Statistical Analysis of ABX Results Using Signal Detection Theory

Boley J, Lester M. Statistical Analysis of ABX Results Using Signal Detection Theory. In: AES Convention 127. Audio Engineering Society; 2009. Paper 7826. Available from: https://aes.org/publications/elibrary-page/?id=15022

@inproceedings{Boley2009_15022,
  author = {Boley, Jon and Lester, Michael},
  title = {{Statistical Analysis of ABX Results Using Signal Detection Theory}},
  booktitle = {AES Convention 127},
  note = {Paper 7826},
  year = {2009},
  month = oct,
  publisher = {Audio Engineering Society},
  url = {https://aes.org/publications/elibrary-page/?id=15022}
}

TY  - CPAPER
TI  - Statistical Analysis of ABX Results Using Signal Detection Theory
AU  - Boley, Jon
AU  - Lester, Michael
T2  - AES Convention 127
M1  - Paper 7826
PY  - 2009
DA  - 2009/10/06
UR  - https://aes.org/publications/elibrary-page/?id=15022
PB  - Audio Engineering Society
LA  - en
AB  - ABX tests have been around for decades and provide a simple, intuitive means to determine if there is an audible difference between two audio signals. Unfortunately, however, the results of proper statistical analyses are rarely published along with the results of the ABX test. The interpretation of the results may critically depend on a proper statistical analysis. In this paper, a very successful analysis method known as signal detection theory is presented in a way that is easy to apply to ABX tests. This method is contrasted with other statistical techniques to demonstrate the benefits of this approach.
ER  -