init
Browse files- experiment_cache/cluster/meta_voice_se.expresso.style.csv +0 -0
- experiment_cache/cluster/pyannote_se.expresso.style.csv +2683 -0
- experiment_cache/cluster/w2v_bert_se.expresso.style.csv +0 -0
- experiment_cache/figure/2d.latent_space.meta_voice_se.expresso.speaker_id.png +3 -0
- experiment_cache/figure/2d.latent_space.meta_voice_se.expresso.style.png +3 -0
- experiment_cache/figure/2d.latent_space.meta_voice_se.voxceleb1-test-split.speaker_id.png +3 -0
- experiment_cache/figure/2d.latent_space.pyannote_se.expresso.speaker_id.png +3 -0
- experiment_cache/figure/2d.latent_space.pyannote_se.expresso.style.png +3 -0
- experiment_cache/figure/2d.latent_space.pyannote_se.voxceleb1-test-split.speaker_id.png +3 -0
- experiment_cache/figure/2d.latent_space.w2v_bert_se.expresso.speaker_id.png +3 -0
- experiment_cache/figure/2d.latent_space.w2v_bert_se.expresso.style.png +3 -0
- experiment_cache/figure/2d.latent_space.w2v_bert_se.voxceleb1-test-split.speaker_id.png +3 -0
- experiment_cache/tsne/meta_voice_se.expresso.style.npy +3 -0
- experiment_cache/tsne/pyannote_se.expresso.style.npy +3 -0
- experiment_cache/tsne/w2v_bert_se.expresso.style.npy +3 -0
- experiment_speaker_verification.py +86 -21
experiment_cache/cluster/meta_voice_se.expresso.style.csv
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experiment_cache/cluster/pyannote_se.expresso.style.csv
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
id,cluster,label.style
|
| 2 |
+
ex01_confused_00003,0,confused
|
| 3 |
+
ex01_confused_00004,0,confused
|
| 4 |
+
ex01_confused_00006,0,confused
|
| 5 |
+
ex01_confused_00009,0,confused
|
| 6 |
+
ex01_confused_00010,0,confused
|
| 7 |
+
ex01_confused_00018,0,confused
|
| 8 |
+
ex01_confused_00023,0,confused
|
| 9 |
+
ex01_confused_00031,0,confused
|
| 10 |
+
ex01_confused_00034,0,confused
|
| 11 |
+
ex01_confused_00035,0,confused
|
| 12 |
+
ex01_confused_00036,0,confused
|
| 13 |
+
ex01_confused_00045,0,confused
|
| 14 |
+
ex01_confused_00047,0,confused
|
| 15 |
+
ex01_confused_00048,0,confused
|
| 16 |
+
ex01_confused_00049,0,confused
|
| 17 |
+
ex01_confused_00058,0,confused
|
| 18 |
+
ex01_confused_00060,0,confused
|
| 19 |
+
ex01_confused_00063,0,confused
|
| 20 |
+
ex01_confused_00065,0,confused
|
| 21 |
+
ex01_confused_00073,0,confused
|
| 22 |
+
ex01_confused_00081,0,confused
|
| 23 |
+
ex01_confused_00083,0,confused
|
| 24 |
+
ex01_confused_00084,0,confused
|
| 25 |
+
ex01_confused_00086,0,confused
|
| 26 |
+
ex01_confused_00088,0,confused
|
| 27 |
+
ex01_confused_00093,0,confused
|
| 28 |
+
ex01_confused_00094,0,confused
|
| 29 |
+
ex01_confused_00097,0,confused
|
| 30 |
+
ex01_confused_00100,0,confused
|
| 31 |
+
ex01_confused_00105,0,confused
|
| 32 |
+
ex01_confused_00106,0,confused
|
| 33 |
+
ex01_confused_00131,0,confused
|
| 34 |
+
ex01_confused_00137,0,confused
|
| 35 |
+
ex01_confused_00138,0,confused
|
| 36 |
+
ex01_confused_00154,0,confused
|
| 37 |
+
ex01_confused_00157,0,confused
|
| 38 |
+
ex01_confused_00165,0,confused
|
| 39 |
+
ex01_confused_00178,0,confused
|
| 40 |
+
ex01_confused_00183,0,confused
|
| 41 |
+
ex01_confused_00185,0,confused
|
| 42 |
+
ex01_confused_00192,0,confused
|
| 43 |
+
ex01_confused_00196,0,confused
|
| 44 |
+
ex01_confused_00208,0,confused
|
| 45 |
+
ex01_confused_00241,0,confused
|
| 46 |
+
ex01_confused_00248,0,confused
|
| 47 |
+
ex01_confused_00262,0,confused
|
| 48 |
+
ex01_confused_00275,0,confused
|
| 49 |
+
ex01_confused_00277,0,confused
|
| 50 |
+
ex01_confused_00280,0,confused
|
| 51 |
+
ex01_confused_00287,0,confused
|
| 52 |
+
ex01_confused_00288,0,confused
|
| 53 |
+
ex01_confused_00294,0,confused
|
| 54 |
+
ex01_confused_00302,0,confused
|
| 55 |
+
ex01_confused_00303,0,confused
|
| 56 |
+
ex01_confused_00307,0,confused
|
| 57 |
+
ex01_confused_00308,0,confused
|
| 58 |
+
ex01_confused_00310,0,confused
|
| 59 |
+
ex01_confused_00311,0,confused
|
| 60 |
+
ex01_confused_00313,0,confused
|
| 61 |
+
ex01_confused_00315,0,confused
|
| 62 |
+
ex01_confused_00319,0,confused
|
| 63 |
+
ex01_confused_00321,0,confused
|
| 64 |
+
ex01_confused_00325,0,confused
|
| 65 |
+
ex01_confused_00336,0,confused
|
| 66 |
+
ex01_confused_00341,0,confused
|
| 67 |
+
ex01_confused_00346,0,confused
|
| 68 |
+
ex01_confused_00348,0,confused
|
| 69 |
+
ex01_confused_00349,0,confused
|
| 70 |
+
ex01_confused_00350,0,confused
|
| 71 |
+
ex01_confused_00359,0,confused
|
| 72 |
+
ex01_confused_00369,0,confused
|
| 73 |
+
ex01_confused_00371,0,confused
|
| 74 |
+
ex01_confused_00374,0,confused
|
| 75 |
+
ex01_confused_00377,0,confused
|
| 76 |
+
ex01_confused_00380,0,confused
|
| 77 |
+
ex01_default_00003,0,default
|
| 78 |
+
ex01_default_00004,0,default
|
| 79 |
+
ex01_default_00009,0,default
|
| 80 |
+
ex01_default_00035,0,default
|
| 81 |
+
ex01_default_00045,0,default
|
| 82 |
+
ex01_default_00048,0,default
|
| 83 |
+
ex01_default_00049,0,default
|
| 84 |
+
ex01_default_00052,0,default
|
| 85 |
+
ex01_default_00060,0,default
|
| 86 |
+
ex01_default_00063,0,default
|
| 87 |
+
ex01_default_00065,0,default
|
| 88 |
+
ex01_default_00081,0,default
|
| 89 |
+
ex01_default_00084,0,default
|
| 90 |
+
ex01_default_00093,0,default
|
| 91 |
+
ex01_default_00094,0,default
|
| 92 |
+
ex01_default_00097,0,default
|
| 93 |
+
ex01_default_00105,0,default
|
| 94 |
+
ex01_default_00106,0,default
|
| 95 |
+
ex01_default_00131,0,default
|
| 96 |
+
ex01_default_00132,0,default
|
| 97 |
+
ex01_default_00134,0,default
|
| 98 |
+
ex01_default_00137,0,default
|
| 99 |
+
ex01_default_00141,0,default
|
| 100 |
+
ex01_default_00143,0,default
|
| 101 |
+
ex01_default_00145,0,default
|
| 102 |
+
ex01_default_00149,0,default
|
| 103 |
+
ex01_default_00154,0,default
|
| 104 |
+
ex01_default_00157,0,default
|
| 105 |
+
ex01_default_00165,0,default
|
| 106 |
+
ex01_default_00171,0,default
|
| 107 |
+
ex01_default_00180,0,default
|
| 108 |
+
ex01_default_00183,0,default
|
| 109 |
+
ex01_default_00185,0,default
|
| 110 |
+
ex01_default_00192,0,default
|
| 111 |
+
ex01_default_00196,0,default
|
| 112 |
+
ex01_default_00197,0,default
|
| 113 |
+
ex01_default_00207,0,default
|
| 114 |
+
ex01_default_00213,0,default
|
| 115 |
+
ex01_default_00216,0,default
|
| 116 |
+
ex01_default_00219,0,default
|
| 117 |
+
ex01_default_00225,0,default
|
| 118 |
+
ex01_default_00226,0,default
|
| 119 |
+
ex01_default_00236,0,default
|
| 120 |
+
ex01_default_00241,0,default
|
| 121 |
+
ex01_default_00247,0,default
|
| 122 |
+
ex01_default_00248,0,default
|
| 123 |
+
ex01_default_00262,0,default
|
| 124 |
+
ex01_default_00263,0,default
|
| 125 |
+
ex01_default_00266,0,default
|
| 126 |
+
ex01_default_00275,0,default
|
| 127 |
+
ex01_default_00279,0,default
|
| 128 |
+
ex01_default_00280,0,default
|
| 129 |
+
ex01_default_00283,0,default
|
| 130 |
+
ex01_default_00287,0,default
|
| 131 |
+
ex01_default_00288,0,default
|
| 132 |
+
ex01_default_00293,0,default
|
| 133 |
+
ex01_default_00294,0,default
|
| 134 |
+
ex01_default_00297,0,default
|
| 135 |
+
ex01_default_00302,0,default
|
| 136 |
+
ex01_default_00303,0,default
|
| 137 |
+
ex01_default_00307,0,default
|
| 138 |
+
ex01_default_00308,0,default
|
| 139 |
+
ex01_default_00310,0,default
|
| 140 |
+
ex01_default_00311,0,default
|
| 141 |
+
ex01_default_00315,0,default
|
| 142 |
+
ex01_default_00319,0,default
|
| 143 |
+
ex01_default_00321,0,default
|
| 144 |
+
ex01_default_00325,0,default
|
| 145 |
+
ex01_default_00326,0,default
|
| 146 |
+
ex01_default_00332,0,default
|
| 147 |
+
ex01_default_00336,0,default
|
| 148 |
+
ex01_default_00340,0,default
|
| 149 |
+
ex01_default_00341,0,default
|
| 150 |
+
ex01_default_00342,0,default
|
| 151 |
+
ex01_default_00346,0,default
|
| 152 |
+
ex01_default_00347,0,default
|
| 153 |
+
ex01_default_00348,0,default
|
| 154 |
+
ex01_default_00349,0,default
|
| 155 |
+
ex01_default_00350,0,default
|
| 156 |
+
ex01_default_00355,0,default
|
| 157 |
+
ex01_default_00359,0,default
|
| 158 |
+
ex01_default_00371,0,default
|
| 159 |
+
ex01_default_00374,0,default
|
| 160 |
+
ex01_default_00377,0,default
|
| 161 |
+
ex01_default_00380,0,default
|
| 162 |
+
ex01_default_emphasis_00024,0,emphasis
|
| 163 |
+
ex01_default_emphasis_00058,0,emphasis
|
| 164 |
+
ex01_default_emphasis_00059,0,emphasis
|
| 165 |
+
ex01_default_emphasis_00063,0,emphasis
|
| 166 |
+
ex01_default_emphasis_00069,0,emphasis
|
| 167 |
+
ex01_default_emphasis_00070,0,emphasis
|
| 168 |
+
ex01_default_emphasis_00071,0,emphasis
|
| 169 |
+
ex01_default_emphasis_00072,0,emphasis
|
| 170 |
+
ex01_default_emphasis_00073,0,emphasis
|
| 171 |
+
ex01_default_emphasis_00074,0,emphasis
|
| 172 |
+
ex01_default_emphasis_00079,0,emphasis
|
| 173 |
+
ex01_default_emphasis_00086,0,emphasis
|
| 174 |
+
ex01_default_emphasis_00087,0,emphasis
|
| 175 |
+
ex01_default_emphasis_00088,0,emphasis
|
| 176 |
+
ex01_default_emphasis_00089,0,emphasis
|
| 177 |
+
ex01_default_emphasis_00090,0,emphasis
|
| 178 |
+
ex01_default_emphasis_00092,0,emphasis
|
| 179 |
+
ex01_default_emphasis_00095,0,emphasis
|
| 180 |
+
ex01_default_emphasis_00100,0,emphasis
|
| 181 |
+
ex01_default_emphasis_00102,0,emphasis
|
| 182 |
+
ex01_default_emphasis_00114,0,emphasis
|
| 183 |
+
ex01_default_emphasis_00115,0,emphasis
|
| 184 |
+
ex01_default_emphasis_00122,0,emphasis
|
| 185 |
+
ex01_default_emphasis_00130,0,emphasis
|
| 186 |
+
ex01_default_emphasis_00135,0,emphasis
|
| 187 |
+
ex01_default_emphasis_00149,0,emphasis
|
| 188 |
+
ex01_default_emphasis_00157,0,emphasis
|
| 189 |
+
ex01_default_emphasis_00174,0,emphasis
|
| 190 |
+
ex01_default_emphasis_00194,0,emphasis
|
| 191 |
+
ex01_default_emphasis_00195,0,emphasis
|
| 192 |
+
ex01_default_emphasis_00199,0,emphasis
|
| 193 |
+
ex01_default_emphasis_00200,0,emphasis
|
| 194 |
+
ex01_default_essentials_00030,0,essentials
|
| 195 |
+
ex01_default_essentials_00031,0,essentials
|
| 196 |
+
ex01_default_essentials_00032,0,essentials
|
| 197 |
+
ex01_default_essentials_00033,0,essentials
|
| 198 |
+
ex01_default_essentials_00034,0,essentials
|
| 199 |
+
ex01_default_essentials_00035,0,essentials
|
| 200 |
+
ex01_enunciated_00003,0,enunciated
|
| 201 |
+
ex01_enunciated_00004,0,enunciated
|
| 202 |
+
ex01_enunciated_00006,0,enunciated
|
| 203 |
+
ex01_enunciated_00009,0,enunciated
|
| 204 |
+
ex01_enunciated_00010,0,enunciated
|
| 205 |
+
ex01_enunciated_00018,0,enunciated
|
| 206 |
+
ex01_enunciated_00022,0,enunciated
|
| 207 |
+
ex01_enunciated_00023,0,enunciated
|
| 208 |
+
ex01_enunciated_00025,0,enunciated
|
| 209 |
+
ex01_enunciated_00026,0,enunciated
|
| 210 |
+
ex01_enunciated_00031,0,enunciated
|
| 211 |
+
ex01_enunciated_00033,0,enunciated
|
| 212 |
+
ex01_enunciated_00035,0,enunciated
|
| 213 |
+
ex01_enunciated_00036,0,enunciated
|
| 214 |
+
ex01_enunciated_00037,0,enunciated
|
| 215 |
+
ex01_enunciated_00042,0,enunciated
|
| 216 |
+
ex01_enunciated_00045,0,enunciated
|
| 217 |
+
ex01_enunciated_00046,0,enunciated
|
| 218 |
+
ex01_enunciated_00047,0,enunciated
|
| 219 |
+
ex01_enunciated_00048,0,enunciated
|
| 220 |
+
ex01_enunciated_00049,0,enunciated
|
| 221 |
+
ex01_enunciated_00052,0,enunciated
|
| 222 |
+
ex01_enunciated_00060,0,enunciated
|
| 223 |
+
ex01_enunciated_00061,0,enunciated
|
| 224 |
+
ex01_enunciated_00063,0,enunciated
|
| 225 |
+
ex01_enunciated_00065,0,enunciated
|
| 226 |
+
ex01_enunciated_00068,0,enunciated
|
| 227 |
+
ex01_enunciated_00070,0,enunciated
|
| 228 |
+
ex01_enunciated_00073,0,enunciated
|
| 229 |
+
ex01_enunciated_00078,0,enunciated
|
| 230 |
+
ex01_enunciated_00081,0,enunciated
|
| 231 |
+
ex01_enunciated_00082,0,enunciated
|
| 232 |
+
ex01_enunciated_00083,0,enunciated
|
| 233 |
+
ex01_enunciated_00084,0,enunciated
|
| 234 |
+
ex01_enunciated_00086,0,enunciated
|
| 235 |
+
ex01_enunciated_00088,0,enunciated
|
| 236 |
+
ex01_enunciated_00093,0,enunciated
|
| 237 |
+
ex01_enunciated_00094,0,enunciated
|
| 238 |
+
ex01_enunciated_00096,0,enunciated
|
| 239 |
+
ex01_enunciated_00097,0,enunciated
|
| 240 |
+
ex01_enunciated_00098,0,enunciated
|
| 241 |
+
ex01_enunciated_00100,0,enunciated
|
| 242 |
+
ex01_enunciated_00101,0,enunciated
|
| 243 |
+
ex01_enunciated_00102,0,enunciated
|
| 244 |
+
ex01_enunciated_00104,0,enunciated
|
| 245 |
+
ex01_enunciated_00105,0,enunciated
|
| 246 |
+
ex01_enunciated_00106,0,enunciated
|
| 247 |
+
ex01_enunciated_00107,0,enunciated
|
| 248 |
+
ex01_enunciated_00108,0,enunciated
|
| 249 |
+
ex01_enunciated_00109,0,enunciated
|
| 250 |
+
ex01_enunciated_00110,0,enunciated
|
| 251 |
+
ex01_enunciated_00113,0,enunciated
|
| 252 |
+
ex01_enunciated_00114,0,enunciated
|
| 253 |
+
ex01_enunciated_00116,0,enunciated
|
| 254 |
+
ex01_enunciated_00120,0,enunciated
|
| 255 |
+
ex01_enunciated_00122,0,enunciated
|
| 256 |
+
ex01_enunciated_00126,0,enunciated
|
| 257 |
+
ex01_enunciated_00129,0,enunciated
|
| 258 |
+
ex01_enunciated_00131,0,enunciated
|
| 259 |
+
ex01_enunciated_00132,0,enunciated
|
| 260 |
+
ex01_enunciated_00134,0,enunciated
|
| 261 |
+
ex01_enunciated_00137,0,enunciated
|
| 262 |
+
ex01_enunciated_00138,0,enunciated
|
| 263 |
+
ex01_enunciated_00139,0,enunciated
|
| 264 |
+
ex01_enunciated_00141,0,enunciated
|
| 265 |
+
ex01_enunciated_00143,0,enunciated
|
| 266 |
+
ex01_enunciated_00144,0,enunciated
|
| 267 |
+
ex01_enunciated_00145,0,enunciated
|
| 268 |
+
ex01_enunciated_00146,0,enunciated
|
| 269 |
+
ex01_enunciated_00147,0,enunciated
|
| 270 |
+
ex01_enunciated_00149,0,enunciated
|
| 271 |
+
ex01_enunciated_00151,0,enunciated
|
| 272 |
+
ex01_enunciated_00153,0,enunciated
|
| 273 |
+
ex01_enunciated_00154,0,enunciated
|
| 274 |
+
ex01_enunciated_00157,0,enunciated
|
| 275 |
+
ex01_enunciated_00161,0,enunciated
|
| 276 |
+
ex01_enunciated_00162,0,enunciated
|
| 277 |
+
ex01_enunciated_00163,0,enunciated
|
| 278 |
+
ex01_enunciated_00165,0,enunciated
|
| 279 |
+
ex01_enunciated_00167,0,enunciated
|
| 280 |
+
ex01_enunciated_00169,0,enunciated
|
| 281 |
+
ex01_enunciated_00170,0,enunciated
|
| 282 |
+
ex01_enunciated_00171,0,enunciated
|
| 283 |
+
ex01_enunciated_00172,0,enunciated
|
| 284 |
+
ex01_enunciated_00173,0,enunciated
|
| 285 |
+
ex01_enunciated_00174,0,enunciated
|
| 286 |
+
ex01_enunciated_00175,0,enunciated
|
| 287 |
+
ex01_enunciated_00178,0,enunciated
|
| 288 |
+
ex01_enunciated_00180,0,enunciated
|
| 289 |
+
ex01_enunciated_00183,0,enunciated
|
| 290 |
+
ex01_enunciated_00185,0,enunciated
|
| 291 |
+
ex01_enunciated_00189,0,enunciated
|
| 292 |
+
ex01_enunciated_00190,0,enunciated
|
| 293 |
+
ex01_enunciated_00191,0,enunciated
|
| 294 |
+
ex01_enunciated_00192,0,enunciated
|
| 295 |
+
ex01_enunciated_00193,0,enunciated
|
| 296 |
+
ex01_enunciated_00194,0,enunciated
|
| 297 |
+
ex01_enunciated_00196,0,enunciated
|
| 298 |
+
ex01_enunciated_00197,0,enunciated
|
| 299 |
+
ex01_enunciated_00202,0,enunciated
|
| 300 |
+
ex01_enunciated_00203,0,enunciated
|
| 301 |
+
ex01_enunciated_00207,0,enunciated
|
| 302 |
+
ex01_enunciated_00208,0,enunciated
|
| 303 |
+
ex01_enunciated_00213,0,enunciated
|
| 304 |
+
ex01_enunciated_00216,0,enunciated
|
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ex03_laughing_00070,0,laughing
|
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|
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ex03_laughing_00089,0,laughing
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ex03_laughing_00101,0,laughing
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|
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ex03_laughing_00106,0,laughing
|
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|
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|
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|
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ex03_laughing_00141,0,laughing
|
| 1800 |
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|
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|
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ex03_laughing_00167,0,laughing
|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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ex03_laughing_00242,0,laughing
|
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ex03_laughing_00244,0,laughing
|
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ex03_laughing_00248,0,laughing
|
| 1818 |
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|
| 1819 |
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ex03_laughing_00257,0,laughing
|
| 1820 |
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ex03_laughing_00282,0,laughing
|
| 1821 |
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ex03_laughing_00314,0,laughing
|
| 1822 |
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ex03_laughing_00320,0,laughing
|
| 1823 |
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ex03_laughing_00322,0,laughing
|
| 1824 |
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ex03_laughing_00328,0,laughing
|
| 1825 |
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ex03_laughing_00329,0,laughing
|
| 1826 |
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ex03_laughing_00331,0,laughing
|
| 1827 |
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ex03_laughing_00334,0,laughing
|
| 1828 |
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ex03_laughing_00345,0,laughing
|
| 1829 |
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ex03_laughing_00375,0,laughing
|
| 1830 |
+
ex03_sad_00009,0,sad
|
| 1831 |
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ex03_sad_00015,0,sad
|
| 1832 |
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|
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ex03_sad_00047,0,sad
|
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| 1835 |
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|
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|
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| 1838 |
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ex03_sad_00066,0,sad
|
| 1839 |
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ex03_sad_00069,0,sad
|
| 1840 |
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|
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ex03_sad_00080,0,sad
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ex03_sad_00084,0,sad
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ex03_sad_00088,0,sad
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ex03_sad_00089,0,sad
|
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ex03_sad_00092,0,sad
|
| 1848 |
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ex03_sad_00093,0,sad
|
| 1849 |
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ex03_sad_00095,0,sad
|
| 1850 |
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ex03_sad_00096,0,sad
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|
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ex03_sad_00101,0,sad
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ex03_sad_00103,0,sad
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ex03_sad_00104,0,sad
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ex03_sad_00105,0,sad
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ex03_sad_00107,0,sad
|
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ex03_sad_00108,0,sad
|
| 1858 |
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ex03_sad_00109,0,sad
|
| 1859 |
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ex03_sad_00111,0,sad
|
| 1860 |
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|
| 1861 |
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ex03_sad_00119,0,sad
|
| 1862 |
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ex03_sad_00122,0,sad
|
| 1863 |
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ex03_sad_00124,0,sad
|
| 1864 |
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ex03_sad_00128,0,sad
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| 1865 |
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ex03_sad_00129,0,sad
|
| 1866 |
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|
| 1867 |
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ex03_sad_00135,0,sad
|
| 1868 |
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ex03_sad_00139,0,sad
|
| 1869 |
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ex03_sad_00141,0,sad
|
| 1870 |
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|
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|
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ex03_sad_00147,0,sad
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ex03_sad_00151,0,sad
|
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|
| 1876 |
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|
| 1877 |
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|
| 1878 |
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ex03_sad_00167,0,sad
|
| 1879 |
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ex03_sad_00169,0,sad
|
| 1880 |
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ex03_sad_00172,0,sad
|
| 1881 |
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ex03_sad_00173,0,sad
|
| 1882 |
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ex03_sad_00176,0,sad
|
| 1883 |
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ex03_sad_00177,0,sad
|
| 1884 |
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ex03_sad_00180,0,sad
|
| 1885 |
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ex03_sad_00182,0,sad
|
| 1886 |
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ex03_sad_00183,0,sad
|
| 1887 |
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ex03_sad_00184,0,sad
|
| 1888 |
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ex03_sad_00186,0,sad
|
| 1889 |
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ex03_sad_00188,0,sad
|
| 1890 |
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ex03_sad_00189,0,sad
|
| 1891 |
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ex03_sad_00192,0,sad
|
| 1892 |
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ex03_sad_00193,0,sad
|
| 1893 |
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ex03_sad_00196,0,sad
|
| 1894 |
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ex03_sad_00197,0,sad
|
| 1895 |
+
ex03_sad_00200,0,sad
|
| 1896 |
+
ex03_sad_00202,0,sad
|
| 1897 |
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ex03_sad_00205,0,sad
|
| 1898 |
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ex03_sad_00208,0,sad
|
| 1899 |
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ex03_sad_00209,0,sad
|
| 1900 |
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ex03_sad_00211,0,sad
|
| 1901 |
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ex03_sad_00215,0,sad
|
| 1902 |
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ex03_sad_00221,0,sad
|
| 1903 |
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ex03_sad_00222,0,sad
|
| 1904 |
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ex03_sad_00223,0,sad
|
| 1905 |
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ex03_sad_00224,0,sad
|
| 1906 |
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ex03_sad_00226,0,sad
|
| 1907 |
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ex03_sad_00227,0,sad
|
| 1908 |
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ex03_sad_00231,0,sad
|
| 1909 |
+
ex03_sad_00233,0,sad
|
| 1910 |
+
ex03_sad_00234,0,sad
|
| 1911 |
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ex03_sad_00236,0,sad
|
| 1912 |
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ex03_sad_00242,0,sad
|
| 1913 |
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ex03_sad_00244,0,sad
|
| 1914 |
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ex03_sad_00245,0,sad
|
| 1915 |
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ex03_sad_00248,0,sad
|
| 1916 |
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ex03_sad_00253,0,sad
|
| 1917 |
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ex03_sad_00254,0,sad
|
| 1918 |
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ex03_sad_00257,0,sad
|
| 1919 |
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ex03_sad_00261,0,sad
|
| 1920 |
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ex03_sad_00265,0,sad
|
| 1921 |
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ex03_sad_00269,0,sad
|
| 1922 |
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ex03_sad_00270,0,sad
|
| 1923 |
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ex03_sad_00279,0,sad
|
| 1924 |
+
ex03_sad_00281,0,sad
|
| 1925 |
+
ex03_sad_00282,0,sad
|
| 1926 |
+
ex03_sad_00289,0,sad
|
| 1927 |
+
ex03_sad_00292,0,sad
|
| 1928 |
+
ex03_sad_00301,0,sad
|
| 1929 |
+
ex03_sad_00304,0,sad
|
| 1930 |
+
ex03_sad_00307,0,sad
|
| 1931 |
+
ex03_sad_00314,0,sad
|
| 1932 |
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ex03_sad_00317,0,sad
|
| 1933 |
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ex03_sad_00318,0,sad
|
| 1934 |
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ex03_sad_00320,0,sad
|
| 1935 |
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ex03_sad_00328,0,sad
|
| 1936 |
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ex03_sad_00329,0,sad
|
| 1937 |
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ex03_sad_00331,0,sad
|
| 1938 |
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ex03_sad_00332,0,sad
|
| 1939 |
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ex03_sad_00334,0,sad
|
| 1940 |
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|
| 1941 |
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ex03_sad_00344,0,sad
|
| 1942 |
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ex03_sad_00345,0,sad
|
| 1943 |
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ex03_sad_00347,0,sad
|
| 1944 |
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ex03_sad_00356,0,sad
|
| 1945 |
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ex03_sad_00359,0,sad
|
| 1946 |
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ex03_sad_00360,0,sad
|
| 1947 |
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ex03_sad_00369,0,sad
|
| 1948 |
+
ex03_sad_00375,0,sad
|
| 1949 |
+
ex03_sad_00380,0,sad
|
| 1950 |
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ex03_singing_00003,0,singing
|
| 1951 |
+
ex03_whisper_00001,1,whisper
|
| 1952 |
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ex03_whisper_00009,1,whisper
|
| 1953 |
+
ex03_whisper_00012,1,whisper
|
| 1954 |
+
ex03_whisper_00013,1,whisper
|
| 1955 |
+
ex03_whisper_00015,1,whisper
|
| 1956 |
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ex03_whisper_00016,1,whisper
|
| 1957 |
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ex03_whisper_00017,1,whisper
|
| 1958 |
+
ex03_whisper_00018,1,whisper
|
| 1959 |
+
ex03_whisper_00019,1,whisper
|
| 1960 |
+
ex03_whisper_00020,1,whisper
|
| 1961 |
+
ex03_whisper_00021,1,whisper
|
| 1962 |
+
ex03_whisper_00022,1,whisper
|
| 1963 |
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ex03_whisper_00024,1,whisper
|
| 1964 |
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ex03_whisper_00030,1,whisper
|
| 1965 |
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ex03_whisper_00031,1,whisper
|
| 1966 |
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ex03_whisper_00034,1,whisper
|
| 1967 |
+
ex03_whisper_00035,1,whisper
|
| 1968 |
+
ex03_whisper_00036,1,whisper
|
| 1969 |
+
ex03_whisper_00037,1,whisper
|
| 1970 |
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ex03_whisper_00038,1,whisper
|
| 1971 |
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ex03_whisper_00041,1,whisper
|
| 1972 |
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ex03_whisper_00047,1,whisper
|
| 1973 |
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ex03_whisper_00049,1,whisper
|
| 1974 |
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ex03_whisper_00052,1,whisper
|
| 1975 |
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ex03_whisper_00053,1,whisper
|
| 1976 |
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ex03_whisper_00057,1,whisper
|
| 1977 |
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ex03_whisper_00062,1,whisper
|
| 1978 |
+
ex03_whisper_00064,1,whisper
|
| 1979 |
+
ex03_whisper_00065,1,whisper
|
| 1980 |
+
ex03_whisper_00066,1,whisper
|
| 1981 |
+
ex03_whisper_00069,1,whisper
|
| 1982 |
+
ex03_whisper_00070,1,whisper
|
| 1983 |
+
ex03_whisper_00071,1,whisper
|
| 1984 |
+
ex03_whisper_00072,1,whisper
|
| 1985 |
+
ex03_whisper_00073,1,whisper
|
| 1986 |
+
ex03_whisper_00075,1,whisper
|
| 1987 |
+
ex03_whisper_00080,1,whisper
|
| 1988 |
+
ex03_whisper_00083,1,whisper
|
| 1989 |
+
ex03_whisper_00084,1,whisper
|
| 1990 |
+
ex03_whisper_00086,1,whisper
|
| 1991 |
+
ex03_whisper_00088,1,whisper
|
| 1992 |
+
ex03_whisper_00089,1,whisper
|
| 1993 |
+
ex03_whisper_00091,1,whisper
|
| 1994 |
+
ex03_whisper_00092,1,whisper
|
| 1995 |
+
ex03_whisper_00093,1,whisper
|
| 1996 |
+
ex03_whisper_00095,1,whisper
|
| 1997 |
+
ex03_whisper_00096,1,whisper
|
| 1998 |
+
ex03_whisper_00097,1,whisper
|
| 1999 |
+
ex03_whisper_00098,1,whisper
|
| 2000 |
+
ex03_whisper_00099,1,whisper
|
| 2001 |
+
ex03_whisper_00101,1,whisper
|
| 2002 |
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ex03_whisper_00103,1,whisper
|
| 2003 |
+
ex03_whisper_00105,1,whisper
|
| 2004 |
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ex03_whisper_00107,1,whisper
|
| 2005 |
+
ex03_whisper_00108,1,whisper
|
| 2006 |
+
ex03_whisper_00109,1,whisper
|
| 2007 |
+
ex03_whisper_00111,1,whisper
|
| 2008 |
+
ex03_whisper_00113,1,whisper
|
| 2009 |
+
ex03_whisper_00114,1,whisper
|
| 2010 |
+
ex03_whisper_00117,1,whisper
|
| 2011 |
+
ex03_whisper_00119,1,whisper
|
| 2012 |
+
ex03_whisper_00120,1,whisper
|
| 2013 |
+
ex03_whisper_00122,1,whisper
|
| 2014 |
+
ex03_whisper_00123,1,whisper
|
| 2015 |
+
ex03_whisper_00124,1,whisper
|
| 2016 |
+
ex03_whisper_00126,1,whisper
|
| 2017 |
+
ex03_whisper_00127,1,whisper
|
| 2018 |
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ex03_whisper_00128,1,whisper
|
| 2019 |
+
ex03_whisper_00129,1,whisper
|
| 2020 |
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ex03_whisper_00133,1,whisper
|
| 2021 |
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ex03_whisper_00134,1,whisper
|
| 2022 |
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ex03_whisper_00135,1,whisper
|
| 2023 |
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ex03_whisper_00139,1,whisper
|
| 2024 |
+
ex03_whisper_00141,1,whisper
|
| 2025 |
+
ex03_whisper_00145,1,whisper
|
| 2026 |
+
ex03_whisper_00146,1,whisper
|
| 2027 |
+
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|
| 2028 |
+
ex03_whisper_00148,1,whisper
|
| 2029 |
+
ex03_whisper_00150,1,whisper
|
| 2030 |
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ex03_whisper_00151,1,whisper
|
| 2031 |
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| 2032 |
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| 2033 |
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| 2034 |
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| 2035 |
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| 2036 |
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| 2037 |
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| 2038 |
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| 2039 |
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| 2040 |
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| 2041 |
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| 2042 |
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| 2043 |
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| 2049 |
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| 2050 |
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| 2060 |
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| 2061 |
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| 2062 |
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| 2063 |
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| 2064 |
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| 2065 |
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| 2066 |
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| 2067 |
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|
| 2068 |
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| 2069 |
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| 2070 |
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| 2071 |
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| 2072 |
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| 2073 |
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| 2074 |
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| 2075 |
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| 2076 |
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| 2077 |
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ex03_whisper_00236,1,whisper
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| 2078 |
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ex03_whisper_00239,1,whisper
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| 2079 |
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ex03_whisper_00241,1,whisper
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| 2080 |
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ex03_whisper_00242,1,whisper
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| 2081 |
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ex03_whisper_00243,1,whisper
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| 2082 |
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ex03_whisper_00244,1,whisper
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| 2083 |
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ex03_whisper_00245,1,whisper
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| 2084 |
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ex03_whisper_00248,1,whisper
|
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| 2662 |
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ex04_whisper_00343,1,whisper
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ex04_whisper_00344,1,whisper
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ex04_whisper_00345,1,whisper
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ex04_whisper_00348,1,whisper
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ex04_whisper_00350,1,whisper
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+
ex04_whisper_00351,1,whisper
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+
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+
ex04_whisper_00363,1,whisper
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+
ex04_whisper_00364,1,whisper
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+
ex04_whisper_00365,1,whisper
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+
ex04_whisper_00368,1,whisper
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ex04_whisper_00369,1,whisper
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| 2677 |
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ex04_whisper_00370,1,whisper
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| 2678 |
+
ex04_whisper_00371,1,whisper
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+
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+
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+
ex04_whisper_00376,1,whisper
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ex04_whisper_00377,1,whisper
|
| 2683 |
+
ex04_whisper_00380,1,whisper
|
experiment_cache/cluster/w2v_bert_se.expresso.style.csv
ADDED
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The diff for this file is too large to render.
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|
|
|
experiment_cache/figure/2d.latent_space.meta_voice_se.expresso.speaker_id.png
ADDED
|
Git LFS Details
|
experiment_cache/figure/2d.latent_space.meta_voice_se.expresso.style.png
ADDED
|
Git LFS Details
|
experiment_cache/figure/2d.latent_space.meta_voice_se.voxceleb1-test-split.speaker_id.png
ADDED
|
Git LFS Details
|
experiment_cache/figure/2d.latent_space.pyannote_se.expresso.speaker_id.png
ADDED
|
Git LFS Details
|
experiment_cache/figure/2d.latent_space.pyannote_se.expresso.style.png
ADDED
|
Git LFS Details
|
experiment_cache/figure/2d.latent_space.pyannote_se.voxceleb1-test-split.speaker_id.png
ADDED
|
Git LFS Details
|
experiment_cache/figure/2d.latent_space.w2v_bert_se.expresso.speaker_id.png
ADDED
|
Git LFS Details
|
experiment_cache/figure/2d.latent_space.w2v_bert_se.expresso.style.png
ADDED
|
Git LFS Details
|
experiment_cache/figure/2d.latent_space.w2v_bert_se.voxceleb1-test-split.speaker_id.png
ADDED
|
Git LFS Details
|
experiment_cache/tsne/meta_voice_se.expresso.style.npy
ADDED
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@@ -0,0 +1,3 @@
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|
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+
version https://git-lfs.github.com/spec/v1
|
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+
oid sha256:e590edbf2759506dcf030e6f5c7eaaadee8e6d578308102fbf4d90a35b060c72
|
| 3 |
+
size 93048
|
experiment_cache/tsne/pyannote_se.expresso.style.npy
ADDED
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@@ -0,0 +1,3 @@
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+
version https://git-lfs.github.com/spec/v1
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oid sha256:148b989db7051279297b659f00fa825117039b370810a566fbafe8c550d25114
|
| 3 |
+
size 93048
|
experiment_cache/tsne/w2v_bert_se.expresso.style.npy
ADDED
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@@ -0,0 +1,3 @@
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| 1 |
+
version https://git-lfs.github.com/spec/v1
|
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oid sha256:600c2be510bb6044ab2d38a87a88ac64224d832f622b0bc8647e5c07ff2c03de
|
| 3 |
+
size 93048
|
experiment_speaker_verification.py
CHANGED
|
@@ -3,6 +3,15 @@ import os
|
|
| 3 |
from os.path import join as p_join
|
| 4 |
from tqdm import tqdm
|
| 5 |
from time import time
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| 6 |
from datasets import load_dataset
|
| 7 |
|
| 8 |
from model_meta_voice import MetaVoiceSE
|
|
@@ -34,37 +43,93 @@ def get_embedding(model_class, model_name: str, dataset_name: str, data_split: s
|
|
| 34 |
f.write("\n".join([json.dumps(i) for i in embeddings]))
|
| 35 |
|
| 36 |
|
| 37 |
-
def
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|
|
|
| 38 |
file_path = p_join("experiment_cache", "embeddings", f"{model_name}.{os.path.basename(dataset_name)}.json")
|
| 39 |
assert os.path.exists(file_path)
|
| 40 |
with open(file_path) as f:
|
| 41 |
embeddings = [json.loads(i) for i in f.readlines()]
|
| 42 |
-
|
| 43 |
-
|
| 44 |
-
|
| 45 |
-
|
| 46 |
-
v = model.get_speaker_embedding(i["audio"]["array"], i["audio"]["sampling_rate"])
|
| 47 |
-
tmp = {
|
| 48 |
-
"model": model_name,
|
| 49 |
-
"embedding": v.tolist(),
|
| 50 |
-
"sampling_rate": i["audio"]["sampling_rate"],
|
| 51 |
-
"process_time": time() - start,
|
| 52 |
-
"dataset_name": os.path.basename(dataset_name)
|
| 53 |
-
}
|
| 54 |
-
tmp.update({k: v for k, v in i.items() if k != "audio"})
|
| 55 |
-
embeddings.append(tmp)
|
| 56 |
-
with open(file_path, "w") as f:
|
| 57 |
-
f.write("\n".join([json.dumps(i) for i in embeddings]))
|
| 58 |
|
| 59 |
|
| 60 |
if __name__ == '__main__':
|
| 61 |
# cache embedding
|
| 62 |
-
get_embedding(MetaVoiceSE, "meta_voice_se", "asahi417/voxceleb1-test-split", "test")
|
| 63 |
# get_embedding(PyannoteSE, "pyannote_se", "asahi417/voxceleb1-test-split", "test")
|
| 64 |
-
get_embedding(W2VBertSE, "w2v_bert_se", "asahi417/voxceleb1-test-split", "test")
|
| 65 |
-
get_embedding(MetaVoiceSE, "meta_voice_se", "ylacombe/expresso", "train")
|
| 66 |
# get_embedding(PyannoteSE, "pyannote_se", "ylacombe/expresso", "train")
|
| 67 |
-
get_embedding(W2VBertSE, "w2v_bert_se", "ylacombe/expresso", "train")
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 68 |
|
| 69 |
|
| 70 |
|
|
|
|
| 3 |
from os.path import join as p_join
|
| 4 |
from tqdm import tqdm
|
| 5 |
from time import time
|
| 6 |
+
|
| 7 |
+
import hdbscan
|
| 8 |
+
import numpy as np
|
| 9 |
+
import matplotlib.pyplot as plt
|
| 10 |
+
import seaborn as sns
|
| 11 |
+
from sklearn.manifold import TSNE
|
| 12 |
+
|
| 13 |
+
|
| 14 |
+
import pandas as pd
|
| 15 |
from datasets import load_dataset
|
| 16 |
|
| 17 |
from model_meta_voice import MetaVoiceSE
|
|
|
|
| 43 |
f.write("\n".join([json.dumps(i) for i in embeddings]))
|
| 44 |
|
| 45 |
|
| 46 |
+
def cluster_embedding(model_name, dataset_name, label_name: str):
|
| 47 |
+
file_path_embedding = p_join("experiment_cache", "embeddings", f"{model_name}.{os.path.basename(dataset_name)}.json")
|
| 48 |
+
file_path_cluster = p_join("experiment_cache", "cluster", f"{model_name}.{os.path.basename(dataset_name)}.{label_name}.csv")
|
| 49 |
+
if not os.path.exists(file_path_cluster):
|
| 50 |
+
print('CLUSTERING')
|
| 51 |
+
os.makedirs(os.path.dirname(file_path_cluster), exist_ok=True)
|
| 52 |
+
assert os.path.exists(file_path_embedding)
|
| 53 |
+
with open(file_path_embedding) as f:
|
| 54 |
+
data = [json.loads(i) for i in f.readlines()]
|
| 55 |
+
clusterer = hdbscan.HDBSCAN()
|
| 56 |
+
embeddings = [i["embedding"] for i in data]
|
| 57 |
+
keys = [i["id"] for i in data]
|
| 58 |
+
clusterer.fit(np.stack(embeddings)) # data x dimension
|
| 59 |
+
print(f'{clusterer.labels_.max()} clusters found from {len(data)} data points')
|
| 60 |
+
print(f"generating report for {label_name}")
|
| 61 |
+
label = [i[label_name] for i in data]
|
| 62 |
+
cluster_info = [
|
| 63 |
+
{"id": k, "cluster": c, f"label.{label_name}": l} for c, k, l in zip(clusterer.labels_, keys, label) if c != -1
|
| 64 |
+
]
|
| 65 |
+
cluster_df = pd.DataFrame(cluster_info)
|
| 66 |
+
cluster_df.to_csv(file_path_cluster, index=False)
|
| 67 |
+
# cluster_df = pd.read_csv(file_path_cluster)
|
| 68 |
+
|
| 69 |
+
file_path_tsne = p_join("experiment_cache", "tsne", f"{model_name}.{os.path.basename(dataset_name)}.{label_name}.npy")
|
| 70 |
+
if not os.path.exists(file_path_tsne):
|
| 71 |
+
os.makedirs(os.path.dirname(file_path_tsne), exist_ok=True)
|
| 72 |
+
print('DIMENSION REDUCTION')
|
| 73 |
+
assert os.path.exists(file_path_embedding)
|
| 74 |
+
with open(file_path_embedding) as f:
|
| 75 |
+
data = np.stack([json.loads(i)['embedding'] for i in f.readlines()]) # data x dimension
|
| 76 |
+
print(f'Dimension reduction: {data.shape}')
|
| 77 |
+
embedding_2d = TSNE(n_components=2, random_state=0).fit_transform(data)
|
| 78 |
+
np.save(file_path_tsne, embedding_2d)
|
| 79 |
+
embedding_2d = np.load(file_path_tsne)
|
| 80 |
+
|
| 81 |
+
print('PLOT')
|
| 82 |
+
figure_path = p_join("experiment_cache", "figure", f"2d.latent_space.{model_name}.{os.path.basename(dataset_name)}.{label_name}.png")
|
| 83 |
+
os.makedirs(os.path.dirname(figure_path), exist_ok=True)
|
| 84 |
+
with open(file_path_embedding) as f:
|
| 85 |
+
label = np.stack([json.loads(i)[label_name] for i in f.readlines()]) # data x dimension
|
| 86 |
+
label_type = sorted(list(set(label)))
|
| 87 |
+
label2id = {v: n for n, v in enumerate(label_type)}
|
| 88 |
+
plt.figure()
|
| 89 |
+
scatter = plt.scatter(
|
| 90 |
+
embedding_2d[:, 0],
|
| 91 |
+
embedding_2d[:, 1],
|
| 92 |
+
s=8,
|
| 93 |
+
c=[label2id[i] for i in label],
|
| 94 |
+
cmap=sns.color_palette('Spectral', len(label_type), as_cmap=True)
|
| 95 |
+
)
|
| 96 |
+
plt.gca().set_aspect('equal', 'datalim')
|
| 97 |
+
plt.legend(handles=scatter.legend_elements(num=len(label_type))[0],
|
| 98 |
+
labels=label_type,
|
| 99 |
+
bbox_to_anchor=(1.05, 1),
|
| 100 |
+
borderaxespad=0,
|
| 101 |
+
loc='lower left',
|
| 102 |
+
ncol=3 if len(label2id) > 12 else 1)
|
| 103 |
+
plt.savefig(figure_path, bbox_inches='tight', dpi=600)
|
| 104 |
+
|
| 105 |
+
def analyze_embedding(model_name: str, dataset_name: str, n_shot: int = 5, n_cross_validation: int = 5):
|
| 106 |
file_path = p_join("experiment_cache", "embeddings", f"{model_name}.{os.path.basename(dataset_name)}.json")
|
| 107 |
assert os.path.exists(file_path)
|
| 108 |
with open(file_path) as f:
|
| 109 |
embeddings = [json.loads(i) for i in f.readlines()]
|
| 110 |
+
df = pd.DataFrame(embeddings)
|
| 111 |
+
process_time = df["process_time"].mean()
|
| 112 |
+
df.groupby("speaker_ido")
|
| 113 |
+
sorted(df["speaker_id"].unique())
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 114 |
|
| 115 |
|
| 116 |
if __name__ == '__main__':
|
| 117 |
# cache embedding
|
| 118 |
+
# get_embedding(MetaVoiceSE, "meta_voice_se", "asahi417/voxceleb1-test-split", "test")
|
| 119 |
# get_embedding(PyannoteSE, "pyannote_se", "asahi417/voxceleb1-test-split", "test")
|
| 120 |
+
# get_embedding(W2VBertSE, "w2v_bert_se", "asahi417/voxceleb1-test-split", "test")
|
| 121 |
+
# get_embedding(MetaVoiceSE, "meta_voice_se", "ylacombe/expresso", "train")
|
| 122 |
# get_embedding(PyannoteSE, "pyannote_se", "ylacombe/expresso", "train")
|
| 123 |
+
# get_embedding(W2VBertSE, "w2v_bert_se", "ylacombe/expresso", "train")
|
| 124 |
+
cluster_embedding("meta_voice_se", "asahi417/voxceleb1-test-split", "speaker_id")
|
| 125 |
+
cluster_embedding("pyannote_se", "asahi417/voxceleb1-test-split", "speaker_id")
|
| 126 |
+
cluster_embedding("w2v_bert_se", "asahi417/voxceleb1-test-split", "speaker_id")
|
| 127 |
+
cluster_embedding("meta_voice_se", "ylacombe/expresso", "speaker_id")
|
| 128 |
+
cluster_embedding("pyannote_se", "ylacombe/expresso", "speaker_id")
|
| 129 |
+
cluster_embedding("w2v_bert_se", "ylacombe/expresso", "speaker_id")
|
| 130 |
+
cluster_embedding("meta_voice_se", "ylacombe/expresso", "style")
|
| 131 |
+
cluster_embedding("pyannote_se", "ylacombe/expresso", "style")
|
| 132 |
+
cluster_embedding("w2v_bert_se", "ylacombe/expresso", "style")
|
| 133 |
|
| 134 |
|
| 135 |
|