9/11/2023 0 Comments Mp3 duplicate finder review![]() ![]() Raise Exception('Empty lists cannot be correlated.')Įlif offset min(len(listx), len(listy)): # Error checking in main program should prevent us from ever being # convert fingerprint to list of integersįingerprints = list(map(int, fpcalc_out.split(','))) Min_overlap = 20# report match when cross correlation has a peak exceeding thresholdįpcalc_out = subprocess.getoutput('fpcalc -raw -length %i %s' % (sample_time, filename))įingerprint_index = fpcalc_out.find('FINGERPRINT=') + 12 # exception is raised if this cannot be met Step = 1# minimum number of points that must overlap in cross correlation ![]() Span = 150# step size (in points) of cross correlation Sample_time = 500# number of points to scan cross correlation over It requires Chromaprint and FFMPEG installed, also it doesn't work for short audio files, if this is a problem, you can always reduce the speed of the audio like in this guide, be aware this is going to add a little noise. You can use the following code for that: ffmpeg -i audio1.mkv -c:a pcm_s24le output1.wavįfmpeg -i audio2.mkv -c:a pcm_s24le output2.wavĪnd below there's a code to get a number from 0 to 100 for the similarity from two audio files using python, it works by generating fingerprints from audio files and comparing them based out of them using cross correlation High sample rate is not required since you need a fuzzy comparison anyway, but too low sample rate will lose too much details. You'll need to resample songs that have different sample rate. This link from the official python page may also be helpful.įirst you need to decode them into PCM and ensure it has specific sample rate, which you can choose beforehand (e.g. I imagine any library that can visual spectrogram can help you compare them. You might want to check out, which apparently can do spectrogram visualization. I know of several cases were reissues are remastered at a higher volume, thus changing the replaygain. This will only work on the exact same song from the exact same album. If they are the same song, they should be be tagged with the same gain. ![]() Just a word of warning, this is an expensive operation.Īnother idea, use ReplayGain to scan the files. There should be a library out there for this. wav or maybe by just running the analysis on the MP3 file itself. Either by converting the MP3 to an uncompressd. This is a little out of my league but I would approach the problem by looking at the wave pattern of the MP3. Re-encoding at the same bit rate won't work, in fact it may make things worse as transcoding (that is what re-encoding at different bitrates is called) is going to change the nature of the compression, you are recompressing an already compressed file is going to lead to a significantly different file. ![]()
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