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282 points elsewhen | 1 comments | | HN request time: 0.203s | source
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an_d_rew ◴[] No.41910659[source]
As a mid-50 year old who discovered two years ago that he has moderate hearing loss (50-55 dB HL), I will be forever grateful to Apple for doing this.

If anybody from the accessibility teams is reading this, please know that it is difficult for me to overstate my gratitude and my appreciation for the amount of work this must've taken.

Music sounds unbelievably better through my AirPod pros, and I didn't even know what I had lost until I heard it again.

I'm willing to bet that a lot of my middle aged compatriots don't even know how much their hearing has degraded… Get your hearing test tested, folks, while you still have it!

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DanielleMolloy ◴[] No.41912148[source]
Did you try AppleMusic?

Not directly related to your case, but I thought I had some age-related hearing loss when listening to Spotify Premium only for a decade. I appreciate their recommendations (found me a whole bunch of new interesting bands, even new favourite ones), but didn't know how awful Spotify's quality is even in comparison to Apple's standard codec.

I didn't make the switch yet since for lossless since I don't have enough space on my phone, but am considering it, even for just showing support for the current music quality efforts over at Apple.

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gnatolf ◴[] No.41912319[source]
Spotify high quality is usually 320kbps. If not, it's because only worse qualities are recorded/available. I have sincere doubts you're able to hear a difference to lossless qualities, especially if you're listening on the go or in non-hifi setups.

The Apple RDF seems strong here.

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dbspin ◴[] No.41912349[source]
I've heard this argument so many times - but personally I can trivially easily here the difference between Tidal / Apple Music and Spotify's 'high quality' setting - even on wireless headphones. Music on spotify sounds flat and drained. No idea if this has something to do with their compression technique, some kind of EQing, or a flaw in some other part of the pipeline, but I've blind tested it many times and its night and day.
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slickytail ◴[] No.41912380[source]
Generally the problem with this type of argument is that the two sources are not volume-matched. Try out an ABX test here, of lossless vs various lossy codecs: https://abx.digitalfeed.net/
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threeseed ◴[] No.41912704[source]
So that test doesn't mention how the FLAC was encoded back in 2014.

Because most of the benefits of Apple/Tidal lossless come from the fact they are encoding in 24-bit, 192 kHz direct from the original masters.

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ZeroGravitas ◴[] No.41912812[source]
Which is effectively a remaster and so invalidates every single claim that detecting a difference is due to superior fidelity.
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threeseed ◴[] No.41912878[source]
Not all of the library is encoded this way and you can still easily hear the difference.
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amlib ◴[] No.41913670[source]
Which still means it's a remaster/different mix.

I used to be like you many years ago, thinking that high samplerates and bit depth were essential and the ultimate way of getting the best possible sound quality, but in reality 44.1khz 16bit is plenty for humans. Get over it. Whoever mixed the 192khz version essentially remastered it and put a bit of a spice over it. You can easily prove it by producing a downmixed 44khz version (use a high quality resampler) from the 192khz version and trying to blind ABX both, I doubt you will be able to spot any difference, and if you do, congratulations your sound system has some weird intermodulation issue from the high frequencies present in the high sample rate version, that is causing a listenable sound to appear (which should not be there).

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layer8 ◴[] No.41913817[source]
This. No double-blind ABX test has ever been able to discern the difference between an above-CD quality file and its downsampled CD-quality equivalent, or even a 320 kbps MP3 encoding of it.
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1. DanielleMolloy ◴[] No.41921032[source]
Most people are not listening closely, nearly meditating over music. If you average over most people, this is what you will find. Look at the "outliers" in those same studies.