Lerninhalte |
Data-Driven Audio 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
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