There are no pre-requisites for this module to be added

You will learn how to use the latest artificial intelligence technologies for audio and sound design. This module will introduce students to the concepts and the skills and knowledge to understand and use these new tools effectively in their ongoing practice. Students will learn how these technologies are developed using python, as well as how to choose and use deep learning models for audio and sound design related tasks. They will integrate these technologies into creative workflows and learning how to adjust and train for bespoke tasks and evaluate their effectiveness.

Upon completion of this module you will be able to

LO1: Demonstrate critical understanding of the core principles and algorithms underpinning current deep learning models for generative and analytical AI audio tasks.

LO2: Demonstrate competencies in using Python, Git and deep learning Python libraries.

LO3: Compare datasets and their role in creating and training deep learning models for generative and analytical AI audio tasks, including how datasets are split into training, testing and validation sets.

LO4: Critically explore the ethical issues in developing new AI algorithms for generative and analytical AI audio tasks, including the legality and ethics of datasets as well as energy consuption

LO5: Evaluate and compare the technical performance of current deep learning models for generative and analytical AI audio tasks on their trained task.