Profiling loudspeaker nonlinearities using parametric multitone stimulus

Voishvillo A, Kakonyi B, McLaughlin B. Profiling loudspeaker nonlinearities using parametric multitone stimulus. In: AES Convention 149. Audio Engineering Society; 2020. Paper 615. Available from: https://aes.org/publications/elibrary-page/?id=20901

@inproceedings{Voishvillo2020_20901,
  author = {Voishvillo, Alexander and Kakonyi, Balazs and McLaughlin, Brian},
  title = {{Profiling loudspeaker nonlinearities using parametric multitone stimulus}},
  booktitle = {AES Convention 149},
  note = {Paper 615},
  year = {2020},
  month = oct,
  publisher = {Audio Engineering Society},
  url = {https://aes.org/publications/elibrary-page/?id=20901}
}

TY  - CPAPER
TI  - Profiling loudspeaker nonlinearities using parametric multitone stimulus
AU  - Voishvillo, Alexander
AU  - Kakonyi, Balazs
AU  - McLaughlin, Brian
T2  - AES Convention 149
M1  - Paper 615
PY  - 2020
DA  - 2020/10/06
UR  - https://aes.org/publications/elibrary-page/?id=20901
PB  - Audio Engineering Society
LA  - en
AB  - The previous work reported on the use of modulated musical multitone (MMM) for the detection of audible distortion in horn drivers. With an adjustable crest factor, MMM is designed to match the properties of music and is used to measure nonlinear distortion audibility thresholds. In this work, the signal is used to create a distortion profile of two-way systems for comparison. The MMM reaction is post-processed to obtain the Multitone Total Nonlinear Distortion response, which presents nonlinear distortion products averaged in a “sliding window” in the frequency domain. MTND responses are derived from a low level to a very high level. These MTND curves are compiled into a comprehensive spectral distortion profile which can be used to compare multiple systems.
ER  -