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

Includes bibliographical references and index.

Introduction -- Part I. Fundamentals of audio content analysis -- Analysis of audio signals -- Input representation -- Inference -- Data -- Evaluation -- Part II. Music transcription -- Tonal analysis -- Intensity -- Temporal analysis -- Alignment -- Part III. Music identification, classification, and assessment -- Audio fingerprinting -- Music similarity detection and music genre classification -- Mood recognition -- Musical instrument recognition -- Music performance assessment -- Part IV. Appendices -- Appendix A. Fundamentals -- Appendix B. Fourier transform -- Appendix C. Principal component analysis -- Appendix D. Linear regression -- Appendix E. Software for audio analysis -- Appendix F. Datasets.

"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.