AUDIO SIGNAL ANALYSIS - 2022/3

Module code: TON1023

Module Overview

This module will introduce you to the analysis of audio signals using a combination of theory and application, and to give you the background needed for a wide range of the technical modules in each year of the Tonmeister programme.

Module provider

Music and Media

Module Leader

DE SENA Enzo (Music & Med)

Number of Credits: 15

ECTS Credits: 7.5

Framework: FHEQ Level 4

Module cap (Maximum number of students): N/A

Overall student workload

Workshop Hours: 10

Independent Learning Hours: 112

Lecture Hours: 18

Seminar Hours: 3

Guided Learning: 5

Captured Content: 2

Module Availability

Year long

Prerequisites / Co-requisites

Tonmeister or FVPT Computer Systems

Module content

Indicative content includes:


  • signals;

  • complex numbers and phasors;

  • the Fourier series;

  • the Fourier transform;

  • sampling;

  • frequency analysis of discrete-time signals.


Assessment pattern

Assessment type Unit of assessment Weighting
School-timetabled exam/test Computer-based in-class test (3 hours) 35
School-timetabled exam/test In-class test (3 hours) 35
Coursework Coursework 30

Alternative Assessment

N/A

Assessment Strategy

The assessment strategy is designed to provide you with the opportunity to demonstrate and develop your knowledge and understanding of audio signal processing.

Thus, the summative assessment for this module consists of:


  • one computer-based in-class test (addresses learning outcomes 1-2);

  • one in-class test (addesses learning outcomes 1-3); and

  • Coursework – consisting of mathematical problems and programming tasks (addresses learning outcomes 4-8).



Formative assessment

There are no formal formative assessment components for this module, but formative feedback will be given to you in tutorials as required, and in the form of regular revision questions in lectures.

Feedback

You will receive written feedback on your coursework. You will also receive verbal feedback in lectures via revision questions and in-class discussions.

Module aims

  • To build on previous mathematical knowledge and understanding to provide the relevant mathematical and signal processing background for topics in Acoustics, Electroacoustics, Computer Systems, Audio Signal Processing & Synthesis, and Audio Engineering.

Learning outcomes

Attributes Developed
001 Recognise different types of signals and perform simple operations on signals KC
002 Perform simple arithmetic operations on complex numbers; plot complex numbers on an Argand diagram; recognise the Cartesian, polar and exponential forms and convert complex numbers between the different forms; represent simple harmonic signals as complex phasors KC
003 Use the discrete Fourier series and the Fourier transform to represent a signal in both the time domain and the frequency domain KC
004 Use the Fourier transform to analyse a discrete-time signal in the frequency domain KC
005 Use computer code instructions to perform a specific task KCP
006 Use computer code to analyse a discrete-time signal in the frequency domain KCP
007 Apply programming skills successfully PT
008 Apply problem-solving skills successfully T

Attributes Developed

C - Cognitive/analytical

K - Subject knowledge

T - Transferable skills

P - Professional/Practical skills

Methods of Teaching / Learning

The learning and teaching strategy is designed to: develop your skills and knowledge in mathematics and audio signal analysis, allowing modules in later semesters to build on this.

The learning and teaching methods include:


  • Nine two-hour lectures

  • One three-hour seminar

  • Five two-hour workshops

  • Captured content and guided learning

  • Coursework assignments and feedback


Indicated Lecture Hours (which may also include seminars, tutorials, workshops and other contact time) are approximate and may include in-class tests where one or more of these are an assessment on the module. In-class tests are scheduled/organised separately to taught content and will be published on to student personal timetables, where they apply to taken modules, as soon as they are finalised by central administration. This will usually be after the initial publication of the teaching timetable for the relevant semester.

Reading list

https://readinglists.surrey.ac.uk
Upon accessing the reading list, please search for the module using the module code: TON1023

Programmes this module appears in

Programme Semester Classification Qualifying conditions
Music and Sound Recording (Tonmeister) BSc (Hons)(CORE) Year-long Core Each unit of assessment must be passed at 40% to pass the module
Music and Sound Recording (Tonmeister) BMus (Hons)(CORE) Year-long Core Each unit of assessment must be passed at 40% to pass the module

Please note that the information detailed within this record is accurate at the time of publishing and may be subject to change. This record contains information for the most up to date version of the programme / module for the 2022/3 academic year.