{"product_id":"an-introduction-to-audio-content-analysis-isbn-9781119890942","title":"An Introduction to Audio Content Analysis","description":"An Introduction to \u003cb\u003eAudio Content Analysis\u003c\/b\u003e \u003cp\u003e\u003cb\u003eEnables readers to understand the algorithmic analysis of musical audio signals with AI-driven approaches\u003c\/b\u003e \u003c\/p\u003e\u003cp\u003e\u003ci\u003eAn Introduction to Audio Content Analysis\u003c\/i\u003e 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. \u003c\/p\u003e\u003cp\u003eTo 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. \u003c\/p\u003e\u003cp\u003eWritten by a well-known expert in the music industry, sample topics covered in \u003ci\u003eIntroduction to Audio Content Analysis\u003c\/i\u003e include: \u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eDigital audio signals and their representation, common time-frequency transforms, audio features\u003c\/li\u003e \u003cli\u003ePitch and fundamental frequency detection, key and chord\u003c\/li\u003e \u003cli\u003eRepresentation of dynamics in music and intensity-related features\u003c\/li\u003e \u003cli\u003eBeat histograms, onset and tempo detection, beat histograms, and detection of structure in music, and sequence alignment\u003c\/li\u003e \u003cli\u003eAudio fingerprinting, musical genre, mood, and instrument classification\u003c\/li\u003e\n\u003c\/ul\u003e \u003cp\u003eAn invaluable guide for newcomers to audio signal processing and industry experts alike, \u003ci\u003eAn Introduction to Audio Content Analysis\u003c\/i\u003e 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. \u003c\/p\u003e\u003cp\u003eAuthor Biography xvii\u003c\/p\u003e \u003cp\u003ePreface xix\u003c\/p\u003e \u003cp\u003eAcronyms xxi\u003c\/p\u003e \u003cp\u003eList of Symbols xxv\u003c\/p\u003e \u003cp\u003eSource Code Repositories xxix\u003c\/p\u003e \u003cp\u003e1 Introduction 1\u003c\/p\u003e \u003cp\u003ePart I Fundamentals of Audio Content Analysis 9\u003c\/p\u003e \u003cp\u003e2 Analysis of Audio Signals 11\u003c\/p\u003e \u003cp\u003e3 Input Representation 17\u003c\/p\u003e \u003cp\u003e4 Inference 91\u003c\/p\u003e \u003cp\u003e5 Data 107\u003c\/p\u003e \u003cp\u003ePart II Music Transcription 127\u003c\/p\u003e \u003cp\u003e7 Tonal Analysis 129\u003c\/p\u003e \u003cp\u003e8 Intensity217\u003c\/p\u003e \u003cp\u003e9 Temporal Analysis 229\u003c\/p\u003e \u003cp\u003e10 Alignment 281\u003c\/p\u003e \u003cp\u003ePart III Music Identification, Classification, and Assessment 303\u003c\/p\u003e \u003cp\u003e11 Audio Fingerprinting 305\u003c\/p\u003e \u003cp\u003e12 Music Similarity Detection and Music Genre Classification 317\u003c\/p\u003e \u003cp\u003e13 Mood Recognition 337\u003c\/p\u003e \u003cp\u003e14 Musical Instrument Recognition 347\u003c\/p\u003e \u003cp\u003e15 Music Performance Assessment 355\u003c\/p\u003e \u003cp\u003ePart IV Appendices 365\u003c\/p\u003e \u003cp\u003eAppendix A Fundamentals 367\u003c\/p\u003e \u003cp\u003eAppendix B Fourier Transform 385\u003c\/p\u003e \u003cp\u003eAppendix C Principal Component Analysis 405\u003c\/p\u003e \u003cp\u003eAppendix D Linear Regression 409\u003c\/p\u003e \u003cp\u003eAppendix E Software for Audio Analysis 411\u003c\/p\u003e \u003cp\u003eAppendix F Datasets 417\u003c\/p\u003e \u003cp\u003eIndex 425\u003c\/p\u003e  \u003cp\u003e\u003cb\u003eAlexander Lerch, PhD,\u003c\/b\u003e 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.   \u003c\/p\u003e\u003cp\u003e\u003cb\u003eEnables readers to understand the algorithmic analysis of musical audio signals with AI-driven approaches\u003c\/b\u003e \u003c\/p\u003e\u003cp\u003e\u003ci\u003eAn Introduction to Audio Content Analysis\u003c\/i\u003e 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. \u003c\/p\u003e\u003cp\u003eTo 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. \u003c\/p\u003e\u003cp\u003eWritten by a well-known expert in the music industry, sample topics covered in \u003ci\u003eIntroduction to Audio Content Analysis\u003c\/i\u003e include: \u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eDigital audio signals and their representation, common time-frequency transforms, audio features\u003c\/li\u003e \u003cli\u003ePitch and fundamental frequency detection, key and chord\u003c\/li\u003e \u003cli\u003eRepresentation of dynamics in music and intensity-related features\u003c\/li\u003e \u003cli\u003eBeat histograms, onset and tempo detection, beat histograms, and detection of structure in music, and sequence alignment\u003c\/li\u003e \u003cli\u003eAudio fingerprinting, musical genre, mood, and instrument classification\u003c\/li\u003e\n\u003c\/ul\u003e \u003cp\u003eAn invaluable guide for newcomers to audio signal processing and industry experts alike, \u003ci\u003eAn Introduction to Audio Content Analysis\u003c\/i\u003e 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.\u003c\/p\u003e","brand":"Wiley-IEEE Press","offers":[{"title":"Default Title","offer_id":47988723908837,"sku":"NP9781119890942","price":135.0,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1842\/7735\/files\/9781119890942.jpg?v=1761781340","url":"https:\/\/k12savings.com\/products\/an-introduction-to-audio-content-analysis-isbn-9781119890942","provider":"K12savings","version":"1.0","type":"link"}