A Multiple Regression Model for Predicting Loudspeaker Preference Using Objective Measurements: Part II - Development of the Model

Olive SE. A Multiple Regression Model for Predicting Loudspeaker Preference Using Objective Measurements: Part II - Development of the Model. In: AES Convention 117. Audio Engineering Society; 2004. Paper 6190. Available from: https://aes.org/publications/elibrary-page/?id=12847

@inproceedings{Olive2004_12847,
  author = {Olive, Sean E.},
  title = {{A Multiple Regression Model for Predicting Loudspeaker Preference Using Objective Measurements: Part II - Development of the Model}},
  booktitle = {AES Convention 117},
  note = {Paper 6190},
  year = {2004},
  month = oct,
  publisher = {Audio Engineering Society},
  url = {https://aes.org/publications/elibrary-page/?id=12847}
}

TY  - CPAPER
TI  - A Multiple Regression Model for Predicting Loudspeaker Preference Using Objective Measurements: Part II - Development of the Model
AU  - Olive, Sean E.
T2  - AES Convention 117
M1  - Paper 6190
PY  - 2004
DA  - 2004/10/06
UR  - https://aes.org/publications/elibrary-page/?id=12847
PB  - Audio Engineering Society
LA  - en
AB  - A new model is presented that accurately predicts listener preference ratings of loudspeakers based on anechoic measurements. The model was tested using 70 different loudspeakers evaluated in 19 different listening tests. Its performance was compared to 2 models based on in-room measurements with 1/3-octave and 1/20-octave resolution, and 2 models based on sound power measurements, including the Consumers Union (CU) model, tested in Part One. The correlations between predicted and measured preference ratings were: 1.0 (our model), 0.91 (inroom, 1/20th-octave), 0.87 (sound power model), 0.75 (in-room, 1/3-octave), and - 0.22 (CU model). Models based on sound power are less accurate because they ignore the qualities of the perceptually important direct and earlyreflected sounds. The premise of the CU model is that the sound power response of the loudspeaker should be flat, which we show is negatively correlated with preference rating. It is also based on 1/3-octave measurements that are shown to produce less accurate predictions of sound quality.
ER  -