Audio Processing Workflows with Python

This chapter explores user workflows for audio and music processing using Python, primarily through the Librosa library in a Jupyter notebook environment. It covers essential functions like Fast Fourier Transforms and beat tracking while emphasizing the integration of visualization tools for effective analysis. Additionally, the chapter discusses the complexities of structural segmentation and the construction of graphs based on time series data, facilitating deep insights into audio analysis.