An introduction to audio content analysis : music information retrieval tasks & applications / Alexander Lerch.

By: Lerch, Alexander [author.]
Language: English Publisher: Hoboken, New Jersey : John Wiley & Sons, Inc., ©[2023]Edition: Second editionDescription: 1 online resource (xxix, 434 pages) : illustrationsContent type: text Media type: computer Carrier type: online resourceISBN: 9781119890942; 9781119890973; 1119890977; 9781119890966; 1119890969; 9781119890980; 1119890985Other title: Music information retrieval tasks and applicationsSubject(s): Computer sound processing | Computational auditory scene analysis | Content analysis (Communication) -- Data processingGenre/Form: Electronic books.DDC classification: 006.4/5 LOC classification: TK7881.4 | .L486 2023Online resources: Full text is available at Wiley Online Library Click here to view
Contents:
Table of Contents Author Biography xvii Preface xix Acronyms xxi List of Symbols xxv Source Code Repositories xxix 1 Introduction 1 Part I Fundamentals of Audio Content Analysis 9 2 Analysis of Audio Signals 11 3 Input Representation 17 4 Inference 91 5 Data 107 Part II Music Transcription 127 7 Tonal Analysis 129 8 Intensity217 9 Temporal Analysis 229 10 Alignment 281 Part III Music Identification, Classification, and Assessment 303 11 Audio Fingerprinting 305 12 Music Similarity Detection and Music Genre Classification 317 13 Mood Recognition 337 14 Musical Instrument Recognition 347 15 Music Performance Assessment 355 Part IV Appendices 365 Appendix A Fundamentals 367 Appendix B Fourier Transform 385 Appendix C Principal Component Analysis 405 Appendix D Linear Regression 409 Appendix E Software for Audio Analysis 411 Appendix F Datasets 417 Index 425
Summary: "This book explores algorithms that extract the relevant content information from a digital audio signal and interpret the extracted information for applications such as music recommendation, music tutoring, or music generation. This second edition covers an even broader range of tasks aimed at extracting all forms of musical content from the audio. After a general introduction in the process and goals of audio content analysis, the text focuses on tasks that can be grouped into a content category: tonal analysis, intensity analysis, and temporal analysis. The following chapters often span multiple of these categories and cover the alignment of two audio sequences, the classification of musical genre, mood, and instruments, the computation of music similarity, and the assessment of music performance"-- Provided by publisher.
Tags from this library: No tags from this library for this title. Log in to add tags.
    Average rating: 0.0 (0 votes)
Item type Current location Home library Call number Status Date due Barcode Item holds
EBOOK EBOOK COLLEGE LIBRARY
COLLEGE LIBRARY
006.4/5 (Browse shelf) Available
Total holds: 0

Includes bibliographical references and index.

Table of Contents
Author Biography xvii

Preface xix

Acronyms xxi

List of Symbols xxv

Source Code Repositories xxix

1 Introduction 1

Part I Fundamentals of Audio Content Analysis 9

2 Analysis of Audio Signals 11

3 Input Representation 17

4 Inference 91

5 Data 107

Part II Music Transcription 127

7 Tonal Analysis 129

8 Intensity217

9 Temporal Analysis 229

10 Alignment 281

Part III Music Identification, Classification, and Assessment 303

11 Audio Fingerprinting 305

12 Music Similarity Detection and Music Genre Classification 317

13 Mood Recognition 337

14 Musical Instrument Recognition 347

15 Music Performance Assessment 355

Part IV Appendices 365

Appendix A Fundamentals 367

Appendix B Fourier Transform 385

Appendix C Principal Component Analysis 405

Appendix D Linear Regression 409

Appendix E Software for Audio Analysis 411

Appendix F Datasets 417

Index 425

"This book explores algorithms that extract the relevant content information from a digital audio signal and interpret the extracted information for applications such as music recommendation, music tutoring, or music generation. This second edition covers an even broader range of tasks aimed at extracting all forms of musical content from the audio. After a general introduction in the process and goals of audio content analysis, the text focuses on tasks that can be grouped into a content category: tonal analysis, intensity analysis, and temporal analysis. The following chapters often span multiple of these categories and cover the alignment of two audio sequences, the classification of musical genre, mood, and instruments, the computation of music similarity, and the assessment of music performance"-- Provided by publisher.

About the Author
Alexander Lerch, PhD, is an Associate Professor at the Center for Music Technology, Georgia Institute of Technology. His research focuses on signal processing and machine learning applied to music, an interdisciplinary field commonly referred to as music information retrieval. He has authored more than 50 peer-reviewed publications and his website, www.AudioContentAnalysis.org, is a popular resource on Audio Content Analysis, providing video lectures, code examples, and other materials.

There are no comments for this item.

to post a comment.