Newer
Older
"source": [
"# Aggregate MFCC Features\n",
"\n",
"Aggregate from n rows par file to 1 (calculate min, max, etc. for each feature)."
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"import pandas as pd\n",
"from definitions import BASE_PATH"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"tags": [
"parameters"
]
},
"outputs": [],
"source": [
"INPUT_PATH = BASE_PATH / \"tmp\" / \"3_aggregate_features\" / \"input\"\n",
"OUTPUT_PATH = BASE_PATH / \"tmp\" / \"3_aggregate_features\" / \"output\"\n",
"\n",
"INPUT_PATHS: dict[str, str] = {\n",
" \"raw_features\": (INPUT_PATH / \"raw_features.csv\").__str__()\n",
"}\n",
"\n",
"OUTPUT_PATHS: dict[str, str] = {\n",
" \"features\": (OUTPUT_PATH / \"features.csv\").__str__()\n",
"}"
]
},
{
"cell_type": "code",
"execution_count": 2,
"outputs": [],
"source": [
"# inputs\n",
"assert INPUT_PATH.exists() and INPUT_PATH.is_dir()\n",
"\n",
"raw_features = pd.read_csv(INPUT_PATH / \"raw_features.csv\", index_col=False)"
},
{
"cell_type": "code",
"execution_count": 24,
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370
371
372
373
374
375
376
377
378
379
380
381
382
383
384
385
386
387
388
389
390
391
392
393
394
395
396
397
398
399
400
401
402
403
404
405
406
407
408
409
410
411
412
413
414
415
416
417
418
419
420
421
422
423
424
425
426
427
428
429
430
431
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>filename</th>\n",
" <th>label</th>\n",
" <th>0_min</th>\n",
" <th>0_max</th>\n",
" <th>0_mean</th>\n",
" <th>0_std</th>\n",
" <th>0_skew</th>\n",
" <th>1_min</th>\n",
" <th>1_max</th>\n",
" <th>1_mean</th>\n",
" <th>...</th>\n",
" <th>38_min</th>\n",
" <th>38_max</th>\n",
" <th>38_mean</th>\n",
" <th>38_std</th>\n",
" <th>38_skew</th>\n",
" <th>39_min</th>\n",
" <th>39_max</th>\n",
" <th>39_mean</th>\n",
" <th>39_std</th>\n",
" <th>39_skew</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>classical_1.mp3</td>\n",
" <td>classical</td>\n",
" <td>-530.78436</td>\n",
" <td>-163.308350</td>\n",
" <td>-302.203167</td>\n",
" <td>51.142183</td>\n",
" <td>-0.468374</td>\n",
" <td>0.000000</td>\n",
" <td>178.75162</td>\n",
" <td>111.332342</td>\n",
" <td>...</td>\n",
" <td>-44.098070</td>\n",
" <td>47.308060</td>\n",
" <td>-3.713503</td>\n",
" <td>16.553984</td>\n",
" <td>0.230691</td>\n",
" <td>-46.794480</td>\n",
" <td>49.352516</td>\n",
" <td>-2.282116</td>\n",
" <td>15.285639</td>\n",
" <td>0.171462</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>classical_10.mp3</td>\n",
" <td>classical</td>\n",
" <td>-562.85785</td>\n",
" <td>-96.164795</td>\n",
" <td>-219.259016</td>\n",
" <td>53.561838</td>\n",
" <td>-0.772320</td>\n",
" <td>0.029056</td>\n",
" <td>259.63270</td>\n",
" <td>215.094182</td>\n",
" <td>...</td>\n",
" <td>-27.458416</td>\n",
" <td>29.811110</td>\n",
" <td>0.484271</td>\n",
" <td>8.660648</td>\n",
" <td>-0.479016</td>\n",
" <td>-28.989983</td>\n",
" <td>27.533710</td>\n",
" <td>0.952658</td>\n",
" <td>10.477735</td>\n",
" <td>-0.185771</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>classical_100.mp3</td>\n",
" <td>classical</td>\n",
" <td>-536.23737</td>\n",
" <td>-61.608826</td>\n",
" <td>-177.804114</td>\n",
" <td>83.381622</td>\n",
" <td>-2.587179</td>\n",
" <td>0.000000</td>\n",
" <td>190.47589</td>\n",
" <td>112.471713</td>\n",
" <td>...</td>\n",
" <td>-27.335688</td>\n",
" <td>27.610388</td>\n",
" <td>-0.333233</td>\n",
" <td>8.185075</td>\n",
" <td>0.208425</td>\n",
" <td>-38.095375</td>\n",
" <td>31.397880</td>\n",
" <td>-1.494916</td>\n",
" <td>10.917299</td>\n",
" <td>0.020985</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>classical_11.mp3</td>\n",
" <td>classical</td>\n",
" <td>-536.45746</td>\n",
" <td>-120.429665</td>\n",
" <td>-222.126303</td>\n",
" <td>76.246992</td>\n",
" <td>-2.402418</td>\n",
" <td>0.000000</td>\n",
" <td>159.42575</td>\n",
" <td>99.853645</td>\n",
" <td>...</td>\n",
" <td>-31.774948</td>\n",
" <td>31.500881</td>\n",
" <td>-3.781627</td>\n",
" <td>9.191043</td>\n",
" <td>0.260886</td>\n",
" <td>-22.667440</td>\n",
" <td>50.992897</td>\n",
" <td>1.600777</td>\n",
" <td>10.125545</td>\n",
" <td>0.595763</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>classical_12.mp3</td>\n",
" <td>classical</td>\n",
" <td>-562.67523</td>\n",
" <td>-148.133560</td>\n",
" <td>-270.975406</td>\n",
" <td>52.191182</td>\n",
" <td>-0.366586</td>\n",
" <td>0.000000</td>\n",
" <td>194.26416</td>\n",
" <td>148.226647</td>\n",
" <td>...</td>\n",
" <td>-44.843810</td>\n",
" <td>28.490644</td>\n",
" <td>-6.242015</td>\n",
" <td>10.546545</td>\n",
" <td>0.341848</td>\n",
" <td>-25.040888</td>\n",
" <td>46.878204</td>\n",
" <td>1.844494</td>\n",
" <td>11.160392</td>\n",
" <td>0.503120</td>\n",
" </tr>\n",
" <tr>\n",
" <th>...</th>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>395</th>\n",
" <td>rock_95.mp3</td>\n",
" <td>rock</td>\n",
" <td>-553.11010</td>\n",
" <td>-5.218835</td>\n",
" <td>-193.506047</td>\n",
" <td>76.869437</td>\n",
" <td>-0.201055</td>\n",
" <td>-89.948746</td>\n",
" <td>201.18045</td>\n",
" <td>111.724191</td>\n",
" <td>...</td>\n",
" <td>-27.043941</td>\n",
" <td>22.451445</td>\n",
" <td>-7.234634</td>\n",
" <td>8.471853</td>\n",
" <td>0.753855</td>\n",
" <td>-24.712723</td>\n",
" <td>23.410387</td>\n",
" <td>-4.502398</td>\n",
" <td>6.687984</td>\n",
" <td>0.238807</td>\n",
" </tr>\n",
" <tr>\n",
" <th>396</th>\n",
" <td>rock_96.mp3</td>\n",
" <td>rock</td>\n",
" <td>-541.23600</td>\n",
" <td>27.163334</td>\n",
" <td>-119.113996</td>\n",
" <td>58.420684</td>\n",
" <td>-0.957699</td>\n",
" <td>-7.415961</td>\n",
" <td>210.49246</td>\n",
" <td>125.453699</td>\n",
" <td>...</td>\n",
" <td>-37.584858</td>\n",
" <td>28.087936</td>\n",
" <td>-9.704238</td>\n",
" <td>8.447620</td>\n",
" <td>0.112760</td>\n",
" <td>-38.147890</td>\n",
" <td>21.814402</td>\n",
" <td>-8.249507</td>\n",
" <td>7.807756</td>\n",
" <td>0.071968</td>\n",
" </tr>\n",
" <tr>\n",
" <th>397</th>\n",
" <td>rock_97.mp3</td>\n",
" <td>rock</td>\n",
" <td>-518.49500</td>\n",
" <td>58.526745</td>\n",
" <td>-66.267744</td>\n",
" <td>65.635619</td>\n",
" <td>-0.898026</td>\n",
" <td>-58.824410</td>\n",
" <td>175.20135</td>\n",
" <td>99.288265</td>\n",
" <td>...</td>\n",
" <td>-29.620445</td>\n",
" <td>26.325895</td>\n",
" <td>-5.722825</td>\n",
" <td>7.727378</td>\n",
" <td>0.207489</td>\n",
" <td>-29.497524</td>\n",
" <td>25.410654</td>\n",
" <td>-3.356614</td>\n",
" <td>8.170526</td>\n",
" <td>0.160330</td>\n",
" </tr>\n",
" <tr>\n",
" <th>398</th>\n",
" <td>rock_98.mp3</td>\n",
" <td>rock</td>\n",
" <td>-518.64307</td>\n",
" <td>53.555115</td>\n",
" <td>-45.734517</td>\n",
" <td>52.444200</td>\n",
" <td>-1.705641</td>\n",
" <td>0.000000</td>\n",
" <td>187.04274</td>\n",
" <td>96.440874</td>\n",
" <td>...</td>\n",
" <td>-26.967848</td>\n",
" <td>8.714737</td>\n",
" <td>-9.511491</td>\n",
" <td>5.551820</td>\n",
" <td>-0.025604</td>\n",
" <td>-23.020084</td>\n",
" <td>13.948638</td>\n",
" <td>-2.664985</td>\n",
" <td>5.051498</td>\n",
" <td>-0.258407</td>\n",
" </tr>\n",
" <tr>\n",
" <th>399</th>\n",
" <td>rock_99.mp3</td>\n",
" <td>rock</td>\n",
" <td>-544.70310</td>\n",
" <td>75.612130</td>\n",
" <td>-49.380943</td>\n",
" <td>54.045627</td>\n",
" <td>-0.863093</td>\n",
" <td>-32.930653</td>\n",
" <td>191.73538</td>\n",
" <td>93.971242</td>\n",
" <td>...</td>\n",
" <td>-21.929403</td>\n",
" <td>17.050608</td>\n",
" <td>-5.296691</td>\n",
" <td>5.894963</td>\n",
" <td>0.390705</td>\n",
" <td>-20.983192</td>\n",
" <td>29.312023</td>\n",
" <td>-0.321836</td>\n",
" <td>6.571660</td>\n",
" <td>0.384794</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"<p>400 rows × 202 columns</p>\n",
"</div>"
],
"text/plain": [
" filename label 0_min 0_max 0_mean \\\n",
"0 classical_1.mp3 classical -530.78436 -163.308350 -302.203167 \n",
"1 classical_10.mp3 classical -562.85785 -96.164795 -219.259016 \n",
"2 classical_100.mp3 classical -536.23737 -61.608826 -177.804114 \n",
"3 classical_11.mp3 classical -536.45746 -120.429665 -222.126303 \n",
"4 classical_12.mp3 classical -562.67523 -148.133560 -270.975406 \n",
".. ... ... ... ... ... \n",
"395 rock_95.mp3 rock -553.11010 -5.218835 -193.506047 \n",
"396 rock_96.mp3 rock -541.23600 27.163334 -119.113996 \n",
"397 rock_97.mp3 rock -518.49500 58.526745 -66.267744 \n",
"398 rock_98.mp3 rock -518.64307 53.555115 -45.734517 \n",
"399 rock_99.mp3 rock -544.70310 75.612130 -49.380943 \n",
"\n",
" 0_std 0_skew 1_min 1_max 1_mean ... 38_min \\\n",
"0 51.142183 -0.468374 0.000000 178.75162 111.332342 ... -44.098070 \n",
"1 53.561838 -0.772320 0.029056 259.63270 215.094182 ... -27.458416 \n",
"2 83.381622 -2.587179 0.000000 190.47589 112.471713 ... -27.335688 \n",
"3 76.246992 -2.402418 0.000000 159.42575 99.853645 ... -31.774948 \n",
"4 52.191182 -0.366586 0.000000 194.26416 148.226647 ... -44.843810 \n",
".. ... ... ... ... ... ... ... \n",
"395 76.869437 -0.201055 -89.948746 201.18045 111.724191 ... -27.043941 \n",
"396 58.420684 -0.957699 -7.415961 210.49246 125.453699 ... -37.584858 \n",
"397 65.635619 -0.898026 -58.824410 175.20135 99.288265 ... -29.620445 \n",
"398 52.444200 -1.705641 0.000000 187.04274 96.440874 ... -26.967848 \n",
"399 54.045627 -0.863093 -32.930653 191.73538 93.971242 ... -21.929403 \n",
"\n",
" 38_max 38_mean 38_std 38_skew 39_min 39_max 39_mean \\\n",
"0 47.308060 -3.713503 16.553984 0.230691 -46.794480 49.352516 -2.282116 \n",
"1 29.811110 0.484271 8.660648 -0.479016 -28.989983 27.533710 0.952658 \n",
"2 27.610388 -0.333233 8.185075 0.208425 -38.095375 31.397880 -1.494916 \n",
"3 31.500881 -3.781627 9.191043 0.260886 -22.667440 50.992897 1.600777 \n",
"4 28.490644 -6.242015 10.546545 0.341848 -25.040888 46.878204 1.844494 \n",
".. ... ... ... ... ... ... ... \n",
"395 22.451445 -7.234634 8.471853 0.753855 -24.712723 23.410387 -4.502398 \n",
"396 28.087936 -9.704238 8.447620 0.112760 -38.147890 21.814402 -8.249507 \n",
"397 26.325895 -5.722825 7.727378 0.207489 -29.497524 25.410654 -3.356614 \n",
"398 8.714737 -9.511491 5.551820 -0.025604 -23.020084 13.948638 -2.664985 \n",
"399 17.050608 -5.296691 5.894963 0.390705 -20.983192 29.312023 -0.321836 \n",
"\n",
" 39_std 39_skew \n",
"0 15.285639 0.171462 \n",
"1 10.477735 -0.185771 \n",
"2 10.917299 0.020985 \n",
"3 10.125545 0.595763 \n",
"4 11.160392 0.503120 \n",
".. ... ... \n",
"395 6.687984 0.238807 \n",
"396 7.807756 0.071968 \n",
"397 8.170526 0.160330 \n",
"398 5.051498 -0.258407 \n",
"399 6.571660 0.384794 \n",
"\n",
"[400 rows x 202 columns]"
]
},
"execution_count": 24,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"meta_columns = [\"sample\", \"filename\", \"label\"]\n",
"mfcc_aggregated = raw_features\\\n",
" .drop(meta_columns, axis=1, errors='ignore')\\\n",
" .groupby(raw_features.filename).agg(['min', 'max', 'mean', 'std', 'skew'])\n",
"\n",
"mfcc_meta = pd.DataFrame(raw_features['label'].groupby(raw_features.filename).last())\n",
"mfcc_meta.columns = pd.MultiIndex.from_arrays([['label'], ['']]) # needed for merge\n",
"mfcc_merged = pd.merge(mfcc_meta, mfcc_aggregated, left_index=True, right_index=True)\n",
"\n",
"# reduce multi index to single index\n",
"one_level_cols = ['_'.join([str(el) for el in col]) for col in mfcc_merged.columns[1:]]\n",
"one_level_cols.insert(0, \"label\")\n",
"\n",
"mfcc_merged.columns = pd.Index(one_level_cols)\n",
"mfcc_merged = mfcc_merged.reset_index()\n",
"mfcc_merged"
},
{
"cell_type": "code",
"execution_count": 25,
"outputs": [],
"source": [
"# outputs\n",
"OUTPUT_PATH.mkdir(parents=True, exist_ok=True)\n",
"\n",
"output.to_csv(OUTPUT_PATH / \"features.csv\", index=False)"
"display_name": "Python 3 (ipykernel)",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.10.9"