Few things have changed my views on audio as sitting in this room and voting for speakers "blind." Here is what the setup looks like and nice history of it from Dr. Sean Olive. Only 11 minutes and "must watch:"
They give away the tool. It is called appropriately, "how to listen."Fascinating! Does anybody know according to what criteria the listeners are trained?
But it is trivial for a machine to give us a precise, objective measurement of #2. Why do humans need to be able to do it?In a nutshell, the training software allows you to:
1. Tell frequency response variations
2. Be able to identify accurately the nature of the response variation
...
We are all pretty good about #1 but poor on #2. Training software helps to improve #2.
One day the machines will deceive us.. We must never become complacent ....But it is trivial for a machine to give us a precise, objective measurement of #2. Why do humans need to be able to do it?
There is merit in what you wrote here.But it is trivial for a machine to give us a precise, objective measurement of #2. Why do humans need to be able to do it?
Looking at:
https://www.harman.com/sites/default/files/white-paper/12/11/2015 - 05:54/files/AudioScience.pdf
And seeing:
Page 8: "High-frequency loss, by itself, was not a clearly correlated factor. Reference 4 covers this in detail."
4. Toole, F.E., “Subjective Measurements of Loudspeaker Sound Quality and Listener Performance”, J. Audio Eng. Soc., vol. 33, pp. 2-32 (1985 January/February)
Not having access nor $33 worth of interest (since there is nothing I can do about my (possibly) genetic disposition to not hearing HF), could you (Amir) post an excerpt or summarize whatever is said on this topic, that is (as I interpret what I read), HF loss but normal LF acuity?
The measurement is half the battle. You then need to correlate that with human preference. We have two ears which cannot be represented by one microphone. You could perform binaural measurements but then you have two graphs and you have to decide how the brain would interpret the different signals. It is more practical to use humans to get the data. Once there, you work backward to what measurements contributed to that. And that is precisely what is done now.But it is trivial for a machine to give us a precise, objective measurement of #2. Why do humans need to be able to do it?
. So my guess would be hearing still good to 8 khz would only change results slightly.
Mine is lower than that. Maybe I'm lucky! Can't be annoyed by HF defects...
My "perception" when shopping back in 1995 was the highs were present in the panels (no cross in the range) when they weren't on three ways... Is this tweeter working? At all? Hello?
Interestingly (to me), I can't even seem to imagine frequencies higher than I can hear. Can you?
But it has already been stated that the assumption is that frequency response variations are the strongest predictor of speaker preference. In other words, we seem to be training people in order for them to confirm what a machine can already tell us.The measurement is half the battle. You then need to correlate that with human preference. We have two ears which cannot be represented by one microphone. You could perform binaural measurements but then you have two graphs and you have to decide how the brain would interpret the different signals. It is more practical to use humans to get the data. Once there, you work backward to what measurements contributed to that. And that is precisely what is done now.
Hi Blumlein. I would agree with that if it was clear that achieving a smooth response (or low distortion) was expensive. As it is, I don't think there is a problem in achieving any arbitrary response we want, as long as we are prepared to spend more than a few hundred dollars i.e. audiophile pocket money.There is merit in what you wrote here.
OTOH, I think they want to test humans trained to the fullest extent possible of human perception. Then use those listeners to determine just what response variations bother the most trained humans available. Then if they build a product that these humans hear nothing wrong with the assumption is their product is beyond reproach for virtually all humans.
Sort of like saying most humans can hear distortion once it reaches about 1-2%. Some highly trained humans can hear it at .1%. Build gear with less than .1% and no one will hear it.
Of course that doesn't fix the situation when some humans prefer a little distortion to none, or some humans prefer a response accent in some ranges vs none or when recording you want response variations to pretty up an otherwise drab sound vs none.