Course detail

Digital Audio Signal Processing

FEKT-ZPOeAcad. year: 2013/2014

Parameters and information content of acoustic signals. Human sound reception. Digitizing of acoustic signals. Digital recording formats and media. Psychoacoustic compression algorithms. Sound and PC, sound cards. Methods of musical signal synthesis. Musical effects and their realization with digital signal processing methods. Parameters of speech signals, speech signal analysis and synthesis. Noise reduction methods for acoustic signals.

Language of instruction

English

Number of ECTS credits

6

Mode of study

Not applicable.

Guarantor

Ing. Miroslav Balík, Ph.D.

Department

Department of Telecommunications (UTKO)

Learning outcomes of the course unit

Students get a detailed overview about digital signal processing of musical and speech signals. They wil be able to design algorithms for acoustic signal processing, which are directly designed for CPU of computer system or for signal processor. They get accustomed to working in the mixing or mastering digital musical studio.

Prerequisites

The subject knowledge on the Bachelor´s degree level is requested.

Co-requisites

Not applicable.

Planned learning activities and teaching methods

Teaching methods depend on the type of course unit as specified in the BUT Rules for Studies and Examinations.

Assesment methods and criteria linked to learning outcomes

Requirements for completion of a course are specified by a regulation issued by the lecturer responsible for the course and updated for every academic year.

Course curriculum

Not applicable.

Work placements

Not applicable.

Aims

To provide students with information about essential methods and procedures in the area of digital audio signal processing. Considerable attention is devoted to the present trends in the area of both musical and speech signals.

Specification of controlled education, way of implementation and compensation for absences

The content and forms of instruction in the evaluated course are specified by a regulation issued by the lecturer responsible for the course and updated for every academic year.

Recommended optional programme components

Not applicable.

Prerequisites and corequisites

Not applicable.

Basic literature

E. Ifeachor, B. Lervis:Digital Signal Processing,Addison Wesley
U. Zolzer: Digital Audio Signal Processing, Technical University of Hamburg-Harburg, Germany

Recommended reading

Not applicable.

Classification of course in study plans

  • Programme EECC-MN Master's

    branch MN-EST , 1 year of study, winter semester, elective interdisciplinary
    branch MN-TIT , 2 year of study, winter semester, elective specialised

Type of course unit

 

Lecture

26 hod., optionally

Teacher / Lecturer

Ing. Miroslav Balík, Ph.D.

Syllabus

Sound features and parameters, principles of sound reception.
Acoustic signal visualization.
Essential methods and algorithms of digital audio signal processing.
Musical effects - modulation effects, effects changing the signal dynamics.
Musical effects - parametric and dynamic equalization, reverberation algorithms.
Musical signal synthesis.
Recording, broadcasting and portable digital sound formats and media, sound and PC.
Psychoacoustic compression algorithms.
Speech generation and its parameters.
Speech compression and transmission.
Speech synthesis.
Change in speech parameters.
Noise reduction methods for acoustic signals.

Laboratory exercise

39 hod., compulsory

Teacher / Lecturer

Ing. Miroslav Balík, Ph.D.

Syllabus

Matlab, Simulink and DSP-Blockset
Sound editor SF Sound Forge
Multichannel sound editor Steinberg NUENDO
The alghorithm rules for sound signals editing 1
The alghorithm rules for sound signals editing 2
The alghorithm rules for sound signals editing 3
The individual project elaboration (6 exercises)