I was thinking about audio compression (namely mp3), that "filters" out sound that we would not likely hear.

The MP3 lossy audio data compression algorithm takes advantage of a perceptual limitation of human hearing called auditory masking. from: http://en.wikipedia.org/wiki/MP3

I've also checked the wiki entry for auditory masking, and found this:

If two sounds of two different frequencies are played at the same time, two separate sounds can often be heard rather than a combination tone. The ability to hear frequencies separately is known as frequency resolution or frequency selectivity. When signals are perceived as a combination tone, they are said to reside in the same critical bandwidth.

My question is how much is this critical bandwidth or what's the smallest frequency difference we can perceive as two different tones, if you wish. Let's assume that both tones are equally loud, are coming from the same direction and distance and we are in a quiet room - so basically we eliminate as much noise and affecting phenomenons as possible.

As @ sanchises pointed out (thank you again!) in the comment section the frequency resolution is 3.6Hz between 1 and 2kHz. But since perception threshold is a function of the pitch of the sound I'd assume that the ability to resolve two tones would change with pitch too. Does anybody have any data on that? For example resolution X pitch graph.

  • $\begingroup$ possible duplicate of What are the lower and upper hearing limits of the human ear? $\endgroup$
    – Berne
    Apr 4, 2015 at 13:52
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    $\begingroup$ Just googling 'frequency resolution human ear' yields the wikipedia page on Psychoacoustics: Frequency resolution of the ear is 3.6 Hz within the octave of 1000 – 2000 Hz. $\endgroup$
    – Sanchises
    Apr 4, 2015 at 14:03
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    $\begingroup$ @Dane Not a duplicate; this question is about resolution, not range. $\endgroup$
    – Sanchises
    Apr 4, 2015 at 14:05
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    $\begingroup$ @Dane - I"m aware of the lower and upper bounds of human hearing, my question is not about that. I've specifically linked that my question is linked is related to auditory masking and the critical bandwidth. $\endgroup$ Apr 4, 2015 at 14:05
  • $\begingroup$ @sanchises - I've googled many things, yet not the most obvious :S I got stuck around audio compression, and forgot to take a step back.... $\endgroup$ Apr 4, 2015 at 14:14

2 Answers 2


The frequency limen, or frequency resolution can be determined in various ways using psychophysical measures. You refer to a simultaneous method, in which two (or more) frequencies are presented at the same time. This has consequences for the test as different frequencies are perceived with different perceived loudness under constant sound pressure levels, meaning that additional cues are present besides pitch cues.

One carefully controlled study Zwicker et al (1957) in this regard defined the critical band basically as "those frequencies where no intensity summation occurs", meaning that adding those frequencies (below or above the center frequency) do not result in differences in loudness perception (as expressed in acoustic threshold of the center frequency). This method nicely prevents loudness summation cues by deploying them in the criterion. This article shows the following picture (after Zwicker et al. (1957)):

Difference limen

The critical band (upper graph) is dependent on frequency, and ranges from 0.1 kHz to >2 kHz.

The markedly lower difference limen of 3.6 Hz as touched upon in the comments may have been obtained using an alternative psychophysical test where the test frequency is modulated by another frequency (bottom graph). This procedure is based on adding a frequency to a certain sinusoidal stimulus, basically resulting in a single stimulus instead of two (or more). This procedure is technically not defined as a critical band and indeed results in a difference limen of ~3.5 hz and up. The other graph plotted in the figure is a masking procedure (middle plot), which basically determines the physiological overlap between frequencies in the cochlea in the intensity domain by determining the amount of masking from one frequency by another.

NB: The authors worked with headphones so no effects of direction.

Zwicker et al. JASA 1957; 29: 548-57

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    $\begingroup$ I guess you had to dig really deep to find this paper.... thank you! $\endgroup$ Apr 8, 2015 at 16:44

I think you have already gotten ur question answered. The human auditory system has the resolution of 640 different frequencies, so dividing the hearing frequency range by this you could see the smallest frequency. although the bandwidth is not constant in the whole range (100 for frequencies below 500 Hz and 0.2f for frequencies above 500 Hz). Also, the auditory system of ours has a dynamic resolution of less than 1 dB. hope I got it right :)

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    $\begingroup$ It is important to add references to improve the quality of the answer. $\endgroup$
    – have fun
    Feb 6, 2018 at 7:14

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