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In Reply to: Why not make it easy enough posted by E-Stat on December 6, 2014 at 09:15:35:
That's how to train.
One learns first with severe impairment and then gradually moves to lesser and lesser impairment after symptoms are recognized. This helps in recognizing musical excerpts that are likely to be diagnostic for specific artifacts. This is easily done with dither algorithms by attenuating the hi-res signal, down sampling with the dither algorithm and then boosting back the missing gain. That way one can get any number of bits resolution. One can listen, as I did, to different dither algorithms at the 8 bit level. One can hear distortion (no dither), noise modulation without distortion (RPDF dither), or higher order modulation without noise power modulation or distortion (subtractive dither). Filters are much more complex, but it is possible to learn the effect of different filter parameters (such as those in the iZotope SRC). After a lot of effort one comes to recognize specific impairments fairly easily, given the appropriate recordings. As with bit depth it is necessary to start with higher resolution material, so that the filters you will be introducing will be working on more or less unfiltered music and not the result of filters used in the production process.
It is important to understand that whether one hears something or doesn't depends on many factors, most especially the recordings used, the playback equipment, and the attitude of the listener. If one believes that there is nothing to be heard then one has no chance of ever hearing subtle differences. Of course if one does hear differences, there is the problem of correct causal attribution. However, that's a different problem and requires engineering knowledge and experience with experimental design and logic. Training to hear differences is requires the right tools and lesson plan, but is mostly about concentration, patience and determination.
Tony Lauck
"Diversity is the law of nature; no two entities in this universe are uniform." - P.R. Sarkar
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Follow Ups
- That's how to train. - Tony Lauck 09:43:42 12/06/14 (1)
- "That's how to train." - E-Stat 08:12:50 12/07/14 (0)
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