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Higher frequencies carry more energy, also every human has a sense of waveforms. It's called "sound". Tonality and sound differentiation are deeply important to

Higher frequencies carry more energy, also every human has a sense of waveforms. It's called "sound". Tonality and sound differentiation are deeply important to speech as well as for recognizing animals. Then there's music, of course :) But I guess you were getting at some sort of synaesthesia? Indeed an interesting question how that is related. I was referring to waveforms because of the duality with sound

rcxdude 2y ago
I think the surprising thing would be if the logic goes high frequency -> spiky waveform -> spiky shape, because that would imply that that particular representation of the sound is being used as part of the intuition. Which would be unusual, as it's not generally how people experience sound (for sure the opposite doesn't really occur: even someone very used to looking at waveforms will struggled to actually understand a sound by looking at the waveform to anywhere near the detail of listening to it). Even with synesthesia it tends to be associated with colors/feelings/smells etc in a way that doesn't tend to match with technical representation of sound.
- moritzwarhier 2y ago
  Well how would you imagine a spiky sound from say, a synthesizer? Guess it would have lots of overtones / not a smooth signal curve (Fourier duality)
- pineaux 2y ago
  I dont know if this is true. For example sine waves, saws and square waves are very intuitive to me. I think with graphical representation of sound the problem is that the experience of complex sounds is a 3 dimensional thing to humans. When we talk about music, layers or tracks or whatever you want to call them always become a thing. For the sound nerds: A spectrum representation also does not reflect how we experience sound. We humans/animals are so trained or born to distinguish sound sources by timbre. A spectrum analyser splits it on the spectrum of tones, not the spectrum of timbres, therefor it's still not a good representation.
- bowsamic 2y ago
  Well we don’t hear in the time domain, we hear in the frequency domain. The neuron firing rate is too slow to sample audio. Our ear does a kind of Fourier decomposition. Still in a sense we’re hearing the waveform, just the Fourier decomposition of it.
- int_19h 2y ago
  Consider why we call some sounds "acute".

rcxdude 2y ago

I think the surprising thing would be if the logic goes high frequency -> spiky waveform -> spiky shape, because that would imply that that particular representation of the sound is being used as part of the intuition. Which would be unusual, as it's not generally how people experience sound (for sure the opposite doesn't really occur: even someone very used to looking at waveforms will struggled to actually understand a sound by looking at the waveform to anywhere near the detail of listening to it). Even with synesthesia it tends to be associated with colors/feelings/smells etc in a way that doesn't tend to match with technical representation of sound.

moritzwarhier 2y ago
Well how would you imagine a spiky sound from say, a synthesizer? Guess it would have lots of overtones / not a smooth signal curve (Fourier duality)
pineaux 2y ago
I dont know if this is true. For example sine waves, saws and square waves are very intuitive to me. I think with graphical representation of sound the problem is that the experience of complex sounds is a 3 dimensional thing to humans. When we talk about music, layers or tracks or whatever you want to call them always become a thing. For the sound nerds: A spectrum representation also does not reflect how we experience sound. We humans/animals are so trained or born to distinguish sound sources by timbre. A spectrum analyser splits it on the spectrum of tones, not the spectrum of timbres, therefor it's still not a good representation.
bowsamic 2y ago
Well we don’t hear in the time domain, we hear in the frequency domain. The neuron firing rate is too slow to sample audio. Our ear does a kind of Fourier decomposition. Still in a sense we’re hearing the waveform, just the Fourier decomposition of it.
int_19h 2y ago
Consider why we call some sounds "acute".