[5e491b3b] | 1 | from aubioclass import * |
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[0029638] | 2 | from bench.node import bench |
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[5e491b3b] | 3 | |
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[7473074] | 4 | def get_onset_mode(nvalue): |
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[5e491b3b] | 5 | """ utility function to convert a string to aubio_onsetdetection_type """ |
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[7473074] | 6 | if nvalue == 'complexdomain' or nvalue == 'complex' : |
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| 7 | return aubio_onset_complex |
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| 8 | elif nvalue == 'hfc' : |
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| 9 | return aubio_onset_hfc |
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| 10 | elif nvalue == 'phase' : |
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| 11 | return aubio_onset_phase |
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| 12 | elif nvalue == 'specdiff' : |
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| 13 | return aubio_onset_specdiff |
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| 14 | elif nvalue == 'energy' : |
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| 15 | return aubio_onset_energy |
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| 16 | elif nvalue == 'kl' : |
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| 17 | return aubio_onset_kl |
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| 18 | elif nvalue == 'mkl' : |
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| 19 | return aubio_onset_mkl |
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| 20 | elif nvalue == 'dual' : |
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| 21 | return 'dual' |
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| 22 | else: |
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| 23 | import sys |
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| 24 | print "unknown onset detection function selected" |
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| 25 | sys.exit(1) |
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| 26 | |
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[0029638] | 27 | def get_pitch_mode(nvalue): |
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| 28 | """ utility function to convert a string to aubio_pitchdetection_type """ |
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| 29 | if nvalue == 'mcomb' : |
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| 30 | return aubio_pitch_mcomb |
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| 31 | elif nvalue == 'yin' : |
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| 32 | return aubio_pitch_yin |
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| 33 | elif nvalue == 'fcomb' : |
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| 34 | return aubio_pitch_fcomb |
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| 35 | elif nvalue == 'schmitt': |
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| 36 | return aubio_pitch_schmitt |
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| 37 | else: |
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| 38 | import sys |
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| 39 | print "error: unknown pitch detection function selected" |
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| 40 | sys.exit(1) |
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| 41 | |
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[7473074] | 42 | def check_onset_mode(option, opt, value, parser): |
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| 43 | """ wrapper function to convert a list of modes to |
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| 44 | aubio_onsetdetection_type """ |
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[5e491b3b] | 45 | nvalues = parser.rargs[0].split(',') |
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| 46 | val = [] |
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| 47 | for nvalue in nvalues: |
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[7473074] | 48 | val.append(get_onset_mode(nvalue)) |
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[5e491b3b] | 49 | setattr(parser.values, option.dest, val) |
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| 50 | |
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| 51 | def check_pitch_mode(option, opt, value, parser): |
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| 52 | """ utility function to convert a string to aubio_pitchdetection_type""" |
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| 53 | nvalues = parser.rargs[0].split(',') |
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| 54 | val = [] |
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| 55 | for nvalue in nvalues: |
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[0029638] | 56 | val.append(get_pitch_mode(nvalue)) |
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[5e491b3b] | 57 | setattr(parser.values, option.dest, val) |
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| 58 | |
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| 59 | def check_pitchm_mode(option, opt, value, parser): |
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| 60 | """ utility function to convert a string to aubio_pitchdetection_mode """ |
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| 61 | nvalue = parser.rargs[0] |
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| 62 | if nvalue == 'freq' : |
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| 63 | setattr(parser.values, option.dest, aubio_pitchm_freq) |
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| 64 | elif nvalue == 'midi' : |
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| 65 | setattr(parser.values, option.dest, aubio_pitchm_midi) |
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| 66 | elif nvalue == 'cent' : |
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| 67 | setattr(parser.values, option.dest, aubio_pitchm_cent) |
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| 68 | elif nvalue == 'bin' : |
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| 69 | setattr(parser.values, option.dest, aubio_pitchm_bin) |
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| 70 | else: |
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| 71 | import sys |
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| 72 | print "error: unknown pitch detection output selected" |
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| 73 | sys.exit(1) |
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| 74 | |
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| 75 | |
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| 76 | def getonsets(filein,threshold=0.2,silence=-70.,bufsize=1024,hopsize=512, |
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| 77 | mode='dual',localmin=False,storefunc=False,derivate=False): |
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| 78 | frameread = 0 |
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| 79 | filei = sndfile(filein) |
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| 80 | channels = filei.channels() |
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| 81 | myvec = fvec(hopsize,channels) |
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| 82 | readsize = filei.read(hopsize,myvec) |
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| 83 | opick = onsetpick(bufsize,hopsize,channels,myvec,threshold, |
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| 84 | mode=mode,derivate=derivate) |
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| 85 | mylist = list() |
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| 86 | if localmin: |
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| 87 | ovalist = [0., 0., 0., 0., 0.] |
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| 88 | ofunclist = [] |
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| 89 | while(readsize): |
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| 90 | readsize = filei.read(hopsize,myvec) |
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| 91 | isonset,val = opick.do(myvec) |
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| 92 | if (aubio_silence_detection(myvec(),silence)): |
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| 93 | isonset=0 |
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| 94 | if localmin: |
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| 95 | if val > 0: ovalist.append(val) |
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| 96 | else: ovalist.append(0) |
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| 97 | ovalist.pop(0) |
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| 98 | if storefunc: |
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| 99 | ofunclist.append(val) |
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| 100 | if (isonset == 1): |
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| 101 | if localmin: |
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| 102 | i=len(ovalist)-1 |
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| 103 | # find local minima before peak |
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| 104 | while ovalist[i-1] < ovalist[i] and i > 0: |
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| 105 | i -= 1 |
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| 106 | now = (frameread+1-i) |
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| 107 | else: |
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| 108 | now = frameread |
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| 109 | if now > 0 : |
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| 110 | mylist.append(now) |
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| 111 | else: |
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| 112 | now = 0 |
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| 113 | mylist.append(now) |
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| 114 | frameread += 1 |
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| 115 | return mylist, ofunclist |
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| 116 | |
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| 117 | def cutfile(filein,slicetimes,zerothres=0.008,bufsize=1024,hopsize=512): |
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| 118 | frameread = 0 |
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| 119 | readsize = hopsize |
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| 120 | filei = sndfile(filein) |
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| 121 | framestep = hopsize/(filei.samplerate()+0.) |
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| 122 | channels = filei.channels() |
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| 123 | newname = "%s%s%09.5f%s%s" % (filein.split(".")[0].split("/")[-1],".", |
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| 124 | frameread*framestep,".",filein.split(".")[-1]) |
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| 125 | fileo = sndfile(newname,model=filei) |
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| 126 | myvec = fvec(hopsize,channels) |
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| 127 | mycopy = fvec(hopsize,channels) |
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| 128 | while(readsize==hopsize): |
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| 129 | readsize = filei.read(hopsize,myvec) |
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| 130 | # write to current file |
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| 131 | if len(slicetimes) and frameread >= slicetimes[0]: |
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| 132 | slicetimes.pop(0) |
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| 133 | # write up to 1st zero crossing |
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| 134 | zerocross = 0 |
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| 135 | while ( abs( myvec.get(zerocross,0) ) > zerothres ): |
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| 136 | zerocross += 1 |
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| 137 | writesize = fileo.write(zerocross,myvec) |
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| 138 | fromcross = 0 |
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| 139 | while (zerocross < readsize): |
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| 140 | for i in range(channels): |
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| 141 | mycopy.set(myvec.get(zerocross,i),fromcross,i) |
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| 142 | fromcross += 1 |
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| 143 | zerocross += 1 |
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| 144 | del fileo |
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| 145 | fileo = sndfile("%s%s%09.5f%s%s" % |
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| 146 | (filein.split(".")[0].split("/")[-1],".", |
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| 147 | frameread*framestep,".",filein.split(".")[-1]),model=filei) |
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| 148 | writesize = fileo.write(fromcross,mycopy) |
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| 149 | else: |
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| 150 | writesize = fileo.write(readsize,myvec) |
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| 151 | frameread += 1 |
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| 152 | del fileo |
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| 153 | |
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| 154 | |
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| 155 | def getsilences(filein,hopsize=512,silence=-70): |
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| 156 | frameread = 0 |
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| 157 | filei = sndfile(filein) |
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| 158 | srate = filei.samplerate() |
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| 159 | channels = filei.channels() |
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| 160 | myvec = fvec(hopsize,channels) |
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| 161 | readsize = filei.read(hopsize,myvec) |
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| 162 | mylist = [] |
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| 163 | wassilence = 0 |
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| 164 | while(readsize==hopsize): |
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| 165 | readsize = filei.read(hopsize,myvec) |
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| 166 | if (aubio_silence_detection(myvec(),silence)==1): |
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| 167 | if wassilence == 0: |
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| 168 | mylist.append(frameread) |
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| 169 | wassilence == 1 |
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| 170 | else: wassilence = 0 |
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| 171 | frameread += 1 |
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| 172 | return mylist |
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| 173 | |
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[0029638] | 174 | |
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[5e491b3b] | 175 | def getpitch(filein,mode=aubio_pitch_mcomb,bufsize=1024,hopsize=512,omode=aubio_pitchm_freq, |
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| 176 | samplerate=44100.,silence=-70): |
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| 177 | frameread = 0 |
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| 178 | filei = sndfile(filein) |
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| 179 | srate = filei.samplerate() |
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| 180 | channels = filei.channels() |
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| 181 | myvec = fvec(hopsize,channels) |
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| 182 | readsize = filei.read(hopsize,myvec) |
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| 183 | pitchdet = pitchdetection(mode=mode,bufsize=bufsize,hopsize=hopsize, |
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| 184 | channels=channels,samplerate=srate,omode=omode) |
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| 185 | mylist = [] |
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| 186 | while(readsize==hopsize): |
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| 187 | readsize = filei.read(hopsize,myvec) |
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| 188 | freq = pitchdet(myvec) |
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| 189 | #print "%.3f %.2f" % (now,freq) |
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| 190 | if (aubio_silence_detection(myvec(),silence)!=1): |
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| 191 | mylist.append(freq) |
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| 192 | else: |
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| 193 | mylist.append(-1.) |
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| 194 | frameread += 1 |
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| 195 | return mylist |
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| 196 | |
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[0029638] | 197 | |
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| 198 | class taskparams: |
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| 199 | """ default parameters for task classes """ |
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| 200 | def __init__(self,input=None,output=None): |
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| 201 | self.silence = -70 |
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| 202 | self.derivate = False |
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| 203 | self.localmin = False |
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| 204 | self.bufsize = 512 |
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| 205 | self.hopsize = 256 |
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| 206 | self.samplerate = 44100 |
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| 207 | self.tol = 0.05 |
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| 208 | self.step = float(self.hopsize)/float(self.samplerate) |
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| 209 | self.threshold = 0.1 |
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| 210 | self.mode = 'yin' |
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| 211 | self.omode = aubio_pitchm_freq |
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| 212 | |
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| 213 | class task(taskparams): |
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| 214 | def __init__(self,input,output=None,params=None): |
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| 215 | """ open the input file and initialize default argument """ |
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| 216 | if params == None: self.params = taskparams() |
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| 217 | else: self.params = params |
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| 218 | self.input = input |
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| 219 | self.filei = sndfile(self.input) |
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| 220 | self.srate = self.filei.samplerate() |
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| 221 | self.channels = self.filei.channels() |
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| 222 | self.output = output |
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| 223 | def compute_step(self): |
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| 224 | pass |
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| 225 | def compute_all(self): |
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| 226 | """ Compute data """ |
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| 227 | mylist = [] |
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| 228 | while(self.readsize==self.params.hopsize): |
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| 229 | mylist.append(self()) |
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| 230 | return mylist |
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| 231 | |
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| 232 | def eval(self,results): |
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| 233 | """ Eval data """ |
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| 234 | pass |
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| 235 | |
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| 236 | def plot(self): |
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| 237 | """ Plot data """ |
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| 238 | pass |
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| 239 | |
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| 240 | class taskpitch(task): |
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| 241 | #def __init__(self,input,output): |
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| 242 | # pass |
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| 243 | # task.__init__(self,input) |
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| 244 | # #taskparams.__init__(self) |
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| 245 | def __init__(self,input,params=None): |
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| 246 | task.__init__(self,input,params=params) |
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| 247 | self.myvec = fvec(self.params.hopsize,self.channels) |
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| 248 | self.frameread = 0 |
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| 249 | self.readsize = self.params.hopsize |
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| 250 | self.pitchdet = pitchdetection(mode=get_pitch_mode(self.params.mode), |
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| 251 | bufsize=self.params.bufsize, |
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| 252 | hopsize=self.params.hopsize, |
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| 253 | channels=self.channels, |
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| 254 | samplerate=self.srate, |
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| 255 | omode=self.params.omode) |
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| 256 | |
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| 257 | def __call__(self): |
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| 258 | self.readsize = self.filei.read(self.params.hopsize,self.myvec) |
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| 259 | freq = self.pitchdet(self.myvec) |
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| 260 | #print "%.3f %.2f" % (now,freq) |
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| 261 | self.frameread += 1 |
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| 262 | if (aubio_silence_detection(self.myvec(),self.params.silence)!=1): |
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| 263 | return freq |
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| 264 | else: |
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| 265 | return -1. |
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| 266 | |
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| 267 | def gettruth(self): |
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| 268 | return float(self.input.split('.')[-2]) |
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| 269 | |
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| 270 | |
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| 271 | def eval(self,results): |
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| 272 | from median import short_find |
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| 273 | self.truth = self.gettruth() |
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| 274 | num = 0 |
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| 275 | sum = 0 |
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| 276 | res = [] |
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| 277 | for i in results: |
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| 278 | if i == -1: pass |
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| 279 | else: |
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| 280 | res.append(i) |
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| 281 | sum += i |
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| 282 | num += 1 |
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| 283 | avg = aubio_freqtomidi(sum / float(num)) |
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| 284 | avgdist = self.truth - avg |
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| 285 | med = aubio_freqtomidi(short_find(res,len(res)/2)) |
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| 286 | meddist = self.truth - med |
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| 287 | return avgdist, meddist |
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| 288 | |
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| 289 | def plot(self): |
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| 290 | from aubio.gnuplot import plot_pitch |
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| 291 | plot_pitch(self.input, |
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| 292 | pitch, |
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| 293 | samplerate=samplerate, |
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| 294 | hopsize=self.params.hopsize, |
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| 295 | outplot=options.outplot) |
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| 296 | |
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| 297 | |
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| 298 | |
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