An Introduction to Audio Content Analysis describes standard approaches to various Music Information Retrieval (MIR) tasks, ranging from low level feature extraction over detection of pitches and tempo to the classification of music genre.
Targeted at engineers, graduate students, and programmers with basic knowledge of signal processing, the book describes various analysis algorithms with their theoretical, technical, and perceptual background.
The accompanying Matlab code allows for hands-on experience and a starting point for the implementation of new systems. The publicly accessible online lectures introduce the concepts on video with close connection to the text book chapters. Slides and audio files are accessible for all videos, and quizzes and exercises for each module test your understanding of the content.
about the author
Alexander Lerch works on the design and implementation of algorithms for audio content analysis and music information retrieval. In the past, he worked on audio signal processing algorithms such as time scaling, audio effects, key analysis, etc. In the year 2000, he co-founded the company zplane.development. This research-driven company with a close relationship to the Technical University of Berlin (Audio Communications Group) is today the leading licensor of advanced music software technology.
He joined the faculty of the Georgia Tech Center for Music Technology, where he leads the Music Informatics Group, in the year 2013 as Assistant Professor.