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companion website for the book "An Introduction to Audio Content Analysis" |
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The 2nd edition is coming! Please note that this website is still under construction and certainly not as beautiful as it could/should be. Please let me know if you run into any problems.
An Introduction to Audio Content Analysis introduces standard base-line approaches to a variety of audio analysis and music information retrieval tasks and provides the reader with a multitude of pointers and references if interested. The book itself is accompanied by a range of free resources for learning, teaching, and developing audio analysis systems.
The second edition of the book is restructured, modernized, and expanded.
Targeting engineers, graduate students, and programmers with basic knowledge of signal processing, the book describes various analysis algorithms with their theoretical, technical, musical and perceptual background. "An Introduction to Audio Content Analysis) covers topics including low level feature extraction, fundamental frequency detection, key and chord recognition, onset and tempo detection, as well as tasks such as alignment and genre classification.
In support not only of the text book itself but also of the wider (research) community, all accompanying resources are free, public, and open source.
- Python implementations of core algorithms from the book
- C++ implementations of core algorithms from the book
- Matlab implementations of core algorithms from the book
- [Matlab sources to generate all plots in the book}(https://github.com/alexanderlerch/ACA-Plots)
- [PDF slides}(https://github.com/alexanderlerch/ACA-Slides) modularized to match to the textbook structure
- [LaTeX sources for slides}(https://github.com/alexanderlerch/ACA-Slides)
- lecture videos (for the 1st edition)
- list of datasets for music and audio tasks
- list of relevant conference deadlines
Having trouble with this web page? Please submit an issue and we’ll help you sort it out.