Measurements are hard, and understanding them is harder. It is also very hard to construct a test that isolates what we are trying to measure, and the observer can corrupt the observation.
Less cliche, an observation from one of my college socialology classes: There were studies long ago showing driver's ed made better drivers and it was often mandated and taught in schools. Later studies showed the students taking driver's ed were often upper students and are better drivers with or without the driver's ed training. They weren't better because of the training, or not much, but were better for many, many other reasons.
That paper, or earlier versions of it, have been hotly debated for similar reasons.
That's a loaded question... I think we have the equipment, and certainly the dynamic range and resolution is there, but IMO the really, REALLY hard part is figuring out what to measure and how to correlate them to what we hear. As for the industry, only a very thing things are actually measured and make it into a data sheet. I do not know what is going in universities but I think there is a lot more research that could be done on the measurement side, understand the ear/brain/hearing system, and psychoacoustics in general. Put another way, we have the tools, but knowing how to use them and how to relate them to what we hear, there's a gap.
I couldn't agree more with what Don said. I certainly believe the test equipment exists to measure anything we would possibly want to measure. The trick is knowing what to measure with the test gear we have that correlates with what our ears hear. We aren't there yet. We have a decent foundation, but we don't have the entire building constructed yet.
I suppose now that studies like these are starting to surface, we can be "allowed" to trust our ears.![]()
Less cliche, an observation from one of my college socialology classes: There were studies long ago showing driver's ed made better drivers and it was often mandated and taught in schools. Later studies showed the students taking driver's ed were often upper students and are better drivers with or without the driver's ed training. They weren't better because of the training, or not much, but were better for many, many other reasons.
Very similar to the findings contained in the book, Bounce by Matthew Syed. He writes that talent is overrated because successful people often are those who has put in the most effort. Purposeful practice of a minimum of 10,000 hrs is required before someone begin to excel at his/her particular fields and this includes sportsperson, musicians etc. This also applies to the so called golden ears. The key word here is purposeful practice. Just listening a lot is not purposeful practice. Many people claim to hear/not hear something but do they actually have the skills required to hear/not hear it in the first place. This is a major reason why we always have no confirmation in any test, dbt or otherwise because the participants do not have the same level of competency but somehow everyone will always claim to be a pro. Noticed the tests in the papers are aced by a musician and a sound engineer? And people whose fields of expertise related to music scores best? this is no anomaly, it is because they had trained to hear better. Now before someone jumps in and say, "but but but there are also musicians who fails in test", yes but they might not necessarily trained to hear what was being tested. Purposeful practice is key.
There are many other subjects in the book that is so relevant to our hobby.
Doesn't that fly in the face of Olive's results that there's no hearing differences between trained and untrained listeners?
The same Olive who some times ago, wrote about how to listen? in this very website (WBF)? If that was his conclusions, why would he write about how to listen? I find this very odd or is it taken out of context, if indeed he wrote such?
Yes check out his results. Amir emphasized this data set. And it's not taken out of context. The context was that there was no difference between trained and untrained listeners in discriminating between speakers.
Trained listeners with normal hearing are used at Harman International for all standard listening tests related to research and competitive benchmarking of consumer, professional and automotive audio products. This article explains why we use trained listeners,
Very similar to the findings contained in the book, Bounce by Matthew Syed. He writes that talent is overrated because successful people often are those who has put in the most effort. Purposeful practice of a minimum of 10,000 hrs is required before someone begin to excel at his/her particular fields and this includes sportsperson, musicians etc. This also applies to the so called golden ears. The key word here is purposeful practice. Just listening a lot is not purposeful practice. Many people claim to hear/not hear something but do they actually have the skills required to hear/not hear it in the first place. This is a major reason why we always have no confirmation in any test, dbt or otherwise because the participants do not have the same level of competency but somehow everyone will always claim to be a pro. Noticed the tests in the papers are aced by a musician and a sound engineer? And people whose fields of expertise related to music scores best? this is no anomaly, it is because they had trained to hear better. Now before someone jumps in and say, "but but but there are also musicians who fails in test", yes but they might not necessarily trained to hear what was being tested. Purposeful practice is key.
We have all the measurment capability we need, what we don't have, in plain old stereo, is a proper replication system of what our ears hear. There are no unknown mesurments, there is however, a severly limited replication system. And nobody has hearing better than the existing measureing equipment, nobody. And, like was said, simple tests used in specifications in the industry are not the only measurment systems that are and can be used.
VW will not pull a railroad car loaded with rocks. POS has its limits, and our measurments are far past its capabilities.
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