Results for 'computer music'

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  1.  7
    Mapping dreams in a computational space: A phrase-level model for analyzing Fight/Flight and other typical situations in dream reports.Maja Gutman Music, Pavan Holur & Kelly Bulkeley - 2022 - Consciousness and Cognition 106 (C):103428.
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  2.  8
    Computer Music as a Path to Quantitative and Scientific Literacy.Hugh Berberich & Victor A. Stanionis - 1988 - Bulletin of Science, Technology and Society 8 (5):532-535.
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  3.  31
    “Does not compute”? Music as real-time communicative interaction.Ian Cross - 2013 - AI and Society 28 (4):415-430.
  4.  2
    Computers and musical style, the computer music and digital audio series, volume 6.Jonathan Berger - 1995 - Artificial Intelligence 79 (2):343-348.
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  5.  3
    Music, mind and machine: Studies in computer music, music cognition and artificial intelligence.Stephen W. Smoliar - 1995 - Artificial Intelligence 79 (2):361-371.
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  6.  31
    Computer-generated Music, Authorship, and Work Identity.Maria Elisabeth Reicher - 2015 - Grazer Philosophische Studien 91:107-130.
    In a paper entitled “Computer Composition and Works of Music: Variation on a Theme of Ingarden” (1988), Peter Simons explores some ontological problems that ensue from the use of certain forms of composition software, where the final outcome (the score) is the product of random processes within the computer. Such a method of composition raises, among others, the following questions: What kind of work (if any) has been created? Is it a work of music in the (...)
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  7.  16
    Child–Computer Interaction at the Beginner Stage of Music Learning: Effects of Reflexive Interaction on Children’s Musical Improvisation.Anna Rita Addessi, Filomena Anelli, Diber Benghi & Anders Friberg - 2017 - Frontiers in Psychology 8.
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  8.  28
    A Computational Model of Immanent Accent Salience in Tonal Music.Erica Bisesi, Anders Friberg & Richard Parncutt - 2019 - Frontiers in Psychology 10.
  9.  14
    Computing taste: algorithms and the makers of music recommendation.Nick Seaver - 2022 - Chicago: University of Chicago Press.
    For the people who make them, music recommender systems hold a utopian promise: they can broaden listeners' horizons and help obscure musicians find audiences, taking advantage of the enormous catalogs offered by companies like Spotify, Apple Music, and their kin. But for critics, recommender systems have come to epitomize the potential harms of algorithms: they seem to reduce expressive culture to numbers, they normalize ever-broadening data collection, and they profile their users for commercial ends, tearing the social fabric (...)
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  10.  11
    Computer models of (music) cognition.Geraint A. Wiggins - 2011 - In Patrick Rebuschat, Martin Rohrmeier, John A. Hawkins & Ian Cross (eds.), Language and Music as Cognitive Systems. Oxford University Press. pp. 169--188.
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  11.  10
    Entrepreneurship education-infiltrated computer-aided instruction system for college Music Majors using convolutional neural network.Hong Cao - 2022 - Frontiers in Psychology 13.
    The purpose is to improve the teaching and learning efficiency of college Innovation and Entrepreneurship Education. Firstly, from the perspective of aesthetic education, this work designs the teacher and student sides of the Computer-aided Instruction system. Secondly, the CAI model is implemented based on the weight sharing and local perception of the Convolutional Neural Network. Finally, the performance of the CNN-based CAI model is tested. Meanwhile, it analyses students’ IEE experience under the proposed CAI model through a case study (...)
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  12.  37
    Computational Approach to Musical Consonance and Dissonance.Lluis L. Trulla, Nicola Di Stefano & Alessandro Giuliani - 2018 - Frontiers in Psychology 9.
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  13.  20
    Computer Composition and Works of Music: Variation on A Theme of Ingarden.Peter M. Simons - 1988 - Journal of the British Society for Phenomenology 19 (2):141-154.
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  14.  14
    Computational Paradigm to Elucidate the Effects of Arts-Based Approaches: Art and Music Studies and Implications for Research and Therapy.Billie Sandak, Avi Gilboa & David Harel - 2020 - Frontiers in Psychology 11.
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  15.  6
    Discerning Musical Development: Using Computers to Discover What We Know.Larry Scripp - 1988 - The Journal of Aesthetic Education 22 (1):75.
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  16.  10
    Musical pragmatics and computer modelling Alan A. Marsden.Alan A. Marsden - 1995 - In Eero Tarasti (ed.), Musical Signification: Essays in the Semiotic Theory and Analysis of Music. Mouton de Gruyter. pp. 121--335.
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  17.  42
    Computer-Generated Art, Music, and Literature: Philosophical Conundrums.Joseph S. Fulda - 1993 - SIGART Bulletin 4 (1):6-7.
    Considers the question of the authorship of the works in the title from a /philosophical/, as opposed to legal, standpoint, using the sense-reference dichotomy, intension-extension dichotomy, and procedural knowledge-declarative knowledge dichotomy. Reaches no conclusion.
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  18.  8
    Evaluating Human-Computer Co-creative Processes in Music: A Case Study on the CHAMELEON Melodic Harmonizer.Asterios Zacharakis, Maximos Kaliakatsos-Papakostas, Stamatia Kalaitzidou & Emilios Cambouropoulos - 2021 - Frontiers in Psychology 12.
    CHAMELEON is a computational melodic harmonization assistant. It can harmonize a given melody according to a number of independent harmonic idioms or blends between idioms based on principles of conceptual blending theory. Thus, the system is capable of offering a wealth of possible solutions and viewpoints for melodic harmonization. This study investigates how human creativity may be influenced by the use of CHAMELEON in a melodic harmonization task. Professional and novice music composers participated in an experiment where they were (...)
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  19. Artificial Intelligence and Musical Composition: How Can Intelligent Computers Help Compose Music.C. Ames - 1990 - In R. Kurzweil (ed.), The Age of Intelligent Machines. MIT Press.
  20.  52
    An associative approach to computer-assisted music composition.Kevin Dahan - 2004 - Complexity 50 (5):5.
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  21.  17
    The Research of Computer Simulation of Textual Dimension in the Context of the Musical Discourse.Larysa Oriekhova, Petro Andriichuk, Tetyana Shnurenko, Volodymyr Horobets, Valentina Sinelnikova & Ivan Sinelnikov - 2022 - Postmodern Openings 13 (3):310-322.
    The relevance of the study is determined by the need to rethink musical art as a value orientation in the period of postmodernity. The purpose of the study is to determine the features of the textual dimension of musical discourse as a feature of the postmodern value perception of musical art in combination with the information and computerization of society. The purpose of the article is to show the basic context of the textual dimension of musical discourse. This research shows (...)
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  22.  44
    Man — A Musical Instrument: Models of the Brain and Mental Functioning before the Computer.Jamie C. Kassler - 1984 - History of Science 22 (1):59-92.
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  23.  5
    Cracking God’s roof: Manifestation and adaptation on the intuitive nature of creating electronic music with tablet computers.Willard G. Van De Bogart - 2020 - Technoetic Arts 18 (1):73-89.
    Electronic music is advancing not only in the way it is being used in performance but also in the technological sense, due to software developers advancing the ability of the synthesizer to enable the composer to create newer sounds. The introduction of the amino acid and protein synthesizers from MIT is one such example, along with sampling sounds from interstellar bodies through the process of sonification in order to create presets as additional source material for the composer’s palette. The (...)
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  24. The relationship between the neural computations for speech and music perception is context-dependent: an activation likelihood estimate study.Arianna LaCroix, Alvaro F. Diaz & Corianne Rogalsky - 2015 - Frontiers in Psychology 6:144900.
    The relationship between the neurobiology of speech and music has been investigated for more than a century. There remains no widespread agreement regarding how (or to what extent) music perception utilizes the neural circuitry that is engaged in speech processing, particularly at the cortical level. Prominent models such as Patel’s Shared Syntactic Integration Resource Hypothesis (SSIRH) and Koelsch’s neurocognitive model of music perception suggest a high degree of overlap, particularly in the frontal lobe, but also perhaps more (...)
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  25.  93
    Come on Baby, Light My Fire: Sparking Further Research in Socio-Affective Mechanisms of Music Using Computational Advancements.Ilana Harris & Mats B. Küssner - 2020 - Frontiers in Psychology 11.
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  26. On the ontological category of computer-generated music scores.Nemesio G. C. Puy - 2017 - Journal of Creative Music Systems 1 (2).
    This article is devoted to examining the ontological foundations of computer-generated music scores. Specifically, we focus on the categorial question, i.e., the inquiry that aims to determine the kind of ontological category that musical works belong to. This task involves considerations concerning the existence and persistence conditions for musical works, and it has consequences for the determination of what it is to compose a musical work. Our contention is that not all the possible answers to the categorial question (...)
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  27.  4
    An EEG Neurofeedback Interactive Model for Emotional Classification of Electronic Music Compositions Considering Multi-Brain Synergistic Brain-Computer Interfaces.Mingxing Liu - 2022 - Frontiers in Psychology 12.
    This paper presents an in-depth study and analysis of the emotional classification of EEG neurofeedback interactive electronic music compositions using a multi-brain collaborative brain-computer interface. Based on previous research, this paper explores the design and performance of sound visualization in an interactive format from the perspective of visual performance design and the psychology of participating users with the help of knowledge from various disciplines such as psychology, acoustics, aesthetics, neurophysiology, and computer science. This paper proposes a specific (...)
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  28. From formalism to experience: a Jamesian perspective on music, computing, and consciousness.Meurig Beynon - 2011 - In David Clarke & Eric F. Clarke (eds.), Music and Consciousness: Philosophical, Psychological, and Cultural Perspectives. Oxford University Press.
     
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  29. Extended music cognition.Luke Kersten - 2017 - Philosophical Psychology 30 (8):1078-1103.
    Discussions of extended cognition have increasingly engaged with the empirical and methodological practices of cognitive science and psychology. One topic that has received increased attention from those interested in the extended mind is music cognition. A number of authors have argued that music not only shapes emotional and cognitive processes, but also that it extends those processes beyond the bodily envelope. The aim of this paper is to evaluate the case for extended music cognition. Two accounts are (...)
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  30.  71
    Computer Art, Technology, and the Medium.Christopher Bartel - 2022 - Being and Value in Technology.
    Technological advancements often lead to revolutions in the creation of art; but, what is unclear is whether such advancements always correspond to revolutions regarding the artistic medium. The notion of an artistic medium is central to our thinking about, engagement with, and appreciation of art. Accounts of the interpretation, understanding, and experience of art must at some point grapple with the role of the artistic medium against such endeavors. Moreover, artists do not choose their medium by accident, but presumably do (...)
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  31.  32
    Musical friends and foes: The social cognition of affiliation and control in improvised interactions.Jean-Julien Aucouturier & Clément Canonne - 2017 - Cognition 161:94-108.
    A recently emerging view in music cognition holds that music is not only social and participatory in its production, but also in its perception, i.e. that music is in fact perceived as the sonic trace of social rela- tions between a group of real or virtual agents. While this view appears compatible with a number of intriguing music cognitive phenomena, such as the links between beat entrainment and prosocial behaviour or between strong musical emotions and empathy, (...)
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  32.  7
    Research on the teaching innovation model of undergraduate musical ecology course under computer network environment.Bo Wang - 2022 - Educational Philosophy and Theory 54 (7):992-1002.
    Education ecology is a new crossover research field in network age. Its research content can be either microscopic classroom teaching or macro educational ecology research on teaching and culture. The university music classroom is a special kind of ecology. The reason why this is special is that compared to natural ecology, the classroom ecology of university music has a unique relationship between the environment and the subject. The classroom is ecological and becomes the logical prerequisite for ecological research (...)
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  33. Music and Cognitive Extension.Luke Kersten - 2014 - Empirical Musicology Review 9 (3-4):193-202.
    Extended cognition holds that cognitive processes sometimes leak into the world (Dawson, 2013). A recent trend among proponents of extended cognition has been to put pressure on phenomena thought to be safe havens for internalists (Sneddon, 2011; Wilson, 2010; Wilson & Lenart, 2014). This paper attempts to continue this trend by arguing that music perception is an extended phenomenon. It is claimed that because music perception involves the detection of musical invariants within an “acoustic array”, the interaction between (...)
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  34.  15
    Formalized music.Iannis Xenakis - 1971 - Bloomington: Indiana University Press.
    Pendragon Press is proud to offer this new, revised, and expanded edition of Formalized Music, Iannis Xenakis's landmark book of 1971. In addition to three totally new chapters examining recent breakthroughs in music theory, two original computer programs illustrating the actual realization of newly proposed methods of composition, and an appendix of the very latest developments of stochastic synthesis as an invitation to future exploration, Xenakis offers a very critical self-examination of his theoretical propositions and artistic output (...)
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  35.  10
    Sudden Music: Improvisation, Sound, Nature.David Rothenberg (ed.) - 2016 - University of Georgia Press.
    Music, said Zen patriarch Hui Neng, "is a means of rapid transformation." It takes us home to a natural world that functions outside of logic, where harmony and dissonance, tension and release work in surprising ways. Weaving memoir, travelogue, and philosophical reflection, Sudden Music presents a musical way of knowing that can closely engage us with the world and open us to its spontaneity.Improvisation is everywhere, says David Rothenberg, and his book is a testament to its creative, surprising (...)
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  36.  10
    Decoding peak emotional responses to music from computational acoustic and lyrical features.Kazuma Mori - 2022 - Cognition 222 (C):105010.
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  37.  20
    Music in the digital age: commodity, community, communion.Ian Cross - 2023 - AI and Society 38 (6):2387-2400.
    Digital systems are reshaping how we engage with music as a sounding dimension of cultural life that is capable of being transformed into a commodity. At the same time, as we increasingly engage through digital media with each other and with virtual others, attributes of music that underpin our capacity to interact communicatively are disregarded or overlooked within those media. Even before the advent of technologies of music reproduction, music was susceptible to assimilation into economic acts (...)
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  38.  4
    Computational Creativity Research: Towards Creative Machines.Tarek R. Besold, Marco Schorlemmer & Alan Smaill (eds.) - 2014 - Springer, Atlantis Thinking Machines (Book 7), Atlantis.
    Computational Creativity, Concept Invention, and General Intelligence in their own right all are flourishing research disciplines producing surprising and captivating results that continuously influence and change our view on where the limits of intelligent machines lie, each day pushing the boundaries a bit further. By 2014, all three fields also have left their marks on everyday life – machine-composed music has been performed in concert halls, automated theorem provers are accepted tools in enterprises’ R&D departments, and cognitive architectures are (...)
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  39. Explaining the Computational Mind.Marcin Miłkowski - 2013 - MIT Press.
    In the book, I argue that the mind can be explained computationally because it is itself computational—whether it engages in mental arithmetic, parses natural language, or processes the auditory signals that allow us to experience music. All these capacities arise from complex information-processing operations of the mind. By analyzing the state of the art in cognitive science, I develop an account of computational explanation used to explain the capacities in question.
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  40.  51
    Embodied Music Cognition: Trouble Ahead, Trouble Behind.Jakub R. Matyja - 2016 - Frontiers in Psychology 7.
    The aim of this thesis is to argue in favour of the embodied music cognition paradigm, as opposed to traditional theories of musical mind. The thesis consists of three chapters. The goal of the first chapter is to examine computational music cognition, focusing on the main problem of this approach. In the second chapter, I will present and discuss Marc Leman’s EMC, that may serve as a response to the problems of the computational view of the musical mind. (...)
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  41.  33
    Quantum Computation and Logic: How Quantum Computers Have Inspired Logical Investigations.Giuseppe Sergioli, Roberto Leporini, Roberto Giuntini & Maria Dalla Chiara - 2018 - Cham, Switzerland: Springer Verlag.
    This book provides a general survey of the main concepts, questions and results that have been developed in the recent interactions between quantum information, quantum computation and logic. Divided into 10 chapters, the books starts with an introduction of the main concepts of the quantum-theoretic formalism used in quantum information. It then gives a synthetic presentation of the main “mathematical characters” of the quantum computational game: qubits, quregisters, mixtures of quregisters, quantum logical gates. Next, the book investigates the puzzling entanglement-phenomena (...)
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  42.  30
    Musical grouping as prosodic implementation.Jonah Katz - 2023 - Linguistics and Philosophy 46 (4):959-988.
    This paper reviews evidence concerning the nature of grouping in music and language and their interactions with other linguistic and musical systems. I present brief typological surveys of the relationship between constituency and acoustic parameters in language and music, drawing from a wide variety of languages and musical genres. The two domains both involve correspondence between auditory discontinuities and group boundaries, reflecting the Gestalt principles of proximity and similarity, as well as a nested, hierarchical organization of constituents. Typically, (...)
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  43.  70
    On music perception and cognition: Modularity, structure, and processing. [REVIEW]Lelio Camilleri - 1992 - Minds and Machines 2 (4):365-377.
    The paper treats issues concerning the modular modelisation of musical mental processes. Some musical phenomena, like musical illusions, are explained in the framework of modularity and hypotheses are advanced in which the modular model seems very promising for the study of musical perception and cognition. In addition, arguments are proposed to distinguish between levels of abstraction and knowledge in musical cognitive processes.Moreover, some aspects about the theory of musical competence and the theory of musical processing are identified and the possibilities (...)
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  44.  8
    Music and neuro-cognitive deficits in depression.Prathima A. Raghavendra, Shantala Hegde, Mariamma Philip & Muralidharan Kesavan - 2022 - Frontiers in Psychology 13.
    BackgroundCognitive deficits are one of the core features of major depressive disorder that play crucial role in functional recovery. Studies have explored cognitive deficits in MDD, however, given inconsistent results, especially in mild-moderate MDD. Recently, studies have explored music as cognitive ability in various clinical conditions. In MDD, large focus has been on evaluating emotion deficits and just a handful on music cognition. With growing evidence on use of music based intervention to target cognitive deficits, it is (...)
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  45.  32
    Perceiving temporal regularity in music.Edward W. Large & Caroline Palmer - 2002 - Cognitive Science 26 (1):1-37.
    We address how listeners perceive temporal regularity in music performances, which are rich in temporal irregularities. A computational model is described in which a small system of internal self‐sustained oscillations, operating at different periods with specific phase and period relations, entrains to the rhythms of music performances. Based on temporal expectancies embodied by the oscillations, the model predicts the categorization of temporally changing event intervals into discrete metrical categories, as well as the perceptual salience of deviations from these (...)
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  46. The Sound of Music: Externalist Style.Luke Kersten & Robert A. Wilson - 2016 - American Philosophical Quarterly 53 (2):139-154.
    Philosophical exploration of individualism and externalism in the cognitive sciences most recently has been focused on general evaluations of these two views (Adams & Aizawa 2008, Rupert 2008, Wilson 2004, Clark 2008). Here we return to broaden an earlier phase of the debate between individualists and externalists about cognition, one that considered in detail particular theories, such as those in developmental psychology (Patterson 1991) and the computational theory of vision (Burge 1986, Segal 1989). Music cognition is an area in (...)
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  47.  5
    Connectionist representations of tonal music: discovering musical patterns by interpreting artificial neural networks.Michael Robert William Dawson - 2018 - Edmonton, Alberta: AU Press.
    Intended to introduce readers to the use of artificial neural networks in the study of music, this volume contains numerous case studies and research findings that address problems related to identifying scales, keys, classifying musical chords, and learning jazz chord progressions. A detailed analysis of networks is provided for each case study which together demonstrate that focusing on the internal structure of trained networks could yield important contributions to the field of music cognition.
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  48.  1
    Digital music art through the prism of interdisciplinarity.Пирязева Е.Н - 2020 - Philosophy and Culture (Russian Journal) 12:25-39.
    The processes taking place in modern science tend to integrate various scientific disciplines in studying any scientific phenomenon. This explains the search of methodology based on the techniques of different sciences involved in formation of the subject of research, which in this article is represented by the digital music art. Interpreted as a branch of music art with digital specificity, digital music art incorporates electronic music presented by specific, algorithmic, and electronic music. A signature characteristic (...)
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  49.  18
    Music, discourse and intuitive technology.Jonathan Impett - 2021 - AI and Society:1-12.
    This paper proposes that intuitive technologies play a vital role in cognition and cultural reception. The case of music is considered in particular. The perceived temporality of contemporary technology is shown to be an artificial barrier to the acknowledgement of longer-term dynamics. The increased role of explanatory metaphors from technology is traced across various fields of study. Processes of sense-making—conscious or otherwise—are seen as an informal, unreflected repertory of mechanisms ranging from predictive models to instrumental metaphors. It is suggested (...)
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  50.  11
    Sonic technologies: popular music, digital culture and the creative process.Robert Strachan - 2017 - New York, NY: Bloomsbury Academic.
    In the past two decades digital technologies have fundamentally changed the way we think about, make and use popular music. From the production of multimillion selling pop records to the ubiquitous remix that has become a marker of Web 2.0, the emergence of new music production technologies have had a transformative effect upon 21st Century digital culture. Sonic Technologies examines these issues with a specific focus upon the impact of digitization upon creativity; that is, what musicians, cultural producers (...)
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