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Signals & Systems for Speech & Hearing (PALS0053)

Key information

Faculty
Faculty of Brain Sciences
Teaching department
Division of Psychology and Language Sciences
Credit value
15
Restrictions
N/A
Timetable

Alternative credit options

There are no alternative credit options available for this module.

Description

The concepts of linear signals and systems analysis, developed primarily by electrical engineers, are of great importance to understanding many aspects of auditory physiology, speech production, speech perception, speech acoustics, and the processing of physiological neuroscience measures such as EEG, fMRI, fNIRS and others. However, it is very difficult for the many people working in the speech and hearing sciences who come from a background in the arts or humanities (or even psychology) to master these essential technical underpinnings. The aim of this module is to provide a thorough introduction to the concepts of signals and systems analysis that play a role in the speech and hearing sciences for a student without extensive prior mathematical training. Emphasis is on the conceptual underpinnings of the area, through a primarily graphical approach, rather than one based primarily on mathematical formulae.

The course will be presented as a series of 10 lectures and laboratory sessions. The lectures will introduce core topics, supported by readings in an associated textbook. The laboratory sessions will provide 鈥渉ands-on鈥 experience working with digital signals and systems.

Indicative Topics

  • Signals: periodicity/aperiodicity; simple vs. complex
  • Systems: Linearity; time-invariance
  • Frequency response of systems
  • Frequency representation of signals (spectra)
  • Signals through systems in the frequency domain
  • Impulse responses and convolution
  • Time/bandwidth trading
  • Practical methods of spectral analysis 鈥 the spectrogram
  • Digital signals and systems

Module deliveries for 2024/25 academic year

Intended teaching term: Term 1 听听听 Postgraduate (FHEQ Level 7)

Teaching and assessment

Mode of study
In person
Methods of assessment
30% Coursework
70% Exam
Mark scheme
Numeric Marks

Other information

Number of students on module in previous year
0
Module leader
Professor Stuart Rosen
Who to contact for more information
pals.modules@ucl.ac.uk

Last updated

This module description was last updated on 8th April 2024.