An Introduction To Audio Content Analysis

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An Introduction to Audio Content Analysis

Alexander Lerch
An Introduction to Audio Content Analysis Book PDF

Author : Alexander Lerch
Publisher : John Wiley & Sons
Page : 467 pages
File Size : 48,6 Mb
Release : 2022-12-08
Category : Technology & Engineering
ISBN : 9781119890942

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An Introduction to Audio Content Analysis by Alexander Lerch Pdf

An Introduction to Audio Content Analysis Enables readers to understand the algorithmic analysis of musical audio signals with AI-driven approaches An Introduction to Audio Content Analysis serves as a comprehensive guide on audio content analysis explaining how signal processing and machine learning approaches can be utilized for the extraction of musical content from audio. It gives readers the algorithmic understanding to teach a computer to interpret music signals and thus allows for the design of tools for interacting with music. The work ties together topics from audio signal processing and machine learning, showing how to use audio content analysis to pick up musical characteristics automatically. A multitude of audio content analysis tasks related to the extraction of tonal, temporal, timbral, and intensity-related characteristics of the music signal are presented. Each task is introduced from both a musical and a technical perspective, detailing the algorithmic approach as well as providing practical guidance on implementation details and evaluation. To aid in reader comprehension, each task description begins with a short introduction to the most important musical and perceptual characteristics of the covered topic, followed by a detailed algorithmic model and its evaluation, and concluded with questions and exercises. For the interested reader, updated supplemental materials are provided via an accompanying website. Written by a well-known expert in the music industry, sample topics covered in Introduction to Audio Content Analysis include: Digital audio signals and their representation, common time-frequency transforms, audio features Pitch and fundamental frequency detection, key and chord Representation of dynamics in music and intensity-related features Beat histograms, onset and tempo detection, beat histograms, and detection of structure in music, and sequence alignment Audio fingerprinting, musical genre, mood, and instrument classification An invaluable guide for newcomers to audio signal processing and industry experts alike, An Introduction to Audio Content Analysis covers a wide range of introductory topics pertaining to music information retrieval and machine listening, allowing students and researchers to quickly gain core holistic knowledge in audio analysis and dig deeper into specific aspects of the field with the help of a large amount of references.

An Introduction to Audio Content Analysis

Alexander Lerch
An Introduction to Audio Content Analysis Book PDF

Author : Alexander Lerch
Publisher : John Wiley & Sons
Page : 273 pages
File Size : 54,7 Mb
Release : 2012-11-05
Category : Technology & Engineering
ISBN : 9781118393505

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An Introduction to Audio Content Analysis by Alexander Lerch Pdf

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

Introduction to Audio Analysis

Theodoros Giannakopoulos,Aggelos Pikrakis
Introduction to Audio Analysis Book PDF

Author : Theodoros Giannakopoulos,Aggelos Pikrakis
Publisher : Academic Press
Page : 288 pages
File Size : 55,7 Mb
Release : 2014-02-15
Category : Computers
ISBN : 9780080993898

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Introduction to Audio Analysis by Theodoros Giannakopoulos,Aggelos Pikrakis Pdf

Introduction to Audio Analysis serves as a standalone introduction to audio analysis, providing theoretical background to many state-of-the-art techniques. It covers the essential theory necessary to develop audio engineering applications, but also uses programming techniques, notably MATLAB®, to take a more applied approach to the topic. Basic theory and reproducible experiments are combined to demonstrate theoretical concepts from a practical point of view and provide a solid foundation in the field of audio analysis. Audio feature extraction, audio classification, audio segmentation, and music information retrieval are all addressed in detail, along with material on basic audio processing and frequency domain representations and filtering. Throughout the text, reproducible MATLAB® examples are accompanied by theoretical descriptions, illustrating how concepts and equations can be applied to the development of audio analysis systems and components. A blend of reproducible MATLAB® code and essential theory provides enable the reader to delve into the world of audio signals and develop real-world audio applications in various domains. Practical approach to signal processing: The first book to focus on audio analysis from a signal processing perspective, demonstrating practical implementation alongside theoretical concepts Bridge the gap between theory and practice: The authors demonstrate how to apply equations to real-life code examples and resources, giving you the technical skills to develop real-world applications Library of MATLAB code: The book is accompanied by a well-documented library of MATLAB functions and reproducible experiments

Introduction to Audio Processing

Mads G. Christensen
Introduction to Audio Processing Book PDF

Author : Mads G. Christensen
Publisher : Springer
Page : 224 pages
File Size : 46,8 Mb
Release : 2019-03-30
Category : Technology & Engineering
ISBN : 9783030117818

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Introduction to Audio Processing by Mads G. Christensen Pdf

This textbook presents an introduction to signal processing for audio applications. The author’s approach posits that math is at the heart of audio processing and that it should not be simplified. He thus retains math as the core of signal processing and includes concepts of difference equations, convolution, and the Fourier Transform. Each of these is presented in a context where they make sense to the student and can readily be applied to build artifacts. Each chapter in the book builds on the previous ones, building a linear, coherent story. The book starts with a definition of sound and goes on to discuss digital audio signals, filters, The Fourier Transform, audio effects, spatial effects, audio equalizers, dynamic range control, and pitch estimation. The exercises in each chapter cover the application of the concepts to audio signals. The exercises are made specifically for Pure Data (Pd) although traditional software, such as MATLAB, can be used. The book is intended for students in media technology bachelor programs. The book is based on material the author developed teaching on the topic over a number of years.

Digital Audio Signal Processing

Udo Zölzer
Digital Audio Signal Processing Book PDF

Author : Udo Zölzer
Publisher : John Wiley & Sons
Page : 420 pages
File Size : 47,6 Mb
Release : 2022-02-24
Category : Technology & Engineering
ISBN : 9781119832690

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Digital Audio Signal Processing by Udo Zölzer Pdf

Digital Audio Signal Processing The fully revised new edition of the popular textbook, featuring additional MATLAB exercises and new algorithms for processing digital audio signals Digital Audio Signal Processing (DASP) techniques are used in a variety of applications, ranging from audio streaming and computer-generated music to real-time signal processing and virtual sound processing. Digital Audio Signal Processing provides clear and accessible coverage of the fundamental principles and practical applications of digital audio processing and coding. Throughout the book, the authors explain a wide range of basic audio processing techniques and highlight new directions for automatic tuning of different algorithms and discuss state- of-the-art DASP approaches. Now in its third edition, this popular guide is fully updated with the latest signal processing algorithms for audio processing. Entirely new chapters cover nonlinear processing, Machine Learning (ML) for audio applications, distortion, soft/hard clipping, overdrive, equalizers and delay effects, sampling and reconstruction, and more. Covers the fundamentals of quantization, filters, dynamic range control, room simulation, sampling rate conversion, and audio coding Describes DASP techniques, their theoretical foundations, and their practical applications Discusses modern studio technology, digital transmission systems, storage media, and home entertainment audio components Features a new introductory chapter and extensively revised content throughout Provides updated application examples and computer-based activities supported with MATLAB exercises and interactive JavaScript applets via an author-hosted companion website Balancing essential concepts and technological topics, Digital Audio Signal Processing, Third Edition remains the ideal textbook for advanced music technology and engineering students in audio signal processing courses. It is also an invaluable reference for audio engineers, hardware and software developers, and researchers in both academia and industry.

Machine Learning for Multimedia Content Analysis

Yihong Gong,Wei Xu
Machine Learning for Multimedia Content Analysis Book PDF

Author : Yihong Gong,Wei Xu
Publisher : Springer Science & Business Media
Page : 282 pages
File Size : 42,8 Mb
Release : 2007-09-26
Category : Computers
ISBN : 9780387699424

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Machine Learning for Multimedia Content Analysis by Yihong Gong,Wei Xu Pdf

This volume introduces machine learning techniques that are particularly powerful and effective for modeling multimedia data and common tasks of multimedia content analysis. It systematically covers key machine learning techniques in an intuitive fashion and demonstrates their applications through case studies. Coverage includes examples of unsupervised learning, generative models and discriminative models. In addition, the book examines Maximum Margin Markov (M3) networks, which strive to combine the advantages of both the graphical models and Support Vector Machines (SVM).

MPEG-7 Audio and Beyond

Hyoung-Gook Kim,Nicolas Moreau,Thomas Sikora
MPEG 7 Audio and Beyond Book PDF

Author : Hyoung-Gook Kim,Nicolas Moreau,Thomas Sikora
Publisher : John Wiley & Sons
Page : 304 pages
File Size : 45,5 Mb
Release : 2006-02-03
Category : Computers
ISBN : 9780470093351

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MPEG-7 Audio and Beyond by Hyoung-Gook Kim,Nicolas Moreau,Thomas Sikora Pdf

Advances in technology, such as MP3 players, the Internet and DVDs, have led to the production, storage and distribution of a wealth of audio signals, including speech, music and more general sound signals and their combinations. MPEG-7 audio tools were created to enable the navigation of this data, by providing an established framework for effective multimedia management. MPEG-7 Audio and Beyond: Audio Content Indexing and Retrieval is a unique insight into the technology, covering the following topics: the fundamentals of MPEG-7 audio, principally low-level descriptors and sound classification and similarity; spoken content description, and timbre, melody and tempo music description tools; existing MPEG-7 applications and those currently being developed; examples of audio technology beyond the scope of MPEG-7. Essential reading for practising electronic and communications engineers designing and implementing MPEG-7 compliant systems, this book will also be a useful reference for researchers and graduate students working with multimedia database technology.

Audio Processes

David Creasey
Audio Processes Book PDF

Author : David Creasey
Publisher : CRC Press
Page : 717 pages
File Size : 54,6 Mb
Release : 2016-09-13
Category : Music
ISBN : 9781317329176

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Audio Processes by David Creasey Pdf

Designed for music technology students, enthusiasts, and professionals, Audio Processes: Musical Analysis, Modification, Synthesis, and Control describes the practical design of audio processes, with a step-by-step approach from basic concepts all the way to sophisticated effects and synthesizers. The themes of analysis, modification, synthesis, and control are covered in an accessible manner and without requiring extensive mathematical skills. The order of material aids the progressive accumulation of understanding, but topics are sufficiently contained that those with prior experience can read individual chapters directly. Extensively supported with block diagrams, algorithms, and audio plots, the ideas and designs are applicable to a wide variety of contexts. The presentation style enables readers to create their own implementations, whatever their preferred programming language or environment. The designs described are practical and extensible, providing a platform for the creation of professional quality results for many different audio applications. There is an accompanying website (www.routledge.com/cw/creasey), which provides further material and examples, to support the book and aid in process development. This book includes: A comprehensive range of audio processes, both popular and less well known, extensively supported with block diagrams and other easily understood visual forms. Detailed descriptions suitable for readers who are new to the subject, and ideas to inspire those with more experience. Designs for a wide range of audio contexts that are easily implemented in visual dataflow environments, as well as conventional programming languages.

Signal Processing Methods for Music Transcription

Anssi Klapuri,Manuel Davy
Signal Processing Methods for Music Transcription Book PDF

Author : Anssi Klapuri,Manuel Davy
Publisher : Springer Science & Business Media
Page : 443 pages
File Size : 40,6 Mb
Release : 2007-02-26
Category : Technology & Engineering
ISBN : 9780387328454

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Signal Processing Methods for Music Transcription by Anssi Klapuri,Manuel Davy Pdf

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.

Qualitative Content Analysis

Philipp Mayring
Qualitative Content Analysis Book PDF

Author : Philipp Mayring
Publisher : SAGE
Page : 160 pages
File Size : 41,9 Mb
Release : 2021-11-03
Category : Social Science
ISBN : 9781529765908

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Qualitative Content Analysis by Philipp Mayring Pdf

In eight clear-cut steps, this book provides a systematic introduction to qualitative content analysis and how you can use it in each stage of your research project, no matter the type or amount of data. Developed by a leading expert in the field and based on years of teaching experience, this book offers an essential framework for interpreting qualitative data for any social sciences student or researcher. To support you in choosing the best approach for your research, this book includes: · Examples of how QCA can be applied to various research processes · An introduction to text analysis and its different approaches · Discussions of how to use QCA software to benefit your research · An online how-to manual to help you get the most out of QCAmap software. It also introduces the process of scientific research, and integrates qualitative and quantitative analysis into the step-by-step approach.

Analyzing Qualitative Data with MAXQDA

Udo Kuckartz,Stefan Rädiker
Analyzing Qualitative Data with MAXQDA Book PDF

Author : Udo Kuckartz,Stefan Rädiker
Publisher : Springer
Page : 293 pages
File Size : 55,9 Mb
Release : 2019-05-31
Category : Social Science
ISBN : 9783030156718

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Analyzing Qualitative Data with MAXQDA by Udo Kuckartz,Stefan Rädiker Pdf

This book presents strategies for analyzing qualitative and mixed methods data with MAXQDA software, and provides guidance on implementing a variety of research methods and approaches, e.g. grounded theory, discourse analysis and qualitative content analysis, using the software. In addition, it explains specific topics, such as transcription, building a coding frame, visualization, analysis of videos, concept maps, group comparisons and the creation of literature reviews. The book is intended for masters and PhD students as well as researchers and practitioners dealing with qualitative data in various disciplines, including the educational and social sciences, psychology, public health, business or economics.

Speech, Audio, Image and Biomedical Signal Processing using Neural Networks

Bhanu Prasad,S.R.M. Prasanna
Speech Audio Image and Biomedical Signal Processing using Neural Networks Book PDF

Author : Bhanu Prasad,S.R.M. Prasanna
Publisher : Springer Science & Business Media
Page : 419 pages
File Size : 45,9 Mb
Release : 2008-01-03
Category : Computers
ISBN : 9783540753971

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Speech, Audio, Image and Biomedical Signal Processing using Neural Networks by Bhanu Prasad,S.R.M. Prasanna Pdf

Humans are remarkable in processing speech, audio, image and some biomedical signals. Artificial neural networks are proved to be successful in performing several cognitive, industrial and scientific tasks. This peer reviewed book presents some recent advances and surveys on the applications of artificial neural networks in the areas of speech, audio, image and biomedical signal processing. It chapters are prepared by some reputed researchers and practitioners around the globe.

Fundamentals of Music Processing

Meinard Müller
Fundamentals of Music Processing Book PDF

Author : Meinard Müller
Publisher : Springer
Page : 487 pages
File Size : 45,8 Mb
Release : 2015-07-21
Category : Computers
ISBN : 9783319219455

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Fundamentals of Music Processing by Meinard Müller Pdf

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.

The Handbook of Visual Analysis

Theo Van Leeuwen,Carey Jewitt
The Handbook of Visual Analysis Book PDF

Author : Theo Van Leeuwen,Carey Jewitt
Publisher : SAGE
Page : 226 pages
File Size : 43,6 Mb
Release : 2001-03-29
Category : Social Science
ISBN : 9780761964773

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The Handbook of Visual Analysis by Theo Van Leeuwen,Carey Jewitt Pdf

The Handbook of Visual Analysis is a rich methodological resource for students, academics, researchers and professionals interested in investigating the visual representation of socially significant issues. The Handbook: Offers a wide-range of methods for visual analysis: content analysis, historical analysis, structuralist analysis, iconography, psychoanalysis, social semiotic analysis, film analysis and ethnomethodology Shows how each method can be applied for the purposes of specific research projects Exemplifies each approach through detailed analyses of a variety of data, including, newspaper images, family photos, drawings, art works and cartoons Includes examples from the authors' own research and professional practice The Handbook of Visual Analysis, which demonstrates the importance of visual data within the social sciences offers an essential guide to those working in a range of disciplines including: media and communication studies, sociology, anthropology, education, psychoanalysis, and health studies.

Hands-on Signal Analysis with Python

Thomas Haslwanter
Hands on Signal Analysis with Python Book PDF

Author : Thomas Haslwanter
Publisher : Springer Nature
Page : 276 pages
File Size : 53,7 Mb
Release : 2021-05-31
Category : Technology & Engineering
ISBN : 9783030579036

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Hands-on Signal Analysis with Python by Thomas Haslwanter Pdf

This book provides the tools for analyzing data in Python: different types of filters are introduced and explained, such as FIR-, IIR- and morphological filters, as well as their application to one- and two-dimensional data. The required mathematics are kept to a minimum, and numerous examples and working Python programs are included for a quick start. The goal of the book is to enable also novice users to choose appropriate methods and to complete real-world tasks such as differentiation, integration, and smoothing of time series, or simple edge detection in images. An introductory section provides help and tips for getting Python installed and configured on your computer. More advanced chapters provide a practical introduction to the Fourier transform and its applications such as sound processing, as well as to the solution of equations of motion with the Laplace transform. A brief excursion into machine learning shows the powerful tools that are available with Python. This book also provides tips for an efficient programming work flow: from the use of a debugger for finding mistakes, code-versioning with git to avoid the loss of working programs, to the construction of graphical user interfaces (GUIs) for the visualization of data. Working, well-documented Python solutions are included for all exercises, and IPython/Jupyter notebooks provide additional help to get people started and outlooks for the interested reader.