Comparing Continuous Subjective Loudness Responses and Computational Models of Loudness for Temporally Varying Sounds

Ferguson S, Cabrera D, Schubert E. Comparing Continuous Subjective Loudness Responses and Computational Models of Loudness for Temporally Varying Sounds. In: AES Convention 129. Audio Engineering Society; 2010. Paper 8177. Available from: https://aes.org/publications/elibrary-page/?id=15600

@inproceedings{Ferguson2010_15600,
  author = {Ferguson, Sam and Cabrera, Densil and Schubert, Emery},
  title = {{Comparing Continuous Subjective Loudness Responses and Computational Models of Loudness for Temporally Varying Sounds}},
  booktitle = {AES Convention 129},
  note = {Paper 8177},
  year = {2010},
  month = nov,
  publisher = {Audio Engineering Society},
  url = {https://aes.org/publications/elibrary-page/?id=15600}
}

TY  - CPAPER
TI  - Comparing Continuous Subjective Loudness Responses and Computational Models of Loudness for Temporally Varying Sounds
AU  - Ferguson, Sam
AU  - Cabrera, Densil
AU  - Schubert, Emery
T2  - AES Convention 129
M1  - Paper 8177
PY  - 2010
DA  - 2010/11/06
UR  - https://aes.org/publications/elibrary-page/?id=15600
PB  - Audio Engineering Society
LA  - en
AB  - There are many ways in which loudness can be objectively estimated, including simple weighted models based on physical sound level, as well as complex and computationally intensive models that incorporate many psychoacoustical factors. These complex models have been generated from principles and data derived from listening experiments using highly controlled, usually brief, artificial stimuli; whereas the simple models tend to have a real world emphasis in their derivation and validation. Loudness research has recently also focused on estimating time-varying loudness, as temporal aspects can have a strong effect on loudness. In this research, continuous subjective loudness responses are compared to time-series outputs of loudness models. We use two types of stimuli: a sequence of sine tones, and a sequence of band-limited noise bursts. The stimuli were analyzed using a variety of loudness models, including those of Glasberg and Moore, and Chalupper and Fastl, and Moore, Glasberg and Baer. Continuous subjective responses were obtained from 24 university students, who rated loudness continuously in time over the period of the experiment, while using an interactive interface.
ER  -