Ensemble Effect Using Gaussian Matrices

McCullough C. Ensemble Effect Using Gaussian Matrices. In: AES Convention 140. Audio Engineering Society; 2016. Paper 9558. Available from: https://aes.org/publications/elibrary-page/?id=18256

@inproceedings{McCullough2016_18256,
  author = {McCullough, Connor},
  title = {{Ensemble Effect Using Gaussian Matrices}},
  booktitle = {AES Convention 140},
  note = {Paper 9558},
  year = {2016},
  month = may,
  publisher = {Audio Engineering Society},
  url = {https://aes.org/publications/elibrary-page/?id=18256}
}

TY  - CPAPER
TI  - Ensemble Effect Using Gaussian Matrices
AU  - McCullough, Connor
T2  - AES Convention 140
M1  - Paper 9558
PY  - 2016
DA  - 2016/05/06
UR  - https://aes.org/publications/elibrary-page/?id=18256
PB  - Audio Engineering Society
LA  - en
AB  - The purpose of this paper is to propose an algorithm to serve as an alternative to the chorus effect, the current standard for simulating an ensemble from a single track. Due to the deterministic nature of chorus, specifically the use of an LFO to modulate the delay, chorus often has audible oscillation and does not truly model the behavior of musicians playing simultaneously. The proposed alternative is the implementation of a Gaussian-based algorithm that attempts to model the actual process of musicians playing together. This modeling will be achieved by generating a Gaussian matrix ([# of instruments] x [# of notes]), with each index containing a resampling factor that will temporally and tonally shift each note in a recording. While the Gaussian distribution will serve as the basis for the algorithm, additional constraints will be applied to the resampling factor in order to properly model ensemble behavior.
ER  -