1 | from aubiowrapper import * |
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2 | |
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3 | class fvec: |
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4 | def __init__(self,size,chan): |
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5 | self.vec = new_fvec(size,chan) |
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6 | def __call__(self): |
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7 | return self.vec |
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8 | def __del__(self): |
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9 | del_fvec(self()) |
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10 | def get(self,pos,chan): |
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11 | return fvec_read_sample(self(),chan,pos) |
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12 | def set(self,value,pos,chan): |
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13 | return fvec_write_sample(self(),value,chan,pos) |
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14 | def channel(self,chan): |
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15 | return fvec_get_channel(self(),chan) |
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16 | def data(self): |
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17 | return fvec_get_data(self()) |
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18 | |
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19 | class cvec: |
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20 | def __init__(self,size,chan): |
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21 | self.vec = new_cvec(size,chan) |
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22 | def __call__(self): |
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23 | return self.vec |
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24 | def __del__(self): |
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25 | del_cvec(self()) |
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26 | def get(self,pos,chan): |
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27 | return fvec_read_sample(self(),chan,pos) |
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28 | |
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29 | class sndfile: |
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30 | def __init__(self,filename,model=None): |
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31 | if (model!=None): |
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32 | self.file = new_file_wo(model.file,filename) |
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33 | else: |
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34 | self.file = new_file_ro(filename) |
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35 | def __del__(self): |
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36 | del_file(self.file) |
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37 | def info(self): |
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38 | file_info(self.file) |
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39 | def samplerate(self): |
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40 | return aubio_file_samplerate(self.file) |
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41 | def channels(self): |
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42 | return aubio_file_channels(self.file) |
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43 | def read(self,nfram,vecread): |
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44 | return file_read(self.file,nfram,vecread()) |
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45 | def write(self,nfram,vecwrite): |
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46 | return file_write(self.file,nfram,vecwrite()) |
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47 | |
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48 | class pvoc: |
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49 | def __init__(self,buf,hop,chan): |
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50 | self.pv = new_aubio_pvoc(buf,hop,chan) |
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51 | def __del__(self): |
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52 | del_aubio_pvoc(self.pv) |
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53 | def do(self,tf,tc): |
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54 | aubio_pvoc_do(self.pv,tf(),tc()) |
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55 | def rdo(self,tc,tf): |
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56 | aubio_pvoc_rdo(self.pv,tc(),tf()) |
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57 | |
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58 | class onsetdetection: |
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59 | """ class for aubio_onsetdetection """ |
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60 | def __init__(self,type,buf,chan): |
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61 | self.od = new_aubio_onsetdetection(type,buf,chan) |
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62 | def do(self,tc,tf): |
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63 | aubio_onsetdetection(self.od,tc(),tf()) |
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64 | def __del__(self): |
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65 | aubio_onsetdetection_free(self.od) |
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66 | |
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67 | class peakpick: |
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68 | """ class for aubio_peakpicker """ |
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69 | def __init__(self,threshold=0.1): |
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70 | self.pp = new_aubio_peakpicker(threshold) |
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71 | def do(self,fv): |
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72 | return aubio_peakpick_pimrt(fv(),self.pp) |
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73 | def __del__(self): |
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74 | del_aubio_peakpicker(self.pp) |
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75 | |
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76 | class onsetpick: |
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77 | """ superclass for aubio_pvoc + aubio_onsetdetection + aubio_peakpicker """ |
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78 | def __init__(self,bufsize,hopsize,channels,myvec,threshold,mode='dual',derivate=False): |
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79 | self.myfft = cvec(bufsize,channels) |
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80 | self.pv = pvoc(bufsize,hopsize,channels) |
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81 | if mode in ['dual'] : |
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82 | self.myod = onsetdetection(hfc,bufsize,channels) |
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83 | self.myod2 = onsetdetection(complexdomain,bufsize,channels) |
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84 | self.myonset = fvec(1,channels) |
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85 | self.myonset2 = fvec(1,channels) |
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86 | else: |
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87 | self.myod = onsetdetection(mode,bufsize,channels) |
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88 | self.myonset = fvec(1,channels) |
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89 | self.mode = mode |
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90 | self.pp = peakpick(float(threshold)) |
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91 | self.derivate = derivate |
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92 | self.oldval = 0. |
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93 | |
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94 | def do(self,myvec): |
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95 | self.pv.do(myvec,self.myfft) |
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96 | self.myod.do(self.myfft,self.myonset) |
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97 | if self.mode == 'dual': |
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98 | self.myod2.do(self.myfft,self.myonset2) |
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99 | self.myonset.set(self.myonset.get(0,0)*self.myonset2.get(0,0),0,0) |
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100 | if self.derivate: |
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101 | val = self.myonset.get(0,0) |
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102 | dval = val - self.oldval |
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103 | self.oldval = val |
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104 | if dval > 0: self.myonset.set(dval,0,0) |
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105 | else: self.myonset.set(0.,0,0) |
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106 | return self.pp.do(self.myonset),self.myonset.get(0,0) |
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107 | |
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108 | def getonsets(filein,threshold=0.2,silence=-70.,bufsize=1024,hopsize=512, |
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109 | mode='dual',localmin=False,storefunc=False,derivate=False): |
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110 | frameread = 0 |
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111 | filei = sndfile(filein) |
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112 | channels = filei.channels() |
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113 | myvec = fvec(hopsize,channels) |
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114 | readsize = filei.read(hopsize,myvec) |
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115 | opick = onsetpick(bufsize,hopsize,channels,myvec,threshold, |
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116 | mode=mode,derivate=derivate) |
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117 | mylist = list() |
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118 | if localmin: |
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119 | ovalist = [0., 0., 0., 0., 0.] |
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120 | if storefunc: |
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121 | ofunclist = [] |
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122 | while(readsize): |
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123 | readsize = filei.read(hopsize,myvec) |
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124 | isonset,val = opick.do(myvec) |
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125 | if (aubio_silence_detection(myvec(),silence)): |
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126 | isonset=0 |
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127 | if localmin: |
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128 | if val > 0: ovalist.append(val) |
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129 | else: ovalist.append(0) |
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130 | ovalist.pop(0) |
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131 | if storefunc: |
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132 | ofunclist.append(val) |
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133 | if (isonset == 1): |
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134 | if localmin: |
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135 | i=len(ovalist)-1 |
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136 | # find local minima before peak |
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137 | while ovalist[i-1] < ovalist[i] and i > 0: |
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138 | i -= 1 |
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139 | now = (frameread+1-i) |
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140 | else: |
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141 | now = frameread |
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142 | if now > 0 : |
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143 | mylist.append(now) |
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144 | else: |
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145 | now = 0 |
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146 | mylist.append(now) |
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147 | frameread += 1 |
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148 | if storefunc: return mylist, ofunclist |
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149 | else: return mylist |
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150 | |
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151 | def cutfile(filein,slicetimes,zerothres=0.008,bufsize=1024,hopsize=512): |
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152 | frameread = 0 |
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153 | readsize = hopsize |
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154 | filei = sndfile(filein) |
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155 | framestep = hopsize/(filei.samplerate()+0.) |
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156 | channels = filei.channels() |
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157 | newname = "%s%f%s" % ("/tmp/",0.0000000,filein[-4:]) |
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158 | fileo = sndfile(newname,model=filei) |
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159 | myvec = fvec(hopsize,channels) |
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160 | mycopy = fvec(hopsize,channels) |
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161 | while(readsize==hopsize): |
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162 | readsize = filei.read(hopsize,myvec) |
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163 | # write to current file |
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164 | if len(slicetimes) and frameread >= slicetimes[0]: |
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165 | slicetimes.pop(0) |
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166 | # write up to 1st zero crossing |
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167 | zerocross = 0 |
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168 | while ( abs( myvec.get(zerocross,0) ) > zerothres ): |
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169 | zerocross += 1 |
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170 | writesize = fileo.write(zerocross,myvec) |
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171 | fromcross = 0 |
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172 | while (zerocross < readsize): |
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173 | for i in range(channels): |
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174 | mycopy.set(myvec.get(zerocross,i),fromcross,i) |
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175 | fromcross += 1 |
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176 | zerocross += 1 |
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177 | del fileo |
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178 | fileo = sndfile("%s%s%f%s%s" % |
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179 | (filein.split(".")[0].split("/")[-1],".", |
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180 | frameread*framestep,".",filein.split(".")[-1]),model=filei) |
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181 | writesize = fileo.write(fromcross,mycopy) |
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182 | else: |
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183 | writesize = fileo.write(readsize,myvec) |
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184 | frameread += 1 |
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185 | del fileo |
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186 | |
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187 | |
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188 | def getsilences(filein,hopsize=512,silence=-70): |
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189 | frameread = 0 |
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190 | filei = sndfile(filein) |
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191 | srate = filei.samplerate() |
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192 | channels = filei.channels() |
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193 | myvec = fvec(hopsize,channels) |
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194 | readsize = filei.read(hopsize,myvec) |
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195 | mylist = [] |
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196 | wassilence = 0 |
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197 | while(readsize==hopsize): |
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198 | readsize = filei.read(hopsize,myvec) |
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199 | if (aubio_silence_detection(myvec(),silence)==1): |
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200 | if wassilence == 0: |
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201 | mylist.append(frameread) |
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202 | wassilence == 1 |
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203 | else: wassilence = 0 |
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204 | frameread += 1 |
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205 | return mylist |
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206 | |
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207 | def getpitch(filein,mode=aubio_mcomb,bufsize=1024,hopsize=512,omode=aubio_freq, |
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208 | samplerate=44100.,silence=-70): |
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209 | frameread = 0 |
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210 | filei = sndfile(filein) |
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211 | srate = filei.samplerate() |
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212 | channels = filei.channels() |
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213 | myvec = fvec(hopsize,channels) |
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214 | readsize = filei.read(hopsize,myvec) |
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215 | pitchdet = pitchdetection(mode=mode,bufsize=bufsize,hopsize=hopsize, |
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216 | channels=channels,samplerate=srate,omode=omode) |
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217 | mylist = [] |
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218 | while(readsize==hopsize): |
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219 | readsize = filei.read(hopsize,myvec) |
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220 | freq = pitchdet(myvec) |
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221 | #print "%.3f %.2f" % (now,freq) |
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222 | if (aubio_silence_detection(myvec(),silence)!=1): |
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223 | mylist.append(freq) |
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224 | else: |
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225 | mylist.append(0) |
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226 | frameread += 1 |
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227 | return mylist |
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228 | |
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229 | class pitchdetection: |
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230 | def __init__(self,mode=aubio_mcomb,bufsize=2048,hopsize=1024, |
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231 | channels=1,samplerate=44100.,omode=aubio_freq): |
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232 | self.pitchp = new_aubio_pitchdetection(bufsize,hopsize,channels, |
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233 | samplerate,mode,omode) |
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234 | #self.filt = filter(srate,"adsgn") |
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235 | def __del__(self): |
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236 | del_aubio_pitchdetection(self.pitchp) |
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237 | def __call__(self,myvec): |
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238 | #self.filt(myvec) |
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239 | return aubio_pitchdetection(self.pitchp,myvec()) |
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240 | |
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241 | class filter: |
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242 | def __init__(self,srate,type=None): |
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243 | if (type=="adsgn"): |
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244 | self.filter = new_aubio_adsgn_filter(srate) |
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245 | def __del__(self): |
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246 | #del_aubio_filter(self.filter) |
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247 | pass |
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248 | def __call__(self,myvec): |
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249 | aubio_filter_do(self.filter,myvec()) |
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