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Description
Aims:
The module aims to introduce the perceptual principles underlying auditory computational modelling and applications. In particular, principles and theory of sound detection, selection and organization underlying computational auditory scene analysis, speech recognition and sound and music computing.
Intended learning outcomes:
On successful completion of this module, a student will be able to:
- Understand the basic principles of auditory processing, acoustics, the design of auditory filters and applications in computing.
- Explain the fundamentals of auditory processing, modelling, and its applications.
- Understand and appreciate the contribution of low-level auditory processing and the development of computational models of binaural hearing, pitch perception, and speech recognition models
- Understand some key principles of music computation involving representation, sonification, and algorithmic design.
Indicative content:
The following is indicative of the topics the module will typically cover:
An introduction to the perceptual principles underlying auditory computational modelling and applications. This module will complement other module content such as machine learning (auditory filters, non-linear models), machine vision (spectro-temporal processing, organization, representation), speech recognition (spectrograms, time-series analysis), neural computing (cognitive systems), and virtual environments (binaural and spatialized sound presentation). Not all topics will be covered to the same depth.
Requisites:
To be eligible to select this module as an optional or elective, a student must be registered on a programme and year of study for which it is formally available.
There may be an element of maths and/ or coding involved in the understanding of the concepts, practical work or assessments. Coding may use the following languages: Python, Java, MatLab, C#.
Module deliveries for 2024/25 academic year
Last updated
This module description was last updated on 8th April 2024.
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