TY - BOOK AU - Lerch,Alexander TI - An introduction to audio content analysis: music information retrieval tasks & applications SN - 9781119890942 AV - TK7881.4 .L486 2023 U1 - 006.4/5 23/eng/20221018 PY - 2023///] CY - Hoboken, New Jersey PB - John Wiley & Sons, Inc. KW - Computer sound processing KW - Computational auditory scene analysis KW - Content analysis (Communication) KW - Data processing KW - Electronic books N1 - 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 N2 - "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"-- UR - https://onlinelibrary.wiley.com/doi/book/10.1002/9781119890980 ER -