R. Selfridge, J. D. Reiss, and E. J. Avital, “Physically Derived Synthesis Model of an Edge Tone,” in Proc. AES Convention 144, May 2018, Paper 9956. [Online]. Available: https://aes.org/publications/elibrary-page/?id=19473
Selfridge R, Reiss JD, Avital EJ. Physically Derived Synthesis Model of an Edge Tone. In: AES Convention 144. Audio Engineering Society; 2018. Paper 9956. Available from: https://aes.org/publications/elibrary-page/?id=19473
@inproceedings{Selfridge2018_19473,
author = {Selfridge, Rod and Reiss, Joshua D. and Avital, Eldad J.},
title = {{Physically Derived Synthesis Model of an Edge Tone}},
booktitle = {AES Convention 144},
note = {Paper 9956},
year = {2018},
month = may,
publisher = {Audio Engineering Society},
url = {https://aes.org/publications/elibrary-page/?id=19473}
}
TY - CPAPER
TI - Physically Derived Synthesis Model of an Edge Tone
AU - Selfridge, Rod
AU - Reiss, Joshua D.
AU - Avital, Eldad J.
T2 - AES Convention 144
M1 - Paper 9956
PY - 2018
DA - 2018/05/06
UR - https://aes.org/publications/elibrary-page/?id=19473
PB - Audio Engineering Society
LA - en
AB - The edge tone is the sound generated when a planar jet of air from a nozzle comes into contact with a wedge and a number of physical conditions are met. Fluid dynamics equations were used to synthesize authentic edge tones without the need for complex computation. A real-time physically derived synthesis model was designed using the jet airspeed and nozzle exit-to-wedge geometry. We compare different theoretical equations used to predict the tone frequency. A decision tree derived from machine learning based on previously published experimental results was used to predict the correct mode of operation. Results showed an accurate implementation for mode selection and highlighted areas where operation follows or deviates from previously published data.
ER -