fix: ajust the name from the downloaded song
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@ -18,25 +18,19 @@ import essentia.standard as estd
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from essentia.pytools.spectral import hpcpgram
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import IPython
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#IPython.display.Audio('./en_vogue+Funky_Divas+09-Yesterday.mp3')
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#IPython.display.Audio('./beatles+1+11-Yesterday.mp3')
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#IPython.display.Audio('./aerosmith+Live_Bootleg+06-Come_Together.mp3')
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yesterday_original = 'audio/Yesterday (Remastered 2009).mp3'
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yesterday_cover_01 = 'audio/Yesterday - The Beatles - Connie Talbot (Cover).mp3'
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yesterday_cover_02 = 'audio/The Beatles - Yesterday Saxophone Cover Alexandra Ilieva Thomann.mp3'
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different_song = 'audio/Bella Poarch - Build a Btch (Official Music Video).mp3'
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different_song = 'audio/Jacques Brel - Ne Me Quitte Pas.mp3'
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IPython.display.Audio(yesterday_original)
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IPython.display.Audio(yesterday_cover_01)
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IPython.display.Audio(yesterday_cover_02)
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IPython.display.Audio(different_song)
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# query cover song
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original_song = estd.MonoLoader(filename=yesterday_original, sampleRate=32000)()
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true_cover_01 = estd.MonoLoader(filename=yesterday_cover_01, sampleRate=32000)()
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true_cover_02 = estd.MonoLoader(filename=yesterday_cover_02, sampleRate=32000)()
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# wrong match
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false_cover_1 = estd.MonoLoader(filename=different_song, sampleRate=32000)()
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@ -46,7 +40,6 @@ false_cover_1 = estd.MonoLoader(filename=different_song, sampleRate=32000)()
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query_hpcp = hpcpgram(original_song, sampleRate=32000)
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true_cover_hpcp_1 = hpcpgram(true_cover_01, sampleRate=32000)
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true_cover_hpcp_2 = hpcpgram(true_cover_02, sampleRate=32000)
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false_cover_hpcp = hpcpgram(false_cover_1, sampleRate=32000)
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@ -84,15 +77,6 @@ plt.ylabel('Yesterday - The Beatles')
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plt.imshow(true_pair_crp_1, origin='lower')
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true_pair_crp_2 = crp(query_hpcp, true_cover_hpcp_2)
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fig = plt.gcf()
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fig.set_size_inches(15.5, 5.5)
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plt.title('Cross recurrent plot [1]')
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plt.xlabel('Yesterday accapella cover')
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plt.ylabel('Yesterday - The Beatles')
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plt.imshow(true_pair_crp_2, origin='lower')
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@ -154,23 +138,6 @@ plt.imshow(score_matrix, origin='lower')
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print('Cover song similarity distance: %s' % distance)
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## other similar
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score_matrix, distance = estd.CoverSongSimilarity(disOnset=0.5,
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disExtension=0.5,
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alignmentType='serra09',
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distanceType='asymmetric')(true_pair_crp_2)
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fig = plt.gcf()
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fig.set_size_inches(15.5, 5.5)
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plt.title('Cover song similarity distance: %s' % distance)
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plt.xlabel('Yesterday accapella cover')
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plt.ylabel('Yesterday - The Beatles')
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plt.imshow(score_matrix, origin='lower')
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print('Cover song similarity distance: %s' % distance)
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## Computing cover song similarity distance between Yesterday - accapella cover and Come Together cover - The Aerosmith.
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score_matrix, distance = estd.CoverSongSimilarity(disOnset=0.5,
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@ -10,9 +10,10 @@ from essentia.pytools.spectral import hpcpgram
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yesterday_original = 'audio/Yesterday (Remastered 2009).mp3'
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yesterday_cover_01 = 'audio/Yesterday - The Beatles - Connie Talbot (Cover).mp3'
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wrong_song = 'audio/Bella Poarch - Build a Btch (Official Music Video).mp3'
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wrong_song = 'audio/Jacques Brel - Ne Me Quitte Pas.mp3'
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song_reference = yesterday_original
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song_reference = yesterday_original # the original song analysed in normal mode
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song_streaming = wrong_song # the song get in stream mode to compare to reference
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# query cover song
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original_song = estd.MonoLoader(filename=song_reference, sampleRate=32000)()
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@ -27,11 +28,10 @@ true_cover_hpcp = hpcpgram(original_song, sampleRate=32000)
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import essentia.streaming as estr
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from essentia import array, run, Pool
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query_filename = wrong_song
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# Let's instantiate all the required essentia streaming algorithms
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audio = estr.MonoLoader(filename=query_filename, sampleRate=32000)
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audio = estr.MonoLoader(filename=song_streaming, sampleRate=32000)
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frame_cutter = estr.FrameCutter(frameSize=4096, hopSize=2048)
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