Fundamentals of Music Processing

Fundamentals of Music Processing


  • Release: 2015-07-21
  • Publisher: Springer
  • Price: FREE
  • File: PDF, 487 page
  • ISBN: 9783319219455
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This textbook provides both profound technological knowledge and a comprehensive treatment of essential topics in music processing and music information retrieval. Including numerous examples, figures, and exercises, this book is suited for students, lecturers, and researchers working in audio engineering, computer science, multimedia, and musicology. The book consists of eight chapters. The first two cover foundations of music representations and the Fourier transform—concepts that are then used throughout the book. In the subsequent chapters, concrete music processing tasks serve as a starting point. Each of these chapters is organized in a similar fashion and starts with a general description of the music processing scenario at hand before integrating it into a wider context. It then discusses—in a mathematically rigorous way—important techniques and algorithms that are generally applicable to a wide range of analysis, classification, and retrieval problems. At the same time, the techniques are directly applied to a specific music processing task. By mixing theory and practice, the book’s goal is to offer detailed technological insights as well as a deep understanding of music processing applications. Each chapter ends with a section that includes links to the research literature, suggestions for further reading, a list of references, and exercises. The chapters are organized in a modular fashion, thus offering lecturers and readers many ways to choose, rearrange or supplement the material. Accordingly, selected chapters or individual sections can easily be integrated into courses on general multimedia, information science, signal processing, music informatics, or the digital humanities.

Fundamentals of Music Processing

Fundamentals of Music Processing


  • Release: 2016-10-29
  • Publisher: Springer
  • Price: FREE
  • File: PDF, 487 page
  • ISBN: 3319357654
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This textbook provides both profound technological knowledge and a comprehensive treatment of essential topics in music processing and music information retrieval. Including numerous examples, figures, and exercises, this book is suited for students, lecturers, and researchers working in audio engineering, computer science, multimedia, and musicology. The book consists of eight chapters. The first two cover foundations of music representations and the Fourier transform—concepts that are then used throughout the book. In the subsequent chapters, concrete music processing tasks serve as a starting point. Each of these chapters is organized in a similar fashion and starts with a general description of the music processing scenario at hand before integrating it into a wider context. It then discusses—in a mathematically rigorous way—important techniques and algorithms that are generally applicable to a wide range of analysis, classification, and retrieval problems. At the same time, the techniques are directly applied to a specific music processing task. By mixing theory and practice, the book’s goal is to offer detailed technological insights as well as a deep understanding of music processing applications. Each chapter ends with a section that includes links to the research literature, suggestions for further reading, a list of references, and exercises. The chapters are organized in a modular fashion, thus offering lecturers and readers many ways to choose, rearrange or supplement the material. Accordingly, selected chapters or individual sections can easily be integrated into courses on general multimedia, information science, signal processing, music informatics, or the digital humanities.

Fundamentals of Music Processing

Fundamentals of Music Processing


  • Release: 2021-05-16
  • Publisher: Springer
  • Price: FREE
  • File: PDF, 495 page
  • ISBN: 3030698076
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The textbook provides both profound technological knowledge and a comprehensive treatment of essential topics in music processing and music information retrieval (MIR). Including numerous examples, figures, and exercises, this book is suited for students, lecturers, and researchers working in audio engineering, signal processing, computer science, digital humanities, and musicology. The book consists of eight chapters. The first two cover foundations of music representations and the Fourier transform—concepts used throughout the book. Each of the subsequent chapters starts with a general description of a concrete music processing task and then discusses—in a mathematically rigorous way—essential techniques and algorithms applicable to a wide range of analysis, classification, and retrieval problems. By mixing theory and practice, the book’s goal is to offer detailed technological insights and a deep understanding of music processing applications. As a substantial extension, the textbook’s second edition introduces the FMP (fundamentals of music processing) notebooks, which provide additional audio-visual material and Python code examples that implement all computational approaches step by step. Using Jupyter notebooks and open-source web applications, the FMP notebooks yield an interactive framework that allows students to experiment with their music examples, explore the effect of parameter settings, and understand the computed results by suitable visualizations and sonifications. The FMP notebooks are available from the author’s institutional web page at the International Audio Laboratories Erlangen.

Signal Processing Methods for Music Transcription

Signal Processing Methods for Music Transcription


  • Release: 2007-02-26
  • Publisher: Springer Science & Business Media
  • Price: FREE
  • File: PDF, 440 page
  • ISBN: 9780387328454
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This book serves as an ideal starting point for newcomers and an excellent reference source for people already working in the field. Researchers and graduate students in signal processing, computer science, acoustics and music will primarily benefit from this text. It could be used as a textbook for advanced courses in music signal processing. Since it only requires a basic knowledge of signal processing, it is accessible to undergraduate students.

Information Retrieval for Music and Motion

Information Retrieval for Music and Motion


  • Release: 2007-09-09
  • Publisher: Springer Science & Business Media
  • Price: FREE
  • File: PDF, 318 page
  • ISBN: 9783540740483
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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.

Music Fundamentals for Musical Theatre

Music Fundamentals for Musical Theatre


  • Release: 2020-01-09
  • Publisher: Bloomsbury Publishing
  • Price: FREE
  • File: PDF, 296 page
  • ISBN: 9781350001770
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Musical theatre students and performers are frequently asked to learn musical material in a short space of time; sight-read pieces in auditions; collaborate with accompanists; and communicate musically with peers, directors, music directors and choreographers. Many of these students and performers will have had no formal musical training. This book offers a series of lessons in music fundamentals, including theory, sight-singing and aural tests, giving readers the necessary skills to navigate music and all that is demanded of them, without having had a formal music training. It focuses on the skills required of the musical theatre performer and draws on musical theatre repertoire in order to connect theory with practice. Throughout the book, each musical concept is laid out clearly and simply with helpful hints and reminders. The author takes the reader back to basics to ensure full understanding of each area. As the concepts begin to build on one another, the format and process is kept the same so that readers can see how different aspects interrelate. Through introducing theoretical ideas and putting each systematically into practice with sight-singing and ear-training, the students gain a much deeper and more integrated understanding of the material, and are able to retain it, using it in voice lessons, performance classes and their professional lives. The book is published alongside a companion website, which offers supporting material for the aural skills component and gives readers the opportunity to drill listening exercises individually and at their own pace. Music Fundamentals for Musical Theatre allows aspirational performers - and even those who aren't enrolled on a course - to access the key components of music training that will be essential to their careers.

Fundamentals of Spherical Array Processing

Fundamentals of Spherical Array Processing


  • Release: 2018-09-27
  • Publisher: Springer
  • Price: FREE
  • File: PDF, 193 page
  • ISBN: 9783319995618
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This book provides a comprehensive introduction to the theory and practice of spherical microphone arrays, and was written for graduate students, researchers and engineers who work with spherical microphone arrays in a wide range of applications. The new edition includes additions and modifications, and references supplementary Matlab code to provide the reader with a straightforward start for own implementations. The book is also accompanied by a Matlab manual, which explains how to implement the examples and simulations presented in the book. The first two chapters provide the reader with the necessary mathematical and physical background, including an introduction to the spherical Fourier transform and the formulation of plane-wave sound fields in the spherical harmonic domain. In turn, the third chapter covers the theory of spatial sampling, employed when selecting the positions of microphones to sample sound pressure functions in space. Subsequent chapters highlight various spherical array configurations, including the popular rigid-sphere-based configuration. Beamforming (spatial filtering) in the spherical harmonics domain, including axis-symmetric beamforming, and the performance measures of directivity index and white noise gain are introduced, and a range of optimal beamformers for spherical arrays, including those that achieve maximum directivity and maximum robustness are developed, along with the Dolph–Chebyshev beamformer. The final chapter discusses more advanced beamformers, such as MVDR (minimum variance distortionless response) and LCMV (linearly constrained minimum variance) types, which are tailored to the measured sound field. Mathworks kindly distributes the Matlab sources for this book on https://www.mathworks.com/matlabcentral/fileexchange/68655-fundamentals-of-spherical-array-processing.

Speech and Audio Signal Processing

Speech and Audio Signal Processing


  • Release: 2011-08-23
  • Publisher: John Wiley & Sons
  • Price: FREE
  • File: PDF, 661 page
  • ISBN: 9780470195369
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When Speech and Audio Signal Processing published in 1999,it stood out from its competition in its breadth of coverage andits accessible, intutiont-based style. This book was aimed atindividual students and engineers excited about the broad span ofaudio processing and curious to understand the availabletechniques. Since then, with the advent of the iPod in 2001,the field of digital audio and music has exploded, leading to amuch greater interest in the technical aspects of audioprocessing. This Second Edition will update and revise the originalbook to augment it with new material describing both the enablingtechnologies of digital music distribution (most significantly theMP3) and a range of exciting new research areas in automatic musiccontent processing (such as automatic transcription, musicsimilarity, etc.) that have emerged in the past five years, drivenby the digital music revolution. New chapter topics include: Psychoacoustic Audio Coding, describing MP3 and relatedaudio coding schemes based on psychoacoustic masking ofquantization noise Music Transcription, including automatically derivingnotes, beats, and chords from music signals. Music Information Retrieval, primarily focusing onaudio-based genre classification, artist/style identification, andsimilarity estimation. Audio Source Separation, including multi-microphonebeamforming, blind source separation, and the perception-inspiredtechniques usually referred to as Computational Auditory SceneAnalysis (CASA).

An Introduction to Audio Content Analysis

An Introduction to Audio Content Analysis


  • Release: 2012-11-05
  • Publisher: John Wiley & Sons
  • Price: FREE
  • File: PDF, 270 page
  • ISBN: 9781118393505
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With the proliferation of digital audio distribution over digital media, audio content analysis is fast becoming a requirement for designers of intelligent signal-adaptive audio processing systems. Written by a well-known expert in the field, this book provides quick access to different analysis algorithms and allows comparison between different approaches to the same task, making it useful for newcomers to audio signal processing and industry experts alike. A review of relevant fundamentals in audio signal processing, psychoacoustics, and music theory, as well as downloadable MATLAB files are also included. Please visit the companion website: www.AudioContentAnalysis.org

Analysis  Synthesis  and Perception of Musical Sounds

Analysis Synthesis and Perception of Musical Sounds


  • Release: 2007-08-30
  • Publisher: Springer Science & Business Media
  • Price: FREE
  • File: PDF, 328 page
  • ISBN: 9780387325767
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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.