Description
Book SynopsisAn 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 featuresPitch and fundamental frequency detection, key and chordRepresentation of dynamics in music and intensity-related featuresBeat histograms, onset and tempo detection, beat histograms, and detection of structure in music, and sequence alignmentAudio 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.
Table of ContentsAuthor 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
