An Introduction to Audio Content Analysis: Music Information Retrieval Tasks and Applications

ISBN-13: 9781119890942 / Angielski / Twarda / 2022 / 200 str.

Alexander Lerch

Spis treści

Author Biography xviiPreface xixAcronyms xxiList of Symbols xxvSource Code Repositories xxix1 Introduction 1Part I Fundamentals of Audio Content Analysis 92 Analysis of Audio Signals 113 Input Representation 174 Inference 915 Data 107Part II Music Transcription 1277 Tonal Analysis 1298 Intensity2179 Temporal Analysis 22910 Alignment 281Part III Music Identification, Classification, and Assessment 30311 Audio Fingerprinting 30512 Music Similarity Detection and Music Genre Classification 31713 Mood Recognition 33714 Musical Instrument Recognition 34715 Music Performance Assessment 355Part IV Appendices 365Appendix A Fundamentals 367Appendix B Fourier Transform 385Appendix C Principal Component Analysis 405Appendix D Linear Regression 409Appendix E Software for Audio Analysis 411Appendix F Datasets 417Index 425

O autorze

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.