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As a blind person, I am curious as to whether or not I can use Wolfram to play functions. For example, if I were to plugg in y = x squared from -10 to 10, I would expect to hear a decreasing tone as the function flattens out, then a normal tone at the origin, then tones of increasing pitch as the function moves towards positive infinity.

Pythonicator
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2 Answers2

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Using the play function and sine you can create a function that does what you want mostly ( using amplitude instead of frequency).

sinPlay[f_, { start_, end_},  baseFreq_] := EmitSound[ Play[Sin[x *baseFreq]* f[x], {x,start,end}]]

This function maps the height of the function to amplitude. Note that because it scales sound to from silence to moderately loud, y=1 sounds the same as y=5, likewise y=2x sound the same as y=5x.

It is called like this (the x^2 function):

sinPlay[#*#  &, { 0, 2}, 1000]

#*# & is an anonymous function (into to them) that takes one number and squares it. {0, 2} is the part of the function you want to listen to in seconds. So {0, 2} generates a two second clip.

This is the square root function:

sinPlay[Sqrt[#] &, { 0,10}, 1000]

And this is the sine function:

sinPlay[Sin[#] &, { 0,10}, 1000]

Note the silence is because those are bottoms of the sine function which have been scaled to silence.

Using Frequency Instead

In theory is would be possible to use frequency instead. The function would look something like this: 

 sinPlay[f_, { start_, end_},  baseFreq_] := EmitSound[ Play[Sin[x *baseFreq* f[x]], {x,start,end}]]

But then changes in frequency would also cause changes in time from the sine function. Perhaps something could be done using derivatives to fix this problem, but I have haven't worked it out. Wolfram supplies a function to calculate derivatives for you

Algorithmic Canary
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You may use Play. However, you would not get much of a sound with that function. You should try a sine or cosine function to start.

Edmund
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  • Would it then be possible to track the function based on the codomain and change the pitch of the sound as the values change? I.e. higher tones for going up the y axis, lower for going below zero to negative infinity? – Pythonicator Jan 28 '17 at 12:57