S. Wedekind and P. Fraundorf, “Log Complex Color for Visual Pattern Recognition of Total Sound,” in Proc. AES Convention 141, Sep. 2016, pp. 9647:1-9. [Online]. Available: https://aes.org/publications/elibrary-page/?id=18451
Wedekind S, Fraundorf P. Log Complex Color for Visual Pattern Recognition of Total Sound. In: AES Convention 141. Audio Engineering Society; 2016.pp. 9647:1-9. Available from: https://aes.org/publications/elibrary-page/?id=18451
@inproceedings{Wedekind2016_18451,
author = {Wedekind, Stephen and Fraundorf, P.},
title = {{Log Complex Color for Visual Pattern Recognition of Total Sound}},
booktitle = {AES Convention 141},
pages = {9647:1-9},
url = {https://aes.org/publications/elibrary-page/?id=18451},
year = {2016},
month = sep,
publisher = {Audio Engineering Society}
}
TY - CPAPER
TI - Log Complex Color for Visual Pattern Recognition of Total Sound
AU - Wedekind, Stephen
AU - Fraundorf, P.
T2 - AES Convention 141
SP - 1
EP - 9
M1 - Paper 9647
PY - 2016
DA - 2016/09/06
UR - https://aes.org/publications/elibrary-page/?id=18451
PB - Audio Engineering Society
LA - en
AB - While traditional audio visualization methods depict amplitude intensities vs. time, such as in a time-frequency spectrogram, and while some may use complex phase information to augment the amplitude representation, such as in a reassigned spectrogram, the phase data are not generally represented in their own right. By plotting amplitude intensity as brightness/saturation and phase-cycles as hue-variations, our complex spectrogram method displays both amplitude and phase information simultaneously, making such images canonical visual representations of the source wave. As a result, the original sound may be reconstructed (down to the original phases) from an image, simply by reversing our process. This allows humans to apply our highly-developed visual pattern recognition skills to complete audio data in new way.
ER -