Computational Methods in Acoustics University of Salford

Overview

You will learn key concepts within the principles of acoustics and develop systematic understandings which will support your learning on other taught modules and other parts of the course.

What you will learn

The first part of the Computational Methods in Acoustics module at the University of Salford will focus on established computer simulation techniques, such as finite element method and geometric room acoustics, learning the principles through examples in MATLAB and then applying commercial software packages (e.g. COMSOL Multiphysics) to realistic problems.

You will undertake practical problem-solving using these methods, assessing their suitability, accuracy and limitations.

The second part of the module will focus on machine learning and signal classification following an introduction of acoustics signal feature extraction in the time, frequency and time-frequency domains, using two machine learning frameworks; supervised and unsupervised learning, and conceptualise deep learning, the mainstream of contemporary AI.

You will develop a suite of codes using relevant toolboxes or algorithm block codes to blind- separate mixed audio signals and classify them, which will form the assessment for the second part of the module.