So I have had a chance to read some of discussions and glance over the papers regarding the original research Drs. Toole and Olive have done regarding loudspeaker preference scores and curves. I truly appreciate all the work that really went into this and it is highly commendable. Amir, has also presented the work in his own video showing how trained listeners are better in giving scores that correlate with the most flat curve.
I have a problem with this, and hope after I explain, some of you should also. It seems these trained listeners are very good in knowing what the flat FR loudspeaker should sound like. They are very well trained in knowing and identifying FR deviations. My problem is jumping from this to saying that the most flat FR is the most preferred. Based on the study they have performed, theses trained listeners were highly biased in trying to score and identify the most flat FR loudspeakers. I feel I have become biased this way also.
A true preference score should be done with non-trained listeners who will give their subjective preference without being biased toward identifying the most flat FR. You may need way more people in trying to come up with an experiment like this.
I may be wrong in this. Would appreciate input.
I have a problem with this, and hope after I explain, some of you should also. It seems these trained listeners are very good in knowing what the flat FR loudspeaker should sound like. They are very well trained in knowing and identifying FR deviations. My problem is jumping from this to saying that the most flat FR is the most preferred. Based on the study they have performed, theses trained listeners were highly biased in trying to score and identify the most flat FR loudspeakers. I feel I have become biased this way also.
A true preference score should be done with non-trained listeners who will give their subjective preference without being biased toward identifying the most flat FR. You may need way more people in trying to come up with an experiment like this.
I may be wrong in this. Would appreciate input.