Data-Driven Methods in Signal Processing

The focus of this module are methods for

• machine learning techniques using audio signals as data
• mathematical/technical background and basic building blocks
• established practices for the development of solutions

The lectures cover the following topics:

• preparation of audio signals, quality checks and common features
• dimensionality reduction
• linear regression
• gradient descent algorithms
• model selection
• deep neural network architectures
• evaluation and reporting