A Model for Calculating Psychoacoustical Fluctuation Strength

Zhou T, Zhang M, Li C. A Model for Calculating Psychoacoustical Fluctuation Strength. J Audio Eng Soc. 2015;63(9):713-724. doi:10.17743/jaes.2015.0070

@article{Zhou2015_17874,
  author = {Zhou, Tingting and Zhang, Ming and Li, Chen},
  title = {{A Model for Calculating Psychoacoustical Fluctuation Strength}},
  journal = {Journal of the Audio Engineering Society},
  volume = {63},
  number = {9},
  pages = {713--724},
  year = {2015},
  month = sep,
  publisher = {Audio Engineering Society},
  doi = {10.17743/jaes.2015.0070},
  url = {https://doi.org/10.17743/jaes.2015.0070}
}

TY  - JOUR
TI  - A Model for Calculating Psychoacoustical Fluctuation Strength
AU  - Zhou, Tingting
AU  - Zhang, Ming
AU  - Li, Chen
T2  - Journal of the Audio Engineering Society
J2  - J. Audio Eng. Soc.
VL  - 63
IS  - 9
SP  - 713
EP  - 724
PY  - 2015
DA  - 2015/09/06
DO  - 10.17743/jaes.2015.0070
UR  - https://doi.org/10.17743/jaes.2015.0070
PB  - Audio Engineering Society
LA  - en
AB  - When sound is modulated at frequencies up to 20 Hz, the sensation is that of fluctuation strength. At faster amplitude variations, the sensation is that of roughness. This report describes a new model for calculating fluctuation strength based on equivalent rectangular bandwidth. By using 75 filter channels on the ERB number scale, the total fluctuation strength is calculated by weighting, filtering, and adding the generalized modulation depth (GMD) in each channel. The model changes the way that GMD is converted into specific fluctuation strength. Using an ERB number scale instead of Bark scale provides other advantages. The calculated results using the new model are more consistent with subjective ratings with an RMS error that is decreased by 90% and correlation coefficients are increased by 20%. The proposed model can be used for both narrow and wideband noises.
ER  -