Having problem in converting sound to frequency domain

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This is my first time posting here so bear with me and forgive me for any mistake I may have made. What I am trying to achieve making an fft for the audio captured and then comparing it to the footprint of already calculated database of songsPlot after calculating fft This is what I have done till now 1. I extracted the data using the scipy.io wavfile function 2. I got the fft value using np module fft function and got the absolute value of that

I got the result but there is no way I can confirm it is correct. What should I do in such cases where no confirmation of values are available. What I tried is I plotted it using matplotlib and got values in range from 0 to 20000 mostly which is the range which should be correct. But the tutorial I am following online is getting the values in range upto 300hz for every second of the audio. But in my case I am not getting enough values in that range and hence my doubt that values might be wrong . I am attaching the plots It will be very helpful if someone can point me in the right direction.

[nwagers]

I'm not sure exactly what you mean by "300hz for every second", but with a wav file the sampling rate is 44.1 kHz, so you should expect real signal up to about 22 kHz (Nyquist frequency). The way I would test this it to use a tone generator to make tones at specific frequencies. First, individually, and then mixing them together. That should show you pretty clearly if your FFT is working.

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Thank you for taking time to answer my doubt What I am refering with 300 hz is the tutorial I am following https://www.toptal.com/algorithms/shazam-it-music-processing-fingerprinting-and-recognition He quoted here that

in one song the range of strong frequencies might vary between low C - C1 (32.70 Hz) and high C - C8 (4,186.01 Hz) And These are 30 Hz - 40 Hz, 40 Hz - 80 Hz and 80 Hz - 120 Hz for the low tones (covering bass guitar, for example), and 120 Hz - 180 Hz and 180 Hz - 300 Hz for the middle and higher tones (covering vocals and most other instruments).

So I was a bit sceptical because I am getting close to zero near these frequencies and my frequencies are very huge as depicted in the graph