What makes or breaks a headphone

Jun 17, 2024 at 10:20 AM Thread Starter Post #1 of 3

Dantist

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One can say whatever they want about crinacle, but what you can't say is that he does not like the data/measurements. I happen to like data than subjective aspects as well, so tried to do some analysis of his database/rankings using common data analysis methods. The results are summarised in this notebook and can be modified to your liking. Basic idea was to test whether

1) you (or at least crinacle himself) can judge headphone/IEM by it's graph as he always says (and the answer is yes - FR is the single most important thing about an IEM)
2) what actually makes or breaks an IEM. Here the answer is also surprisingly simple and given by a figure below:


1718633311435.png


Here "feature importances" are plotted (thick bluish line) as function of frequency (and remember, FR is the main thing which defines ranking in crin's table).
What one can see in this plot is that two single most important features are the presence peak and dip at ~2 and ~5 kHz respectively.
This is something long known even among experienced amateurs, but it took sound engineers quite a long time to understand importance of this region.
Note that both peak and dip are important (peak gives what's perceived as details and if there's no dip then sound will be too harsh), and their frequencies/amplitudes are a matter of personal biology/preference and what works for crin may not work for you. On the other hand, if you know a headphones you like, you can use one of the graph comparison tools to select similar ones with perhaps a touch more detail (higher peak) or less brilliance (deeper dip), or "more bass" as desired.
The bass is also important, by the way, but perhaps not for crin :) In any case, even if you like the bass, I'd first look at presence region.

Another conclusion is that tech used in IEMs is relatively unimportant unless there's Piezo. That's likely because Piezo is operating in presence region, so if anything goes wrong with the implementation, you're screwed. At least that's my interpretation. Feel free to correct/expand analysis if you like, the linked repo also contains some code to digitise FRs from the plots on crin's website, so can be also useful in this regard.
 
Jun 18, 2024 at 2:55 AM Post #2 of 3
This is something long known even among experienced amateurs, but it took sound engineers quite a long time to understand importance of this region.
Oh dear, this the result of the YouTuber age! It did take some time for sound engineers to understand the importance of that region, the importance wasn’t fully quantified until about 1933, although most sound engineers had some idea of its importance before then. The ITU built-in that importance to the K-Weighted filter employed in the loudness normalisation standards recommended around 2008 but this is the YouTube age, so don’t let history, the facts or the work of countless thousands of highly qualified, professional scientists/engineers get in the way of what “experienced amateurs” or a YouTuber with 100k subscribers claim! lol

G
 
Jun 18, 2024 at 11:16 AM Post #3 of 3
Oh dear, this the result of the YouTuber age! It did take some time for sound engineers to understand the importance of that region, the importance wasn’t fully quantified until about 1933, although most sound engineers had some idea of its importance before then. The ITU built-in that importance to the K-Weighted filter employed in the loudness normalisation standards recommended around 2008 but this is the YouTube age, so don’t let history, the facts or the work of countless thousands of highly qualified, professional scientists/engineers get in the way of what “experienced amateurs” or a YouTuber with 100k subscribers claim! lol

G

Ah, I guess you misinterpreted my post: by no means I meant that that's something new! That's why I said "even experienced amateurs" (because large fraction of *even* experienced amateurs know words like "presence", "sibilance" etc, but don't really care to think what they mean). Of course, professionals are all well aware of all of this!
But it did took efforts of thousands skilled professionals and some years in 30ies-40ies (i.e. a long time). My point was mostly that it's just kind of funny that you can deduce similar conclusions from a mix of unscientific measurements and subjective rankings of a random YouTube guy :) That's what surprised me when I played with this dataset just for fun and that's why I decided to post (another reason being that if someone needs crin's measurements/rankings in a workable format, there's now a json for that).
 

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