R. E. Davis and D. F. Clark, “A Comparison of Available Options for Teaching Signal Processing to Music Technology and Production Students,” in Proc. AES Conference: UK 26th Conference: Audio Education, Aug. 2015, pp. 4:1-6. [Online]. Available: https://aes.org/publications/elibrary-page/?id=17851
Davis RE, Clark DF. A Comparison of Available Options for Teaching Signal Processing to Music Technology and Production Students. In: AES Conference: UK 26th Conference: Audio Education. Audio Engineering Society; 2015.pp. 4:1-6. Available from: https://aes.org/publications/elibrary-page/?id=17851
@inproceedings{Davis2015_17851,
author = {Davis, Robert E and Clark, D. Fraser},
title = {{A Comparison of Available Options for Teaching Signal Processing to Music Technology and Production Students}},
booktitle = {AES Conference: UK 26th Conference: Audio Education},
pages = {4:1-6},
year = {2015},
month = aug,
publisher = {Audio Engineering Society},
url = {https://aes.org/publications/elibrary-page/?id=17851}
}
TY - CPAPER
TI - A Comparison of Available Options for Teaching Signal Processing to Music Technology and Production Students
AU - Davis, Robert E
AU - Clark, D. Fraser
T2 - AES Conference: UK 26th Conference: Audio Education
SP - 1
EP - 6
M1 - Paper 4
PY - 2015
DA - 2015/08/06
UR - https://aes.org/publications/elibrary-page/?id=17851
PB - Audio Engineering Society
LA - en
AB - Learning signal processing techniques forms a vital part of any audio student’s education, as these skills have applications both in the artistic and technical fields. However, students in audio or music production programmes often have little or no knowledge of the intrinsic technical or mathematical theories behind many signal processing techniques. The various options available for teaching signal processing are compared in this paper, highlighting the strengths and weaknesses of each approach. Drawing on teaching experience on the Music Technology degree course at the University of the West of Scotland, the paper concludes that a combination of graphical and code-based approaches best facilitates the progression of students’ signal processing knowledge.
ER -