A Statistical Metric for Stability in Instrumental Vibrato

Smith SR, Bocko MF. A Statistical Metric for Stability in Instrumental Vibrato. In: AES Convention 145. Audio Engineering Society; 2018. Paper 10069. Available from: https://aes.org/publications/elibrary-page/?id=19795

@inproceedings{Smith2018_19795,
  author = {Smith, Sarah R. and Bocko, Mark F.},
  title = {{A Statistical Metric for Stability in Instrumental Vibrato}},
  booktitle = {AES Convention 145},
  note = {Paper 10069},
  year = {2018},
  month = oct,
  publisher = {Audio Engineering Society},
  url = {https://aes.org/publications/elibrary-page/?id=19795}
}

TY  - CPAPER
TI  - A Statistical Metric for Stability in Instrumental Vibrato
AU  - Smith, Sarah R.
AU  - Bocko, Mark F.
T2  - AES Convention 145
M1  - Paper 10069
PY  - 2018
DA  - 2018/10/06
UR  - https://aes.org/publications/elibrary-page/?id=19795
PB  - Audio Engineering Society
LA  - en
AB  - When instrumentalists perform with vibrato, they add a quasi-periodic frequency modulation to the note. Although this modulation is rarely purely sinusoidal, many methods for vibrato parameterization focus exclusively on the rate and depth of the frequency modulation, with less attention given to measuring how a performer’s vibrato changes over the course of a note. In this paper we interpret the vibrato trajectories as instantiations of a random process that can be characterized by an associated autocorrelation function and power spectral density. From these distributions, a coherence time can be estimated that describes the stability of the vibrato within a note. This metric can be used to characterize individual performers as well as for resynthesizing vibratos of different styles.
ER  -