🔵 🔴 🟡 Course description

The course introduces the student to the principles of digital sound technology and introduces techniques for processing the audio signal in time and frequency. Students learn to use software to record and apply sound effects, search for digitized samples in libraries and bases, and create new digital sounds with oscillators, synthesizers, and virtual instruments.

Upon successful completion of the courses, students will be able to:

• know the processes of digitization of sound and its properties

• understand the workings of basic sound processing algorithms

• search for sound samples and create their own sounds

• follow conventional and alternative paths for their musical compositions

• choose appropriate software and efficient methods to edit their music

• apply filters and sound effects to their artistic creations

• use programming knowledge in the development and execution of their projects

• use AI tools when they need them

🔵 🔴 🟡 Theory (1 hour)

1. From analogue to digital audio
2. Audio signal processing in time
3. Spectral Analysis and Processing
4. Audio Editing Software
5. Search and create digital sounds
6. The types and elements of tonal music: scales, chords, harmony
7. The stages of production
8. Musical successors
9. Alternative categories of musical composition
10. Programming and music
11. The performance of digital music
12. Live-coding
13. Music and artificial intelligence

🔵 🔴 🟡 Workshop (2 hours)

1. Sampling, quantization, coding, storage, reproduction
2. Amplification, resonance, normalization, compression
3. Leveling, denoiseing, distortion
4. Recording and sound effects with the Audacity program
5. Sample and loop libraries and bases
6. Oscillators and synthesizers, virtual instruments, the MIDI and OSC protocols
7. Orchestration, pre-treatment, mixing, post-processing
8. Composing a piece of music with the Musescore app
9. Music based on mathematical models and reflective processes
10. Parametric Music Composition (SuperCollider, HTML5 Web Audio API)
11. Sound visualization, motion-based music
12. Composition in the Sonic Pi App Environment
13. Computer accompaniment, interactive music composition

Review language: Greek

🔵 🔴 🟡 Evaluation method:

• 50% Final Exam
• 50% Individual Work

Note: The final score results from the average of the grade of the written or oral examination (at the end of the semester) and the grade of the individual assignment (delivered before the end of the semester). A score of 5.0 is required for both the final exam and the assignment.

• Face-to-face
• Use of ICT in teaching
• Use of ICT when communicating with students.

• Learning process through an electronic platform.

https://eclass.uop.gr/courses/2628/

🔵 🔴 🟡 Course Textbooks [Eudoxus]

• Book [86199418]: Applied Digital Audio Technology, Kefalos Vangelis
• Book [13630]: LANGUAGES AND INTERFACES IN MUSIC INFORMATICS, DIONYSIOS POLITIS

Extra Bibliography

• Christensen, Mads G. Introduction to Audio Processing. Springer, 2019.
• Reveillac, Jean-Michel. Electronic Music Machines: The New Musical Instruments. John Wiley & Sons, 2019.
• Réveillac, Jean-Michel. Musical Sound Effects: Analog and Digital Sound Processing. John Wiley & Sons, 2017.
• Solomos Makis, Iannis Xenakis, Alexandria Publications S.A., 2008
• Müller, Meinard. Fundamentals of music processing: Audio, analysis, algorithms, applications. Springer, 2015.
• Camastra, F, and A. Vinciarelli. Machine learning for audio, image and video analysis: theory and applications. Springer, 2015.
• Tashev, Ivan Jelev. Sound capture and processing: practical approaches. John Wiley & Sons, 2009.
• Zölzer, Udo. Digital audio signal processing. John Wiley & Sons, 2008.
• Beauchamp, James W. Analysis, synthesis, and perception of musical sounds. New York: Springer, 2007.
• Anagnostopoulou, Christina, Miguel Ferrand, and Alan Smaill, eds. Music and Artificial Intelligence: Second International Conference, ICMAI 2002, Edinburgh, Scotland, UK, September 12-14, 2002, Proceedings. Vol. 2445. Springer Science & Business Media, 2002.
• Kahrs, Mark, and Karlheinz Brandenburg, eds. Applications of digital signal processing to audio and acoustics. Springer 1998.