Earlier quoted context omitted.
Also, if we talk about the volume parameter. The human ear's dynamic range is about 120 dB, which includes about 20-30 dB of pain. With 127 bits, we can map that with 1 dB resolution. 16 bit audio ("CD quality") only has a 90 dB dynamic range. We would almost never want a single instrument to have a 90 dB dynamic range, but if we did, MIDI values could logarithmically encode it with a better than 1 dB per step resolu…
> 16 bit audio ("CD quality") only has a 90 dB dynamic range. That's a persistent myth. The channel noise floor at the frequencies of interest of 4x kHz / 16 Bit audio is below -100 dB due to combined noise shaping and dithering. While this means for music 16 bit audio is generally sufficient, it has leaves little room for error; mastering has to be excellent. That's why everyone is recording in 24 bit; it allows you…
The "persistent myth" is that signal-to-noise ratio and dynamic range are somehow identical. They aren't.
It's also a persistent myth that the unaltered quantisation noise spectrum is basically white noise. It isn't, except as a poor approximation.
In fact it's very spiky - mathematically it's literally a function related to related to the sample rate. Some frequencies produce more audible quantisation artefacts than others. This is audible on very good hardware, and it contributes to both harmonic and intermodulation distortion on cheaper hardware.
Dither and noise shaping distract from the effect in a subjectively pleasing way, but technically they're a cheap fix - like blurring a jpeg and pretending this somehow magically removes all of the compression artefacts. The result may be fine for Instagram, but not for commercial photography.
The bottom line is that 24-bit sampling fixes these issues because they simply become irrelevant. The SNR limits are defined by the analog limitations of the converters, and all of the quantisation artefacts remain below audibility.