COURSE UNIT TITLE

: DIGITAL AUDIO PROCESSING

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
CSE 5076 DIGITAL AUDIO PROCESSING ELECTIVE 3 0 0 7

Offered By

Graduate School of Natural and Applied Sciences

Level of Course Unit

Second Cycle Programmes (Master's Degree)

Course Coordinator

PROFESSOR DOCTOR DERYA BIRANT

Offered to

Computer Engineering (Non-Thesis-Evening) (English)
Computer Engineering Non-Thesis (English)
Computer Engineering (English)
Computer Engineering (English)
COMPUTER ENGINEERING (ENGLISH)

Course Objective

This course aims firstly- to inroduce CE students to Acoustics and Audio analyzing. Students will be driven into a thorough overview of linear system theory and introducing the necessary mathematical concepts will be in the beginning. Meanwhile in this Course primary MATLAB digital processing tools will be thought and how to employ them in the commonest audio processing subjects will be explained. Course will check students making use of this knowledge in their specific term projects.

Learning Outcomes of the Course Unit

1   to be able tp Understand of basics of Acoustics and audio processing.
2   to be able to Understand of linear system theory as a tool to analyze acoustic objects hence modeling them for computer usage.
3   to be able to use MATLAB digital processing tools
4   to be able to make computer based acoustics analyses and reporting them
5   to be able to take part in interdisciplinary projects with audio/music science teams

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description
1 Introduction: Acoustics and audio concepts.
2 Analyzing acoustic waves
3 Using MatLab to present audio to computer enviroment
4 Analyzing and modelling acoustic instruments-I Most used types
5 Analyzing and modelling acoustic instruments-II
6 ADSR envelops and Simulating acoustic instruments
7 Fourier transform analysis.
8 Digiatal Audio Processing (DAP): Mixing and Noise
9 Digiatal Audio Processing (DAP): Filtering
10 Digiatal Audio Processing (DAP): Filtering
11 Finding musical notes in audio.
12 Finding syllabels in speech audio.
13 Submittal of Assignement(s). Discussing Project Topics.
14 Speech recognition subjects. Audio simulation for a structure (room example).

Recomended or Required Reading

Main: Introduction to Sound processing, Davide Rocchesso. Universitâ di Verona
Supplementary: Presantations lectured in class
References: Web based resources for related topics (will be specified during the semestre).

Planned Learning Activities and Teaching Methods

Research, Project, Presentation, Report

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA
1 ASG ASSIGNMENT
2 PRS PRESENTATION
3 FCG FINAL COURSE GRADE ASG * 0.50 + PRS * 0.50


*** Resit Exam is Not Administered in Institutions Where Resit is not Applicable.

Further Notes About Assessment Methods

Term project is due at the time of Finals.
Evaluation of Home-works+Personal term project+Midterm Exam averaged.

Assessment Criteria

Research, Project, Presentation, Report

Language of Instruction

English

Course Policies and Rules

Participation is mandatory.

Contact Details for the Lecturer(s)

Prof.Dr. Derya BIRANT
Dokuz Eylul University
Department of Computer Engineering
Tinaztepe Campus, 35390 Izmir, Türkiye
Tel: 232-3017401
E-mail: derya@cs.deu.edu.tr

Office Hours

Monday 10:00-12:00

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours)
Lectures 14 3 42
Preparations before/after weekly lectures 14 2 28
Project Preparation 1 45 45
Reading 10 3 30
Preparing report 1 25 25
Web Search and Library Research 1 5 5
Preparing presentations 1 10 10
TOTAL WORKLOAD (hours) 185

Contribution of Learning Outcomes to Programme Outcomes

PO/LOPO.1PO.2PO.3PO.4PO.5PO.6PO.7PO.8PO.9PO.10PO.11
LO.13332232332
LO.23525232432
LO.33433333432
LO.43445454545
LO.54453455445