The Music In The Data
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| Author | : Claus Weihs |
| Publisher | : CRC Press |
| Total Pages | : 694 |
| Release | : 2016-11-17 |
| Genre | : Business & Economics |
| ISBN | : 1498719570 |
This book provides a comprehensive overview of music data analysis, from introductory material to advanced concepts. It covers various applications including transcription and segmentation as well as chord and harmony, instrument and tempo recognition. It also discusses the implementation aspects of music data analysis such as architecture, user interface and hardware. It is ideal for use in university classes with an interest in music data analysis. It also could be used in computer science and statistics as well as musicology.
| Author | : Tao Li |
| Publisher | : CRC Press |
| Total Pages | : 372 |
| Release | : 2011-07-12 |
| Genre | : Business & Economics |
| ISBN | : 1439835551 |
The research area of music information retrieval has gradually evolved to address the challenges of effectively accessing and interacting large collections of music and associated data, such as styles, artists, lyrics, and reviews. Bringing together an interdisciplinary array of top researchers, Music Data Mining presents a variety of approaches to
| Author | : Thorsten Hennig-Thurau |
| Publisher | : Springer |
| Total Pages | : 879 |
| Release | : 2018-08-01 |
| Genre | : Business & Economics |
| ISBN | : 3319892924 |
The entertainment industry has long been dominated by legendary screenwriter William Goldman’s “Nobody-Knows-Anything” mantra, which argues that success is the result of managerial intuition and instinct. This book builds the case that combining such intuition with data analytics and rigorous scholarly knowledge provides a source of sustainable competitive advantage – the same recipe for success that is behind the rise of firms such as Netflix and Spotify, but has also fueled Disney’s recent success. Unlocking a large repertoire of scientific studies by business scholars and entertainment economists, the authors identify essential factors, mechanisms, and methods that help a new entertainment product succeed. The book thus offers a timely alternative to “Nobody-Knows” decision-making in the digital era: while coupling a good idea with smart data analytics and entertainment theory cannot guarantee a hit, it systematically and substantially increases the probability of success in the entertainment industry. Entertainment Science is poised to inspire fresh new thinking among managers, students of entertainment, and scholars alike. Thorsten Hennig-Thurau and Mark B. Houston – two of our finest scholars in the area of entertainment marketing – have produced a definitive research-based compendium that cuts across various branches of the arts to explain the phenomena that provide consumption experiences to capture the hearts and minds of audiences. Morris B. Holbrook, W. T. Dillard Professor Emeritus of Marketing, Columbia University Entertainment Science is a must-read for everyone working in the entertainment industry today, where the impact of digital and the use of big data can’t be ignored anymore. Hennig-Thurau and Houston are the scientific frontrunners of knowledge that the industry urgently needs. Michael Kölmel, media entrepreneur and Honorary Professor of Media Economics at University of Leipzig Entertainment Science’s winning combination of creativity, theory, and data analytics offers managers in the creative industries and beyond a novel, compelling, and comprehensive approach to support their decision-making. This ground-breaking book marks the dawn of a new Golden Age of fruitful conversation between entertainment scholars, managers, and artists. Allègre Hadida, Associate Professor in Strategy, University of Cambridge
| Author | : Kyle Devine |
| Publisher | : MIT Press |
| Total Pages | : 329 |
| Release | : 2019-10-15 |
| Genre | : Music |
| ISBN | : 0262537788 |
The hidden material histories of music. Music is seen as the most immaterial of the arts, and recorded music as a progress of dematerialization—an evolution from physical discs to invisible digits. In Decomposed, Kyle Devine offers another perspective. He shows that recorded music has always been a significant exploiter of both natural and human resources, and that its reliance on these resources is more problematic today than ever before. Devine uncovers the hidden history of recorded music—what recordings are made of and what happens to them when they are disposed of. Devine's story focuses on three forms of materiality. Before 1950, 78 rpm records were made of shellac, a bug-based resin. Between 1950 and 2000, formats such as LPs, cassettes, and CDs were all made of petroleum-based plastic. Today, recordings exist as data-based audio files. Devine describes the people who harvest and process these materials, from women and children in the Global South to scientists and industrialists in the Global North. He reminds us that vinyl records are oil products, and that the so-called vinyl revival is part of petrocapitalism. The supposed immateriality of music as data is belied by the energy required to power the internet and the devices required to access music online. We tend to think of the recordings we buy as finished products. Devine offers an essential backstory. He reveals how a range of apparently peripheral people and processes are actually central to what music is, how it works, and why it matters.
| Author | : Richard Kronland-Martinet |
| Publisher | : Springer Nature |
| Total Pages | : 726 |
| Release | : 2021-03-09 |
| Genre | : Computers |
| ISBN | : 3030702103 |
This book constitutes the refereed proceedings of the 14th International Symposium on Perception, Representations, Image, Sound, Music, CMMR 2019, held in Marseille, France, in October 2019. The 46 full papers presented were selected from 105 submissions. The papers are grouped in 9 sections. The first three sections are related to music information retrieval, computational musicology and composition tools, followed by a section on notations and instruments distributed on mobile devices. The fifth section concerns auditory perception and cognition, while the three following sections are related to sound design and sonic and musical interactions. The last section contains contributions that relate to Jean-Claude Risset's research.
| Author | : Christopher White |
| Publisher | : Routledge |
| Total Pages | : 0 |
| Release | : 2022 |
| Genre | : Music |
| ISBN | : 9781003285663 |
"Putting forward an extensive new argument for a humanities-based approach to big-data analysis, The Music in the Data shows how large datasets of music, or music corpora, can be productively integrated with the qualitative questions at the heart of music research. The author argues that as well as providing objective evidence, music corpora can themselves be treated as texts to be subjectively read and creatively interpreted, allowing new levels of understanding and insight into music traditions. Each chapter in this book asks how we define a core music-theory topic, such as style, harmony, meter, function, and musical key, and then approaches the topic through considering trends within large musical datasets, applying a combination of quantitative analysis and qualitative interpretation. Throughout, several basic techniques of data analysis are introduced and explained, with supporting materials available online. Connecting the empirical information from corpus analysis with theories of musical and textual meaning, and showing how each approach can enrich the other, this book provides a vital perspective for scholars and students in music theory, musicology, and all areas of music research"--
| Author | : Claus Weihs |
| Publisher | : CRC Press |
| Total Pages | : 531 |
| Release | : 2016-11-17 |
| Genre | : Business & Economics |
| ISBN | : 1315353830 |
This book provides a comprehensive overview of music data analysis, from introductory material to advanced concepts. It covers various applications including transcription and segmentation as well as chord and harmony, instrument and tempo recognition. It also discusses the implementation aspects of music data analysis such as architecture, user interface and hardware. It is ideal for use in university classes with an interest in music data analysis. It also could be used in computer science and statistics as well as musicology.
| Author | : David Meredith |
| Publisher | : Springer |
| Total Pages | : 483 |
| Release | : 2015-10-27 |
| Genre | : Computers |
| ISBN | : 3319259318 |
This book provides an in-depth introduction and overview of current research in computational music analysis. Its seventeen chapters, written by leading researchers, collectively represent the diversity as well as the technical and philosophical sophistication of the work being done today in this intensely interdisciplinary field. A broad range of approaches are presented, employing techniques originating in disciplines such as linguistics, information theory, information retrieval, pattern recognition, machine learning, topology, algebra and signal processing. Many of the methods described draw on well-established theories in music theory and analysis, such as Forte's pitch-class set theory, Schenkerian analysis, the methods of semiotic analysis developed by Ruwet and Nattiez, and Lerdahl and Jackendoff's Generative Theory of Tonal Music. The book is divided into six parts, covering methodological issues, harmonic and pitch-class set analysis, form and voice-separation, grammars and hierarchical reduction, motivic analysis and pattern discovery and, finally, classification and the discovery of distinctive patterns. As a detailed and up-to-date picture of current research in computational music analysis, the book provides an invaluable resource for researchers, teachers and students in music theory and analysis, computer science, music information retrieval and related disciplines. It also provides a state-of-the-art reference for practitioners in the music technology industry.
| Author | : Brian Longhurst |
| Publisher | : Polity |
| Total Pages | : 321 |
| Release | : 2007-05-07 |
| Genre | : Music |
| ISBN | : 0745631622 |
This new edition of Popular Music and Society, fully revised and updated, continues to pioneer an approach to the study of popular music that is informed by wider debates in sociology and media and cultural studies. Astute and accessible, it continues to set the agenda for research and teaching in this area. The textbook begins by examining the ways in which popular music is produced, before moving on to explore its structure as text and the ways in which audiences understand and use music. Packed with examples and data on the contemporary production and consumption of popular music, the book also includes overviews and critiques of theoretical approaches to this exciting area of study and outlines the most important empirical studies which have shaped the discipline. Topics covered include: • The contemporary organisation of the music industry; • The effects of technological change on production; • The history and politics of popular music; • Gender, sexuality and ethnicity; • Subcultures; • Fans and music celebrities. For this new edition, two whole new chapters have been added: on performance and the body, and on the very latest ways of thinking about audiences and the spaces and places of music consumption. This second edition of Popular Music and Society will continue to be required reading for students of the sociology of culture, media and communication studies, and popular culture.
| Author | : Giorgia Lupi |
| Publisher | : Chronicle Books |
| Total Pages | : 304 |
| Release | : 2016-09-13 |
| Genre | : Design |
| ISBN | : 1616895462 |
Equal parts mail art, data visualization, and affectionate correspondence, Dear Data celebrates "the infinitesimal, incomplete, imperfect, yet exquisitely human details of life," in the words of Maria Popova (Brain Pickings), who introduces this charming and graphically powerful book. For one year, Giorgia Lupi, an Italian living in New York, and Stefanie Posavec, an American in London, mapped the particulars of their daily lives as a series of hand-drawn postcards they exchanged via mail weekly—small portraits as full of emotion as they are data, both mundane and magical. Dear Data reproduces in pinpoint detail the full year's set of cards, front and back, providing a remarkable portrait of two artists connected by their attention to the details of their lives—including complaints, distractions, phone addictions, physical contact, and desires. These details illuminate the lives of two remarkable young women and also inspire us to map our own lives, including specific suggestions on what data to draw and how. A captivating and unique book for designers, artists, correspondents, friends, and lovers everywhere.
