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Music Data Analysis
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Book Synopsis Music Data Analysis by : Claus Weihs
Download or read book Music Data Analysis written by Claus Weihs and published by CRC Press. This book was released on 2016-11-17 with total page 694 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Music Data Analysis by : Claus Weihs
Download or read book Music Data Analysis written by Claus Weihs and published by CRC Press. This book was released on 2016-11-17 with total page 531 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Entertainment Science by : Thorsten Hennig-Thurau
Download or read book Entertainment Science written by Thorsten Hennig-Thurau and published by Springer. This book was released on 2018-08-01 with total page 865 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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
Book Synopsis Computational Music Analysis by : David Meredith
Download or read book Computational Music Analysis written by David Meredith and published by Springer. This book was released on 2015-10-27 with total page 483 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Design and Analysis for Quantitative Research in Music Education by : Peter Miksza
Download or read book Design and Analysis for Quantitative Research in Music Education written by Peter Miksza and published by Oxford University Press. This book was released on 2018 with total page 305 pages. Available in PDF, EPUB and Kindle. Book excerpt: In recent years, academics and professionals in the social sciences have forged significant advances in quantitative research methodologies specific to their respective disciplines. Although new and sophisticated techniques for large-scale data analyses have become commonplace in general educational, psychological, sociological, and econometric fields, many researchers in music education have yet to be exposed to such techniques. Design and Analysis of Quantitative Research in Music Education is a comprehensive reference for those involved with research in music education and related fields, providing a foundational understanding of quantitative inquiry methods. Authors Peter Miksza and Kenneth Elpus update and expand the set of resources that music researchers have at their disposal for conceptualizing and analyzing data pertaining to music-related phenomena. This text is designed to familiarize readers with foundational issues of quantitative inquiry as a point of view, introduce and elaborate upon issues of fundamental quantitative research design and analysis, and expose researchers to new, innovative, and exciting methods for dealing with complex research questions and analyzing large samples of data in a rigorous and thorough manner. With this resource, researchers will be better equipped for dealing with the challenges of the increasingly information-rich and data-driven environment surrounding music education. An accompanying companion website provides valuable supplementary exercises and videos.
Book Synopsis From Data to Decisions in Music Education Research by : Brian C. Wesolowski
Download or read book From Data to Decisions in Music Education Research written by Brian C. Wesolowski and published by Taylor & Francis. This book was released on 2022-02-22 with total page 520 pages. Available in PDF, EPUB and Kindle. Book excerpt: From Data to Decisions in Music Education Research provides a structured and hands-on approach to working with empirical data in the context of music education research. Using step-by-step tutorials with in-depth examples of music education data, this book draws upon concepts in data science and statistics to provide a comprehensive framework for working with a variety of data and solving data-driven problems. All of the skills presented here use the R programming language, a free, open-source statistical computing and graphics environment. Using R enables readers to refine their computational thinking abilities and data literacy skills while facilitating reproducibility, replication, and transparency of data analysis in the field. The book offers: A clear and comprehensive framework for thinking about data analysis processes in a music education context. An overview of common data structures and data types used in statistical programming and data analytics. Techniques for cleaning, preprocessing, manipulating, aggregating, and mining data in ways that facilitate organization and interpretation. Methods for summarizing and visualizing data to help identify structures, patterns, and trends within data sets. Detailed applications of descriptive, diagnostic, and predictive analytics processes. Step-by-step code for all concepts and analyses. Direct access to all data sets and R script files through the accompanying eResource. From Data to Decisions in Music Education Research offers a reference "cookbook" of code and programming recipes written with the graduate music education student in mind and breaks down data analysis processes and skills in an approachable fashion. It can be used across a wide range of graduate music education courses that rely on the application of empirical data analyses and will be useful to all music education scholars and professionals seeking to enhance their use of quantitative data.
Download or read book Music Data Mining written by Tao Li and published by CRC Press. This book was released on 2011-07-12 with total page 372 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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
Book Synopsis Statistics in Music Education Research by : Joshua A. Russell
Download or read book Statistics in Music Education Research written by Joshua A. Russell and published by Oxford University Press. This book was released on 2018 with total page 353 pages. Available in PDF, EPUB and Kindle. Book excerpt: In Statistics in Music Education Research, author Joshua Russell explains the process of using a range of statistical analyses from inception to research design to data entry to final analysis using understandable descriptions and examples from extant music education research. He explores four main aspects of music education research: understanding logical concepts of statistical procedures and their outcomes; critiquing the use of different procedures in extant and developing research; applying the correct statistical model for not only any given dataset, but also the correct logic determining which model to employ; and reporting the results of a given statistical procedure clearly and in a way that provides adequate information for the reader to determine if the data analysis is accurate and interpretable. While it is written predominately for graduate students in music education courses, Statistics in Music Education Research will also help music education researchers and teachers of music educators gain a better understanding of how parametric statistics are employed and interpreted in music education.
Book Synopsis Penelope Pie's Pizza Party by : Liv Buli
Download or read book Penelope Pie's Pizza Party written by Liv Buli and published by . This book was released on 2018-11 with total page 28 pages. Available in PDF, EPUB and Kindle. Book excerpt: Help Penelope figure out how to solve the puzzle and make sure all the guests at her birthday party can enjoy their favorite slice of pizza pie! Penelope prefers plain, but Barnaby Barchart, Laney Line, and Bertie Boxplot all have a favorite topping. Penelope Pie's Pizza Party is the first book in the Vizkidz series. Delving into these stories, kids will learn how to compare data sets in a bar chart, that pie charts best illustrate parts of a whole, that correlation does not equal causation, and other valuable lessons about the fundamentals of data analytics. Data collection and analysis has become core to almost every industry and function in society today, but data literacy is lagging behind. The amount of information we process every day can be of massive value, but only if we are able to keep up. Through their fun-filled adventures and number-crunching challenges our Vizkidz help young readers explore the fundamentals of data analytics and computational thinking. In a STEM-centric digital world, these are skills kids definitely need for the future.
Book Synopsis Challenges at the Interface of Data Analysis, Computer Science, and Optimization by : Wolfgang Gaul
Download or read book Challenges at the Interface of Data Analysis, Computer Science, and Optimization written by Wolfgang Gaul and published by Springer Science & Business Media. This book was released on 2012-02-09 with total page 560 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume provides approaches and solutions to challenges occurring at the interface of research fields such as data analysis, computer science, operations research, and statistics. It includes theoretically oriented contributions as well as papers from various application areas, where knowledge from different research directions is needed to find the best possible interpretation of data for the underlying problem situations. Beside traditional classification research, the book focuses on current interests in fields such as the analysis of social relationships as well as statistical musicology.
Book Synopsis Perception-Based Data Processing in Acoustics by : Bozena Kostek
Download or read book Perception-Based Data Processing in Acoustics written by Bozena Kostek and published by Springer Science & Business Media. This book was released on 2005-08-19 with total page 440 pages. Available in PDF, EPUB and Kindle. Book excerpt: This monograph provides novel insights into cognitive mechanisms underlying the processing of sound and music in different environments. A solid understanding of these mechanisms is vital for numerous technological applications such as for example information retrieval from distributed musical databases or building expert systems. In order to investigate the cognitive mechanisms of music perception fundamentals of hearing psychophysiology and principles of music perception are presented. In addition, some computational intelligence methods are reviewed, such as rough sets, fuzzy logic, artificial neural networks, decision trees and genetic algorithms. The applications of hybrid decision systems to problem solving in music and acoustics are exemplified and discussed on the basis of obtained experimental results.
Book Synopsis Analysis, Synthesis, and Perception of Musical Sounds by : James Beauchamp
Download or read book Analysis, Synthesis, and Perception of Musical Sounds written by James Beauchamp and published by Springer Science & Business Media. This book was released on 2007-08-30 with total page 348 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book contains a complete and accurate mathematical treatment of the sounds of music with an emphasis on musical timbre. The book spans the range from tutorial introduction to advanced research and application to speculative assessment of its various techniques. All the contributors use a generalized additive sine wave model for describing musical timbre which gives a conceptual unity, but is of sufficient utility to be adapted to many different tasks.
Book Synopsis Sentiment Analysis of Music using Statistics and Machine Learning by : Aakash Mukherjee
Download or read book Sentiment Analysis of Music using Statistics and Machine Learning written by Aakash Mukherjee and published by Sanctum Books. This book was released on 2022-10-16 with total page 78 pages. Available in PDF, EPUB and Kindle. Book excerpt: Sentiment analysis and prediction of contemporary Music can have a wide range of applications in modern society, for instance, selecting music for public institutions such as hospitals or restaurants to potentially improve the emotional well-being of personnel, patients, and customers respectively. In this project, a music recommendation system is built upon a Naive Bayes Classifier trained to predict the sentiment of songs based on song lyrics alone. Online streaming platforms have become one of the most important forms of music consumption. Most streaming platforms provide tools to assess the popularity of a song in the forms of scores and rankings. In this book, we address two issues related to song popularity. First, we predict whether an already popular song may attract higher-than-average public interest and become viral. Second, we predict whether sudden spikes in the public interest will translate into long-term popularity growth. We base our findings on data from the streaming platform Billboard, Spotify, and consider appearances in its "Most-Popular" list as indicative of popularity, and appearances in its "Virals" list as indicative of interest growth. We approach the problem as a classification task and employ a Support Vector Machine model built on popularity information to predict interest, and vice versa.
Book Synopsis Information Retrieval for Music and Motion by : Meinard Müller
Download or read book Information Retrieval for Music and Motion written by Meinard Müller and published by Springer Science & Business Media. This book was released on 2007-09-09 with total page 319 pages. Available in PDF, EPUB and Kindle. Book excerpt: Content-based multimedia retrieval is a challenging research field with many unsolved problems. This monograph details concepts and algorithms for robust and efficient information retrieval of two different types of multimedia data: waveform-based music data and human motion data. It first examines several approaches in music information retrieval, in particular general strategies as well as efficient algorithms. The book then introduces a general and unified framework for motion analysis, retrieval, and classification, highlighting the design of suitable features, the notion of similarity used to compare data streams, and data organization.
Book Synopsis Feature Engineering for Machine Learning and Data Analytics by : Guozhu Dong
Download or read book Feature Engineering for Machine Learning and Data Analytics written by Guozhu Dong and published by CRC Press. This book was released on 2018-03-14 with total page 400 pages. Available in PDF, EPUB and Kindle. Book excerpt: Feature engineering plays a vital role in big data analytics. Machine learning and data mining algorithms cannot work without data. Little can be achieved if there are few features to represent the underlying data objects, and the quality of results of those algorithms largely depends on the quality of the available features. Feature Engineering for Machine Learning and Data Analytics provides a comprehensive introduction to feature engineering, including feature generation, feature extraction, feature transformation, feature selection, and feature analysis and evaluation. The book presents key concepts, methods, examples, and applications, as well as chapters on feature engineering for major data types such as texts, images, sequences, time series, graphs, streaming data, software engineering data, Twitter data, and social media data. It also contains generic feature generation approaches, as well as methods for generating tried-and-tested, hand-crafted, domain-specific features. The first chapter defines the concepts of features and feature engineering, offers an overview of the book, and provides pointers to topics not covered in this book. The next six chapters are devoted to feature engineering, including feature generation for specific data types. The subsequent four chapters cover generic approaches for feature engineering, namely feature selection, feature transformation based feature engineering, deep learning based feature engineering, and pattern based feature generation and engineering. The last three chapters discuss feature engineering for social bot detection, software management, and Twitter-based applications respectively. This book can be used as a reference for data analysts, big data scientists, data preprocessing workers, project managers, project developers, prediction modelers, professors, researchers, graduate students, and upper level undergraduate students. It can also be used as the primary text for courses on feature engineering, or as a supplement for courses on machine learning, data mining, and big data analytics.
Author :Richard Osborne Publisher :Contemporary Music Making and Learning ISBN 13 :9781789382532 Total Pages :0 pages Book Rating :4.3/5 (825 download)
Book Synopsis Music by Numbers by : Richard Osborne
Download or read book Music by Numbers written by Richard Osborne and published by Contemporary Music Making and Learning. This book was released on 2021 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: The music industries are fuelled by statistics: sales targets, breakeven points, success ratios, royalty splits, website hits, ticket revenues, listener figures, piracy abuses and big data. Statistics are of consequence. They influence the music that consumers get to hear, they determine the revenues of music makers, and they shape the policies of governments and legislators. Yet many of these statistics are generated by the music industries themselves, and their accuracy can be questioned. This original new book sets out to explore this shadowy terrain. While there are books that offer guidelines about how the music industries work, as well as critiques from academics about the policies of music companies, this is the first book that takes a sustained look at these subjects from a statistical angle. This is particularly significant as statistics have not just been used to explain the music industries, they are also essential to the ways that the industries work: they drive signing policy, contractual policy, copyright policy, economic policy and understandings of consumer behaviour. This edited collection provides the first in-depth examination of the use and abuse of statistics in the music industries. The international group of contributors are noted music business scholars and practitioners in the field. The book addresses five key areas in which numbers are employed: sales and awards; royalties and distribution; music piracy; music policy; and audiences and their uses of music. The authors address these subjects from a range of perspectives. Some of them test the veracity of this data and explore its tactical use by music businesses. Others are helping to generate these numbers: they are developing surveys and online projects and offer candid self-observations in this volume. There are also authors who have been subject to statistics; they deliver first-hand accounts of music industry reporting. The digital age is inherently numerical. Within the music industries this has prompted new ways of tracking the usage and recompense of music. In addition, it has generated new means of monitoring and engaging audience behaviour. It has also led to increased documentation of the trade. There is more reporting of the overall revenues of music industry sectors. There is also more engagement between industry and academia when it comes to conducting analyses and offering numerical recommendations to politicians. The aim of this collection is to expose the culture and politics of data. Music industry statistics are all-pervasive, yet because of this ubiquity they have been under-explored. This book provides new ways by which to learn music by numbers. A timely examination of how data and statistics are key to the music industries. Widely held industry assumptions are challenged with data from a variety of sources and in an engaging, lucid manner. Highly recommended for anyone with an interest in how the music business uses and manipulates the data that digital technologies have made available. Primary readership will be among popular music academics, undergraduate and postgraduate students working in the fields of popular music studies, music business, media studies, cultural studies, sociology and creative industries. The book will also be of interest to people working within the music industries and to those whose work encounters industry statistics.
Book Synopsis Music and Probability by : David Temperley
Download or read book Music and Probability written by David Temperley and published by MIT Press. This book was released on 2007 with total page 257 pages. Available in PDF, EPUB and Kindle. Book excerpt: Exploring the application of Bayesian probabilistic modeling techniques to musical issues, including the perception of key and meter.
