AUDIO SIGNAL ANALYSIS - 2020/1
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
JACs code: G120
Module cap (Maximum number of students): N/A
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 |
|---|---|---|
| Coursework | Coursework | 30 |
| School-timetabled exam/test | Computer-based in-class test (3 hours) | 35 |
| School-timetabled exam/test | In-class test (3 hours) | 35 |
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
Overall student workload
Independent Study Hours: 117
Lecture Hours: 30
Laboratory Hours: 3
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:
- One two-hour lecture per week for 12 weeks
- One three-hour laboratory session
- Guided reading
- 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
Reading list for AUDIO SIGNAL ANALYSIS : http://aspire.surrey.ac.uk/modules/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 |
| Film and Video Production Technology BSc (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 2020/1 academic year.