychoacoustic models in a computational-auditory-scene-analysis framework. Further, the perceptual theory presented is more relevant to everyday listeners and situations than are previous cognitive-structuralist approaches to music perception and cognition. From a practical standpoint, the various models form a set of computer signal-processing and pattern-recognition tools that can mimic human perceptual abilities on a variety of musical tasks such as tapping along with the beat, parsing music into sections, making semantic judgments about musical examples, and estimating the similarity of two pieces of music.
Eric D. Scheirer.
Ph.D.
Conocimiento, Dirección de Gestión del. "Music Online: Listening." Alexander Street, 2004. http://hdl.handle.net/10757/655363.
Full textJehan, Tristan 1974. "Creating music by listening." Thesis, Massachusetts Institute of Technology, 2005. http://hdl.handle.net/1721.1/42172.
Full textIncludes bibliographical references (p. 127-139).
Machines have the power and potential to make expressive music on their own. This thesis aims to computationally model the process of creating music using experience from listening to examples. Our unbiased signal-based solution models the life cycle of listening, composing, and performing, turning the machine into an active musician, instead of simply an instrument. We accomplish this through an analysis-synthesis technique by combined perceptual and structural modeling of the musical surface, which leads to a minimal data representation. We introduce a music cognition framework that results from the interaction of psychoacoustically grounded causal listening, a time-lag embedded feature representation, and perceptual similarity clustering. Our bottom-up analysis intends to be generic and uniform by recursively revealing metrical hierarchies and structures of pitch, rhythm, and timbre. Training is suggested for top-down un-biased supervision, and is demonstrated with the prediction of downbeat. This musical intelligence enables a range of original manipulations including song alignment, music restoration, cross-synthesis or song morphing, and ultimately the synthesis of original pieces.
by Tristan Jehan.
Ph.D.
Belcher, James D. "An Examination of the Influence of Individual Differences, Music-Listening Motives, and Music Selection on Post-Listening Music Discussion." Kent State University / OhioLINK, 2010. http://rave.ohiolink.edu/etdc/view?acc_num=kent1277155907.
Full textCusano, Janice M. "Music specialists' beliefs and practices in teaching music listening /." Electronic version Electronic version, 2004. http://wwwlib.umi.com/dissertations/fullcit/3209909.
Full textComputer printout. Source: Dissertation Abstracts International, Volume: 67-03, Section: A, page: 0878. Adviser: Mary Goetze. Includes bibliographical references (leaves 205-223), abstract, and vita.
Stanley, Michael Brooke. "Participant music listening behaviours in interactive multimedia music instruction." University of Sydney. Music Education, 1999. http://hdl.handle.net/2123/361.
Full textO'Rourke, Michelle. "The ontology of generative music listening." Thesis, University of Newcastle upon Tyne, 2014. http://hdl.handle.net/10443/2764.
Full textLockhart, William. "Listening to the domestic music machine." Doctoral thesis, Humboldt-Universität zu Berlin, Philosophische Fakultät III, 2012. http://dx.doi.org/10.18452/16646.
Full textKeyboard arrangement was central to both the performing and the listening habits of the nineteenth-century non-professional musician. Not only did it respond to the desperate need for a cheap technology of musical circulation, but its immense popularity helped create a commercial musical publishing industry of an unprecedented scale. This thesis reconstructs for the first time the many faces of the keyboard arrangement by analysing it simultaneously as a musical work, an economic commodity and the object of a number of critical discourses. As a musical work, arrangement is shown to be a collection of practices, rather than, and as has been previously assumed, a self-contained product. Walter Benjamin''s theory of translation is combined with an analysis of the first extant keyboard arrangement in the Robertsbridge Codex of 1360 to construct a model which suggests that arrangements should be understood as resurrections of the material of their originals. The economic significance of keyboard arrangement is demonstrated through a computer-aided statistical analysis which shows that on average practices of arrangement appeared in 30 percent of the keyboard music published in German-speaking countries from 1829 to 1900. Significant attention is given to an attempt to reconstruct the critical discourses by which arrangements were assessed: in particular, musical dictionaries are used to produce a Begriffsgeschichte of several key terms relating to the production of arrangements. Finally, throughout the thesis, emphasis is placed on the extent to which the kinds of listening experience that arrangement engendered show similarities with those offered by popular musical styles of today, thereby opening up new avenues for research.
Krause, Amanda Elizabeth. "Research about listening: everyday music interactions." Thesis, Curtin University, 2014. http://hdl.handle.net/20.500.11937/314.
Full textBooks on the topic "Music listening and personality"
Listening to music. 4th ed. Belmont, CA: Thomson/Schirmer, 2004.
Find full textListening to music. 2nd ed. St. Paul/Minneapolis: West Pub. Co., 1996.
Find full textZorn, Jay D. Listening to music. Englewood Cliffs, N.J: Prentice Hall, 1991.
Find full textSousa, Chris De. Listening to music. London: Marshall Cavendish Corp., 1989.
Find full textWright, Craig M. Listening to music. 3rd ed. Australia: Wadsworth/Thomson Learning, 2000.
Find full textZorn, Jay. Listening to music. 2nd ed. Englewood Cliffs, N.J: Prentice Hall, 1995.
Find full textHoffer, Charles R. Music listening today. 5th ed. Boston, MA: Cengage Learning, 2012.
Find full textWright, Craig M. Listening to music. 2nd ed. St.Paul/Minneapolis: West, 1996.
Find full textHoffer, Charles R. Music listening today. 4th ed. Boston, MA: Schirmer Cengage Learning, 2010.
Find full textListening to music. St. Paul: West Pub. Co., 1992.
Find full textBook chapters on the topic "Music listening and personality"
Ottum, Josh. "Compost Listening." In Producing Music, 87–103. New York, NY : Routledge, 2019. | Series: Perspectives on music production series: Routledge, 2019. http://dx.doi.org/10.4324/9781315212241-6.
Full textGreen, Ben. "Listening together." In Peak Music Experiences, 90–103. London: Routledge, 2021. http://dx.doi.org/10.4324/9781003093244-6.
Full textZubillaga-Pow, Jun. "Symbolic listening." In Music—Psychoanalysis—Musicology, 151–63. Abingdon, Oxon; New York, NY: Routledge, 2018.: Routledge, 2017. http://dx.doi.org/10.4324/9781315596563-9.
Full textHoning, Henkjan. "Listening and learning." In Music Cognition, 138–41. London: Routledge, 2021. http://dx.doi.org/10.4324/9781003158301-13.
Full textHoning, Henkjan. "First listening experiences." In Music Cognition, 3–16. London: Routledge, 2021. http://dx.doi.org/10.4324/9781003158301-1.
Full textFallin, Jana R., Mollie Gregory Tower, and Debbie Tannert. "Listening." In Using Music to Enhance Student Learning, 71–89. 3rd ed. New York: Routledge, 2021. http://dx.doi.org/10.4324/9780429504525-7.
Full textKarch, Marziah. "Listening to Music." In Android Tablets Made Simple, 275–90. Berkeley, CA: Apress, 2011. http://dx.doi.org/10.1007/978-1-4302-3672-6_21.
Full textBonde, Lars Ole. "Embodied Music Listening." In The Routledge Companion to Embodied Music Interaction, 269–77. New York ; London : Routledge, 2017.: Routledge, 2017. http://dx.doi.org/10.4324/9781315621364-30.
Full textCornelius, Steven, and Mary Natvig. "Listening to Music." In MusicA Social Experience, 17–36. 3rd ed. New York: Routledge, 2021. http://dx.doi.org/10.4324/9781003155812-3.
Full textHugill, Andrew. "Listening to Music." In The Digital Musician, 43–55. Third edition. | New York ; London : Routledge, 2018.: Routledge, 2018. http://dx.doi.org/10.4324/9780203704219-3.
Full textConference papers on the topic "Music listening and personality"
Stramkale, Ligita. "The Independence of Primary School Students in Learning Music at a Distance during Covid-19 Pandemic." In 14th International Scientific Conference "Rural Environment. Education. Personality. (REEP)". Latvia University of Life Sciences and Technologies. Faculty of Engineering. Institute of Education and Home Economics, 2021. http://dx.doi.org/10.22616/reep.2021.14.022.
Full textШерстобитова, Светлана Николаевна, and Владислав Алексеевич Дмитриев. "METHODS AND TECHNIQUES FOR DEVELOPING EMOTIONAL RESPONSIBILITY IN CHILDREN OF OLDER PRESCHOOL AGE IN THE PROCESS OF ACTIVE LISTENING TO MUSIC." In Сборник избранных статей по материалам научных конференций ГНИИ «Нацразвитие» (Санкт-Петербург, Август 2022). Crossref, 2022. http://dx.doi.org/10.37539/aug331.2022.25.50.002.
Full textChowdhury, Nabila, Celine Latulipe, and James E. Young. "Listening Together while Apart: Intergenerational Music Listening." In CSCW '21: Computer Supported Cooperative Work and Social Computing. New York, NY, USA: ACM, 2021. http://dx.doi.org/10.1145/3462204.3481765.
Full textDias, Ricardo, Manuel J. Fonseca, and Daniel Gonçalves. "Music listening history explorer." In the 2012 ACM international conference. New York, New York, USA: ACM Press, 2012. http://dx.doi.org/10.1145/2166966.2167013.
Full textKostek, Bozena. "Listening to Live Music: Life Beyond Music Recommendation Systems." In 2018 Joint Conference - Acoustics. IEEE, 2018. http://dx.doi.org/10.1109/acoustics.2018.8502385.
Full textPetružálek, Jan, Denis Šefara, Marek Franěk, and Martin Kabeláč. "Scene perception while listening to music." In ETRA '18: 2018 Symposium on Eye Tracking Research and Applications. New York, NY, USA: ACM, 2018. http://dx.doi.org/10.1145/3204493.3204582.
Full textDias, Ricardo, Manuel J. Fonseca, and Daniel Gonçalves. "Interactive exploration of music listening histories." In the International Working Conference. New York, New York, USA: ACM Press, 2012. http://dx.doi.org/10.1145/2254556.2254637.
Full textFerwerda, Bruce, Marko Tkalcic, and Markus Schedl. "Personality Traits and Music Genres." In UMAP '17: 25th Conference on User Modeling, Adaptation and Personalization. New York, NY, USA: ACM, 2017. http://dx.doi.org/10.1145/3079628.3079693.
Full textLiu, Jen-Yu, and Yi-Hsuan Yang. "Inferring personal traits from music listening history." In the second international ACM workshop. New York, New York, USA: ACM Press, 2012. http://dx.doi.org/10.1145/2390848.2390856.
Full textKnees, Peter, Markus Schedl, and Rebecca Fiebrink. "Intelligent music interfaces for listening and creation." In IUI '19: 24th International Conference on Intelligent User Interfaces. New York, NY, USA: ACM, 2019. http://dx.doi.org/10.1145/3308557.3313110.
Full textReports on the topic "Music listening and personality"
Білоус, О. С. Український фольклор як засіб морально-естетичного становлення особистості школяра. ПДПУ ім. К. Д. Ушинського, 2002. http://dx.doi.org/10.31812/123456789/3317.
Full textMayas, Magda. Creating with timbre. Norges Musikkhøgskole, August 2018. http://dx.doi.org/10.22501/nmh-ar.686088.
Full textListening to music reduces pain and anxiety for patients having surgery. National Institute for Health Research, October 2015. http://dx.doi.org/10.3310/signal-000138.
Full textFunctional Music Use at Physical Culture Lessons During The Process of Personality Self-Development Mechanism Formation. Anatoly A. Opletin, December 2016. http://dx.doi.org/10.14526/01_1111_158.
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