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Audio files are essentialy arrays (or vectors) of numeric values. If the audio files are uncompressed, the short audio file should exactly match a sequence of values within the long audio file. That means you could use tools like Matlab, Octave, Python (with modules) etc. to read in the audio as an array-like data type and then use provided functions to ...


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The difficulty with the problem presented is that "spectral content" is not just a number you can compare to find degrees of proximity. You need to have complex analysis algorithms, comparing multiple parameters depending on the intended application, and define proximity criteria, normally based on statistical methods. This is true even for relatively "...


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Not free, but our individual download site has a waveform viewer: http://download.prosoundeffects.com There's also a "Sonic Search" function that looks for tracks sonically similar to a particular YouTube or Soundcloud track. It was originally designed for music, but it might give you some interesting results for sound effects too. Click the up arrow in ...


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