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" <td>0.210752</td>\n",
" <td>0.201585</td>\n",
" <td>0.422140</td>\n",
" </tr>\n",
" <tr>\n",
" <th>es_google_fleurs</th>\n",
" <td>0.341816</td>\n",
" <td>0.278543</td>\n",
" <td>0.226821</td>\n",
" <td>0.227239</td>\n",
" <td>0.220248</td>\n",
" <td>0.135718</td>\n",
" <td>0.069997</td>\n",
" </tr>\n",
" <tr>\n",
" <th>es_minds14</th>\n",
" <td>0.992263</td>\n",
" <td>0.828084</td>\n",
" <td>0.799141</td>\n",
" <td>0.791115</td>\n",
" <td>0.799426</td>\n",
" <td>0.591663</td>\n",
" <td>0.435506</td>\n",
" </tr>\n",
" <tr>\n",
" <th>es_voxpopuli</th>\n",
" <td>0.304887</td>\n",
" <td>0.249827</td>\n",
" <td>0.277536</td>\n",
" <td>0.240640</td>\n",
" <td>0.280930</td>\n",
" <td>0.276648</td>\n",
" <td>0.210668</td>\n",
" </tr>\n",
" <tr>\n",
" <th>en_google_fleurs</th>\n",
" <td>0.341285</td>\n",
" <td>0.285416</td>\n",
" <td>0.262014</td>\n",
" <td>0.249445</td>\n",
" <td>0.251211</td>\n",
" <td>0.398297</td>\n",
" <td>0.099033</td>\n",
" </tr>\n",
" <tr>\n",
" <th>en_minds14</th>\n",
" <td>0.681148</td>\n",
" <td>0.666131</td>\n",
" <td>0.669723</td>\n",
" <td>0.669332</td>\n",
" <td>0.661842</td>\n",
" <td>0.627539</td>\n",
" <td>0.361619</td>\n",
" </tr>\n",
" <tr>\n",
" <th>en_voxpopuli</th>\n",
" <td>0.364437</td>\n",
" <td>0.335141</td>\n",
" <td>0.333144</td>\n",
" <td>0.481083</td>\n",
" <td>0.419667</td>\n",
" <td>0.402100</td>\n",
" <td>0.170951</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" whisper_tiny whisper_base whisper_small whisper_medium \\\n",
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"nl_google_fleurs 0.699699 0.533595 0.366764 0.300730 \n",
"nl_minds14 0.941359 0.778265 0.584732 0.511929 \n",
"nl_voxpopuli 0.553280 0.435277 0.304322 0.252270 \n",
"fr_google_fleurs 0.580527 0.429523 0.337506 0.275466 \n",
"fr_minds14 0.800999 0.714124 0.647957 0.592392 \n",
"fr_voxpopuli 0.387866 0.307476 0.240038 0.205174 \n",
"de_google_fleurs 0.519535 0.424735 0.360695 0.353459 \n",
"de_minds14 0.693370 0.628170 0.570571 0.543742 \n",
"de_voxpopuli 0.396771 0.298134 0.236937 0.204998 \n",
"it_google_fleurs 0.453637 0.334587 0.269876 0.234494 \n",
"it_minds14 0.814580 0.681371 0.576940 0.511340 \n",
"it_voxpopuli 0.483728 0.401518 0.332556 0.290310 \n",
"pl_google_fleurs 0.741445 0.580439 0.420468 0.365168 \n",
"pl_minds14 1.138465 0.999350 0.817470 0.738430 \n",
"pl_voxpopuli 0.479609 0.366738 0.257558 0.210752 \n",
"es_google_fleurs 0.341816 0.278543 0.226821 0.227239 \n",
"es_minds14 0.992263 0.828084 0.799141 0.791115 \n",
"es_voxpopuli 0.304887 0.249827 0.277536 0.240640 \n",
"en_google_fleurs 0.341285 0.285416 0.262014 0.249445 \n",
"en_minds14 0.681148 0.666131 0.669723 0.669332 \n",
"en_voxpopuli 0.364437 0.335141 0.333144 0.481083 \n",
"\n",
" whisper_large-v2 facebook_wav2vec2 nvidia_stt \n",
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"nl_google_fleurs 0.282070 0.246416 -1.000000 \n",
"nl_minds14 0.490065 0.376911 -1.000000 \n",
"nl_voxpopuli 0.268306 0.430234 -1.000000 \n",
"fr_google_fleurs 0.259405 0.205104 0.114100 \n",
"fr_minds14 0.613262 0.421050 0.284212 \n",
"fr_voxpopuli 0.210248 0.323655 0.232059 \n",
"de_google_fleurs 0.345089 0.139605 0.074235 \n",
"de_minds14 0.546479 0.288109 0.216011 \n",
"de_voxpopuli 0.241773 0.385364 0.271072 \n",
"it_google_fleurs 0.232862 0.168723 0.089945 \n",
"it_minds14 0.495661 0.376479 0.224318 \n",
"it_voxpopuli 0.291917 -1.000000 0.288211 \n",
"pl_google_fleurs 0.348206 0.303350 -1.000000 \n",
"pl_minds14 0.754548 0.587577 -1.000000 \n",
"pl_voxpopuli 0.201585 0.422140 -1.000000 \n",
"es_google_fleurs 0.220248 0.135718 0.069997 \n",
"es_minds14 0.799426 0.591663 0.435506 \n",
"es_voxpopuli 0.280930 0.276648 0.210668 \n",
"en_google_fleurs 0.251211 0.398297 0.099033 \n",
"en_minds14 0.661842 0.627539 0.361619 \n",
"en_voxpopuli 0.419667 0.402100 0.170951 "
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"spacy_dep_df = pd.DataFrame(spacy_dep, columns=FULL_LANGUAGE_MODELS, index=FULL_DATASET_NAMES)\n",
"spacy_dep_df.to_csv('results/spacy_dep.csv')\n",
"spacy_dep_df\n",
"\n",
"summarize_df(spacy_ner, 'spacy_ner')"
"id": "3dbfbb6e-c369-47fd-801c-6df211943dc1",
"metadata": {},
"outputs": [
"data": {
"text/html": [
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"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>whisper_tiny</th>\n",
" <th>whisper_base</th>\n",
" <th>whisper_small</th>\n",
" <th>whisper_medium</th>\n",
" <th>whisper_large-v2</th>\n",
" <th>facebook_wav2vec2</th>\n",
" <th>nvidia_stt</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>nl_google_fleurs</th>\n",
" <td>0.708020</td>\n",
" <td>0.535692</td>\n",
" <td>0.365346</td>\n",
" <td>0.296100</td>\n",
" <td>0.261951</td>\n",
" <td>0.273752</td>\n",
" <td>-1.000000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>nl_minds14</th>\n",
" <td>0.897447</td>\n",
" <td>0.714498</td>\n",
" <td>0.503436</td>\n",
" <td>0.419083</td>\n",
" <td>0.389125</td>\n",
" <td>0.465494</td>\n",
" <td>-1.000000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>nl_voxpopuli</th>\n",
" <td>0.645715</td>\n",
" <td>0.526939</td>\n",
" <td>0.396940</td>\n",
" <td>0.345034</td>\n",
" <td>0.358023</td>\n",
" <td>0.380835</td>\n",
" <td>-1.000000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>fr_google_fleurs</th>\n",
" <td>0.600185</td>\n",
" <td>0.470808</td>\n",
" <td>0.378478</td>\n",
" <td>0.324236</td>\n",
" <td>0.309570</td>\n",
" <td>0.305183</td>\n",
" <td>0.206433</td>\n",
" </tr>\n",
" <tr>\n",
" <th>fr_minds14</th>\n",
" <td>0.805977</td>\n",
" <td>0.700773</td>\n",
" <td>0.642619</td>\n",
" <td>0.583323</td>\n",
" <td>0.616411</td>\n",
" <td>0.564885</td>\n",
" <td>0.441154</td>\n",
" </tr>\n",
" <tr>\n",
" <th>fr_voxpopuli</th>\n",
" <td>0.510623</td>\n",
" <td>0.440340</td>\n",
" <td>0.382961</td>\n",
" <td>0.359633</td>\n",
" <td>0.365811</td>\n",
" <td>0.323351</td>\n",
" <td>0.187074</td>\n",
" </tr>\n",
" <tr>\n",
" <th>de_google_fleurs</th>\n",
" <td>0.651989</td>\n",
" <td>0.551766</td>\n",
" <td>0.506944</td>\n",
" <td>0.478476</td>\n",
" <td>0.469045</td>\n",
" <td>0.182395</td>\n",
" <td>0.072162</td>\n",
" </tr>\n",
" <tr>\n",
" <th>de_minds14</th>\n",
" <td>0.659890</td>\n",
" <td>0.554437</td>\n",
" <td>0.474513</td>\n",
" <td>0.429274</td>\n",
" <td>0.425134</td>\n",
" <td>0.437369</td>\n",
" <td>0.357848</td>\n",
" </tr>\n",
" <tr>\n",
" <th>de_voxpopuli</th>\n",
" <td>0.645898</td>\n",
" <td>0.558876</td>\n",
" <td>0.518976</td>\n",
" <td>0.488194</td>\n",
" <td>0.525581</td>\n",
" <td>0.292203</td>\n",
" <td>0.088256</td>\n",
" </tr>\n",
" <tr>\n",
" <th>it_google_fleurs</th>\n",
" <td>0.465298</td>\n",
" <td>0.355877</td>\n",
" <td>0.287491</td>\n",
" <td>0.254384</td>\n",
" <td>0.251697</td>\n",
" <td>0.218689</td>\n",
" <td>0.140564</td>\n",
" </tr>\n",
" <tr>\n",
" <th>it_minds14</th>\n",
" <td>0.779429</td>\n",
" <td>0.621546</td>\n",
" <td>0.502670</td>\n",
" <td>0.437805</td>\n",
" <td>0.422781</td>\n",
" <td>0.429940</td>\n",
" <td>0.276002</td>\n",
" </tr>\n",
" <tr>\n",
" <th>it_voxpopuli</th>\n",
" <td>0.562729</td>\n",
" <td>0.477854</td>\n",
" <td>0.420387</td>\n",
" <td>0.388904</td>\n",
" <td>0.393964</td>\n",
" </tr>\n",
" <tr>\n",
" <th>pl_google_fleurs</th>\n",
" <td>0.553073</td>\n",
" <td>0.384142</td>\n",
" <td>0.318203</td>\n",
" <td>0.298247</td>\n",
" <td>0.335870</td>\n",
" <td>-1.000000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>pl_minds14</th>\n",
" <td>0.860626</td>\n",
" <td>0.633766</td>\n",
" <td>0.572826</td>\n",
" <td>0.563293</td>\n",
" <td>0.697584</td>\n",
" <td>-1.000000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>pl_voxpopuli</th>\n",
" <td>0.588464</td>\n",
" <td>0.489265</td>\n",
" <td>0.380883</td>\n",
" <td>0.345623</td>\n",
" <td>0.349896</td>\n",
" <td>0.324229</td>\n",
" <td>-1.000000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>es_google_fleurs</th>\n",
" <td>0.333658</td>\n",
" <td>0.261352</td>\n",
" <td>0.213950</td>\n",
" <td>0.206351</td>\n",
" <td>0.202078</td>\n",
" <td>0.145522</td>\n",
" <td>0.067686</td>\n",
" </tr>\n",
" <tr>\n",
" <th>es_minds14</th>\n",
" <td>0.884689</td>\n",
" <td>0.740604</td>\n",
" <td>0.664831</td>\n",
" <td>0.656090</td>\n",
" <td>0.650328</td>\n",
" <td>0.602494</td>\n",
" <td>0.436570</td>\n",
" </tr>\n",
" <tr>\n",
" <th>es_voxpopuli</th>\n",
" <td>0.347112</td>\n",
" <td>0.294192</td>\n",
" <td>0.333500</td>\n",
" <td>0.295472</td>\n",
" <td>0.353273</td>\n",
" <td>0.191242</td>\n",
" <td>0.067363</td>\n",
" </tr>\n",
" <tr>\n",
" <th>en_google_fleurs</th>\n",
" <td>0.348152</td>\n",
" <td>0.307207</td>\n",
" <td>0.278857</td>\n",
" <td>0.268917</td>\n",
" <td>0.270208</td>\n",
" <td>1.031485</td>\n",
" <td>0.114966</td>\n",
" </tr>\n",
" <tr>\n",
" <th>en_minds14</th>\n",
" <td>0.588375</td>\n",
" <td>0.571845</td>\n",
" <td>0.566381</td>\n",
" <td>0.567538</td>\n",
" <td>0.562651</td>\n",
" <td>1.203252</td>\n",
" <td>0.467297</td>\n",
" </tr>\n",
" <tr>\n",
" <th>en_voxpopuli</th>\n",
" <td>0.475612</td>\n",
" <td>0.451586</td>\n",
" <td>0.453132</td>\n",
" <td>0.594546</td>\n",
" <td>0.549755</td>\n",
" <td>1.020514</td>\n",
" <td>0.067919</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
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" whisper_tiny whisper_base whisper_small whisper_medium \\\n",
"nl_google_fleurs 0.708020 0.535692 0.365346 0.296100 \n",
"nl_minds14 0.897447 0.714498 0.503436 0.419083 \n",
"nl_voxpopuli 0.645715 0.526939 0.396940 0.345034 \n",
"fr_google_fleurs 0.600185 0.470808 0.378478 0.324236 \n",
"fr_minds14 0.805977 0.700773 0.642619 0.583323 \n",
"fr_voxpopuli 0.510623 0.440340 0.382961 0.359633 \n",
"de_google_fleurs 0.651989 0.551766 0.506944 0.478476 \n",
"de_minds14 0.659890 0.554437 0.474513 0.429274 \n",
"de_voxpopuli 0.645898 0.558876 0.518976 0.488194 \n",
"it_google_fleurs 0.465298 0.355877 0.287491 0.254384 \n",
"it_minds14 0.779429 0.621546 0.502670 0.437805 \n",
"it_voxpopuli 0.562729 0.477854 0.420387 0.388904 \n",
"pl_google_fleurs 0.700853 0.553073 0.384142 0.318203 \n",
"pl_minds14 1.023324 0.860626 0.633766 0.572826 \n",
"pl_voxpopuli 0.588464 0.489265 0.380883 0.345623 \n",
"es_google_fleurs 0.333658 0.261352 0.213950 0.206351 \n",
"es_minds14 0.884689 0.740604 0.664831 0.656090 \n",
"es_voxpopuli 0.347112 0.294192 0.333500 0.295472 \n",
"en_google_fleurs 0.348152 0.307207 0.278857 0.268917 \n",
"en_minds14 0.588375 0.571845 0.566381 0.567538 \n",
"en_voxpopuli 0.475612 0.451586 0.453132 0.594546 \n",
"\n",
" whisper_large-v2 facebook_wav2vec2 nvidia_stt \n",
"nl_google_fleurs 0.261951 0.273752 -1.000000 \n",
"nl_minds14 0.389125 0.465494 -1.000000 \n",
"nl_voxpopuli 0.358023 0.380835 -1.000000 \n",
"fr_google_fleurs 0.309570 0.305183 0.206433 \n",
"fr_minds14 0.616411 0.564885 0.441154 \n",
"fr_voxpopuli 0.365811 0.323351 0.187074 \n",
"de_google_fleurs 0.469045 0.182395 0.072162 \n",
"de_minds14 0.425134 0.437369 0.357848 \n",
"de_voxpopuli 0.525581 0.292203 0.088256 \n",
"it_google_fleurs 0.251697 0.218689 0.140564 \n",
"it_minds14 0.422781 0.429940 0.276002 \n",
"it_voxpopuli 0.393964 -1.000000 0.233076 \n",
"pl_google_fleurs 0.298247 0.335870 -1.000000 \n",
"pl_minds14 0.563293 0.697584 -1.000000 \n",
"pl_voxpopuli 0.349896 0.324229 -1.000000 \n",
"es_google_fleurs 0.202078 0.145522 0.067686 \n",
"es_minds14 0.650328 0.602494 0.436570 \n",
"es_voxpopuli 0.353273 0.191242 0.067363 \n",
"en_google_fleurs 0.270208 1.031485 0.114966 \n",
"en_minds14 0.562651 1.203252 0.467297 \n",
"en_voxpopuli 0.549755 1.020514 0.067919 "
"metadata": {},
"output_type": "execute_result"
"word_wer_classic_metrics_df = pd.DataFrame(word_wer_classic_metrics, columns=FULL_LANGUAGE_MODELS, index=FULL_DATASET_NAMES)\n",
"word_wer_classic_metrics_df.to_csv('results/word_wer_classic_metrics.csv')\n",
"word_wer_classic_metrics_df\n",
"\n",
"summarize_df(spacy_ner, 'spacy_ner')"
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"outputs": [
{
"data": {
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"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>whisper_tiny</th>\n",
" <th>whisper_base</th>\n",
" <th>whisper_small</th>\n",
" <th>whisper_medium</th>\n",
" <th>whisper_large-v2</th>\n",
" <th>facebook_wav2vec2</th>\n",
" <th>nvidia_stt</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>nl_google_fleurs</th>\n",
" <td>0.487020</td>\n",
" <td>0.332826</td>\n",
" <td>0.173815</td>\n",
" <td>0.118312</td>\n",
" <td>0.092164</td>\n",
" <td>0.186138</td>\n",
" <td>-1.000000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>nl_minds14</th>\n",
" <td>0.696387</td>\n",
" <td>0.528807</td>\n",
" <td>0.323153</td>\n",
" <td>0.251855</td>\n",
" <td>0.234766</td>\n",
" <td>0.306648</td>\n",
" <td>-1.000000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>nl_voxpopuli</th>\n",
" <td>0.440765</td>\n",
" <td>0.349226</td>\n",
" <td>0.233398</td>\n",
" <td>0.187694</td>\n",
" <td>0.203840</td>\n",
" <td>0.295450</td>\n",
" <td>-1.000000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>fr_google_fleurs</th>\n",
" <td>0.422005</td>\n",
" <td>0.308031</td>\n",
" <td>0.230959</td>\n",
" <td>0.181520</td>\n",
" <td>0.167575</td>\n",
" <td>0.225745</td>\n",
" <td>0.154588</td>\n",
" </tr>\n",
" <tr>\n",
" <th>fr_minds14</th>\n",
" <td>0.598664</td>\n",
" <td>0.499632</td>\n",
" <td>0.447757</td>\n",
" <td>0.395654</td>\n",
" <td>0.429327</td>\n",
" <td>0.441224</td>\n",
" <td>0.342637</td>\n",
" </tr>\n",
" <tr>\n",
" <th>fr_voxpopuli</th>\n",
" <td>0.349906</td>\n",
" <td>0.291653</td>\n",
" <td>0.242314</td>\n",
" <td>0.218193</td>\n",
" <td>0.226681</td>\n",
" <td>0.251004</td>\n",
" <td>0.147786</td>\n",
" </tr>\n",
" <tr>\n",
" <th>de_google_fleurs</th>\n",
" <td>0.328928</td>\n",
" <td>0.213515</td>\n",
" <td>0.151060</td>\n",
" <td>0.116871</td>\n",
" <td>0.104827</td>\n",
" <td>0.118999</td>\n",
" <td>0.048663</td>\n",
" </tr>\n",
" <tr>\n",
" <th>de_minds14</th>\n",
" <td>0.425754</td>\n",
" <td>0.331317</td>\n",
" <td>0.255620</td>\n",
" <td>0.222602</td>\n",
" <td>0.220104</td>\n",
" <td>0.232533</td>\n",
" <td>0.143306</td>\n",
" </tr>\n",
" <tr>\n",
" <th>de_voxpopuli</th>\n",
" <td>0.349224</td>\n",
" <td>0.259910</td>\n",
" <td>0.208328</td>\n",
" <td>0.176478</td>\n",
" <td>0.215692</td>\n",
" <td>0.228572</td>\n",
" <td>0.065661</td>\n",
" </tr>\n",
" <tr>\n",
" <th>it_google_fleurs</th>\n",
" <td>0.297877</td>\n",
" <td>0.201276</td>\n",
" <td>0.139435</td>\n",
" <td>0.114579</td>\n",
" <td>0.103925</td>\n",
" <td>0.161414</td>\n",
" <td>0.101285</td>\n",
" </tr>\n",
" <tr>\n",
" <th>it_minds14</th>\n",
" <td>0.603743</td>\n",
" <td>0.455306</td>\n",
" <td>0.323527</td>\n",
" <td>0.264797</td>\n",
" <td>0.255383</td>\n",
" <td>0.299216</td>\n",
" <td>0.162753</td>\n",
" </tr>\n",
" <tr>\n",
" <th>it_voxpopuli</th>\n",
" <td>0.418096</td>\n",
" <td>0.345687</td>\n",
" <td>0.298079</td>\n",
" <td>0.266888</td>\n",
" <td>0.270669</td>\n",
" <td>-1.000000</td>\n",
" <td>0.193692</td>\n",
" </tr>\n",
" <tr>\n",
" <th>pl_google_fleurs</th>\n",
" <td>0.493295</td>\n",
" <td>0.336319</td>\n",
" <td>0.183046</td>\n",
" <td>0.119453</td>\n",
" <td>0.096625</td>\n",
" <td>0.232851</td>\n",
" <td>-1.000000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>pl_minds14</th>\n",
" <td>0.822964</td>\n",
" <td>0.633399</td>\n",
" <td>0.420067</td>\n",
" <td>0.353710</td>\n",
" <td>0.342892</td>\n",
" <td>0.519684</td>\n",
" <td>-1.000000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>pl_voxpopuli</th>\n",
" <td>0.385923</td>\n",
" <td>0.288336</td>\n",
" <td>0.188413</td>\n",
" <td>0.152321</td>\n",
" <td>0.147463</td>\n",
" <td>0.232410</td>\n",
" <td>-1.000000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>es_google_fleurs</th>\n",
" <td>0.196055</td>\n",
" <td>0.130109</td>\n",
" <td>0.084114</td>\n",
" <td>0.077302</td>\n",
" <td>0.067295</td>\n",
" <td>0.102324</td>\n",
" <td>0.048997</td>\n",
" </tr>\n",
" <tr>\n",
" <th>es_minds14</th>\n",
" <td>0.723086</td>\n",
" <td>0.581624</td>\n",
" <td>0.497037</td>\n",
" <td>0.493568</td>\n",
" <td>0.488170</td>\n",
" <td>0.522209</td>\n",
" <td>0.397315</td>\n",
" </tr>\n",
" <tr>\n",
" <th>es_voxpopuli</th>\n",
" <td>0.222505</td>\n",
" <td>0.172764</td>\n",
" <td>0.195746</td>\n",
" <td>0.162495</td>\n",
" <td>0.201468</td>\n",
" <td>0.143578</td>\n",
" <td>0.053721</td>\n",
" </tr>\n",
" <tr>\n",
" <th>en_google_fleurs</th>\n",
" <td>0.191329</td>\n",
" <td>0.151693</td>\n",
" <td>0.121134</td>\n",
" <td>0.107578</td>\n",
" <td>0.108609</td>\n",
" <td>0.111466</td>\n",
" <td>0.088609</td>\n",
" </tr>\n",
" <tr>\n",
" <th>en_minds14</th>\n",
" <td>0.449783</td>\n",
" <td>0.433839</td>\n",
" <td>0.427788</td>\n",
" <td>0.431043</td>\n",
" <td>0.424969</td>\n",
" <td>0.424984</td>\n",
" <td>0.363642</td>\n",
" </tr>\n",
" <tr>\n",
" <th>en_voxpopuli</th>\n",
" <td>0.314581</td>\n",
" <td>0.286802</td>\n",
" <td>0.297819</td>\n",
" <td>0.439680</td>\n",
" <td>0.402555</td>\n",
" <td>0.118296</td>\n",
" <td>0.054176</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" whisper_tiny whisper_base whisper_small whisper_medium \\\n",
"nl_google_fleurs 0.487020 0.332826 0.173815 0.118312 \n",
"nl_minds14 0.696387 0.528807 0.323153 0.251855 \n",
"nl_voxpopuli 0.440765 0.349226 0.233398 0.187694 \n",
"fr_google_fleurs 0.422005 0.308031 0.230959 0.181520 \n",
"fr_minds14 0.598664 0.499632 0.447757 0.395654 \n",
"fr_voxpopuli 0.349906 0.291653 0.242314 0.218193 \n",
"de_google_fleurs 0.328928 0.213515 0.151060 0.116871 \n",
"de_minds14 0.425754 0.331317 0.255620 0.222602 \n",
"de_voxpopuli 0.349224 0.259910 0.208328 0.176478 \n",
"it_google_fleurs 0.297877 0.201276 0.139435 0.114579 \n",
"it_minds14 0.603743 0.455306 0.323527 0.264797 \n",
"it_voxpopuli 0.418096 0.345687 0.298079 0.266888 \n",
"pl_google_fleurs 0.493295 0.336319 0.183046 0.119453 \n",
"pl_minds14 0.822964 0.633399 0.420067 0.353710 \n",
"pl_voxpopuli 0.385923 0.288336 0.188413 0.152321 \n",
"es_google_fleurs 0.196055 0.130109 0.084114 0.077302 \n",
"es_minds14 0.723086 0.581624 0.497037 0.493568 \n",
"es_voxpopuli 0.222505 0.172764 0.195746 0.162495 \n",
"en_google_fleurs 0.191329 0.151693 0.121134 0.107578 \n",
"en_minds14 0.449783 0.433839 0.427788 0.431043 \n",
"en_voxpopuli 0.314581 0.286802 0.297819 0.439680 \n",
"\n",
" whisper_large-v2 facebook_wav2vec2 nvidia_stt \n",
"nl_google_fleurs 0.092164 0.186138 -1.000000 \n",
"nl_minds14 0.234766 0.306648 -1.000000 \n",
"nl_voxpopuli 0.203840 0.295450 -1.000000 \n",
"fr_google_fleurs 0.167575 0.225745 0.154588 \n",
"fr_minds14 0.429327 0.441224 0.342637 \n",
"fr_voxpopuli 0.226681 0.251004 0.147786 \n",
"de_google_fleurs 0.104827 0.118999 0.048663 \n",
"de_minds14 0.220104 0.232533 0.143306 \n",
"de_voxpopuli 0.215692 0.228572 0.065661 \n",
"it_google_fleurs 0.103925 0.161414 0.101285 \n",
"it_minds14 0.255383 0.299216 0.162753 \n",
"it_voxpopuli 0.270669 -1.000000 0.193692 \n",
"pl_google_fleurs 0.096625 0.232851 -1.000000 \n",
"pl_minds14 0.342892 0.519684 -1.000000 \n",
"pl_voxpopuli 0.147463 0.232410 -1.000000 \n",
"es_google_fleurs 0.067295 0.102324 0.048997 \n",
"es_minds14 0.488170 0.522209 0.397315 \n",
"es_voxpopuli 0.201468 0.143578 0.053721 \n",
"en_google_fleurs 0.108609 0.111466 0.088609 \n",
"en_minds14 0.424969 0.424984 0.363642 \n",
"en_voxpopuli 0.402555 0.118296 0.054176 "
]
},
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"word_wer_soft_metrics_df = pd.DataFrame(word_wer_soft_metrics, columns=FULL_LANGUAGE_MODELS, index=FULL_DATASET_NAMES)\n",
"word_wer_soft_metrics_df.to_csv('results/word_wer_soft_metrics.csv')\n",
"word_wer_soft_metrics_df\n",
"\n",
"summarize_df(spacy_ner, 'spacy_ner')"
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"outputs": [
{
"data": {
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"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>whisper_tiny</th>\n",
" <th>whisper_base</th>\n",
" <th>whisper_small</th>\n",
" <th>whisper_medium</th>\n",
" <th>whisper_large-v2</th>\n",
" <th>facebook_wav2vec2</th>\n",
" <th>nvidia_stt</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>nl_google_fleurs</th>\n",
" <td>0.512857</td>\n",
" <td>0.351476</td>\n",
" <td>0.183268</td>\n",
" <td>0.123803</td>\n",
" <td>0.095700</td>\n",
" <td>0.192525</td>\n",
" <td>-1.000000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>nl_minds14</th>\n",
" <td>0.732501</td>\n",
" <td>0.554846</td>\n",
" <td>0.346042</td>\n",
" <td>0.267858</td>\n",
" <td>0.244768</td>\n",
" <td>0.319302</td>\n",
" <td>-1.000000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>nl_voxpopuli</th>\n",
" <td>0.472829</td>\n",
" <td>0.364308</td>\n",
" <td>0.241434</td>\n",
" <td>0.193047</td>\n",
" <td>0.210556</td>\n",
" <td>0.304289</td>\n",
" <td>-1.000000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>fr_google_fleurs</th>\n",
" <td>0.442361</td>\n",
" <td>0.321953</td>\n",
" <td>0.240016</td>\n",
" <td>0.188132</td>\n",
" <td>0.174075</td>\n",
" <td>0.233362</td>\n",
" <td>0.159139</td>\n",
" </tr>\n",
" <tr>\n",
" <th>fr_minds14</th>\n",
" <td>0.628774</td>\n",
" <td>0.527781</td>\n",
" <td>0.472124</td>\n",
" <td>0.417764</td>\n",
" <td>0.451830</td>\n",
" <td>0.456835</td>\n",
" <td>0.353934</td>\n",
" </tr>\n",
" <tr>\n",
" <th>fr_voxpopuli</th>\n",
" <td>0.365471</td>\n",
" <td>0.304097</td>\n",
" <td>0.251867</td>\n",
" <td>0.226099</td>\n",
" <td>0.235006</td>\n",
" <td>0.259228</td>\n",
" <td>0.150950</td>\n",
" </tr>\n",
" <tr>\n",
" <th>de_google_fleurs</th>\n",
" <td>0.346586</td>\n",
" <td>0.227203</td>\n",
" <td>0.158453</td>\n",
" <td>0.121399</td>\n",
" <td>0.107550</td>\n",
" <td>0.123204</td>\n",
" <td>0.050265</td>\n",
" </tr>\n",
" <tr>\n",
" <th>de_minds14</th>\n",
" <td>0.446445</td>\n",
" <td>0.346742</td>\n",
" <td>0.265021</td>\n",
" <td>0.229449</td>\n",
" <td>0.226477</td>\n",
" <td>0.238560</td>\n",
" <td>0.147524</td>\n",
" </tr>\n",
" <tr>\n",
" <th>de_voxpopuli</th>\n",
" <td>0.366639</td>\n",
" <td>0.270086</td>\n",
" <td>0.215487</td>\n",
" <td>0.181204</td>\n",
" <td>0.221848</td>\n",
" <td>0.234268</td>\n",
" <td>0.067181</td>\n",
" </tr>\n",
" <tr>\n",
" <th>it_google_fleurs</th>\n",
" <td>0.313010</td>\n",
" <td>0.210131</td>\n",
" <td>0.144045</td>\n",
" <td>0.117567</td>\n",
" <td>0.106640</td>\n",
" <td>0.165954</td>\n",
" <td>0.104103</td>\n",
" </tr>\n",
" <tr>\n",
" <th>it_minds14</th>\n",
" <td>0.633334</td>\n",
" <td>0.476970</td>\n",
" <td>0.337584</td>\n",
" <td>0.275103</td>\n",
" <td>0.265102</td>\n",
" <td>0.310508</td>\n",
" <td>0.168097</td>\n",
" </tr>\n",
" <tr>\n",
" <th>it_voxpopuli</th>\n",
" <td>0.439105</td>\n",
" <td>0.363577</td>\n",
" <td>0.310733</td>\n",
" <td>0.278968</td>\n",
" <td>0.283103</td>\n",
" <td>-1.000000</td>\n",
" <td>0.198565</td>\n",
" </tr>\n",
" <tr>\n",
" <th>pl_google_fleurs</th>\n",
" <td>0.520524</td>\n",
" <td>0.358929</td>\n",
" <td>0.190407</td>\n",
" <td>0.123706</td>\n",
" <td>0.098981</td>\n",
" <td>0.242890</td>\n",
" <td>-1.000000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>pl_minds14</th>\n",
" <td>0.861366</td>\n",
" <td>0.666738</td>\n",
" <td>0.439214</td>\n",
" <td>0.370198</td>\n",
" <td>0.361172</td>\n",
" <td>0.542831</td>\n",
" <td>-1.000000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>pl_voxpopuli</th>\n",
" <td>0.404981</td>\n",
" <td>0.301113</td>\n",
" <td>0.194702</td>\n",
" <td>0.156644</td>\n",
" <td>0.151601</td>\n",
" <td>0.240070</td>\n",
" <td>-1.000000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>es_google_fleurs</th>\n",
" <td>0.204884</td>\n",
" <td>0.135018</td>\n",
" <td>0.086281</td>\n",
" <td>0.078608</td>\n",
" <td>0.067940</td>\n",
" <td>0.105327</td>\n",
" <td>0.050019</td>\n",
" </tr>\n",
" <tr>\n",
" <th>es_minds14</th>\n",
" <td>0.752425</td>\n",
" <td>0.601240</td>\n",
" <td>0.511320</td>\n",
" <td>0.505483</td>\n",
" <td>0.497249</td>\n",
" <td>0.535758</td>\n",
" <td>0.401730</td>\n",
" </tr>\n",
" <tr>\n",
" <th>es_voxpopuli</th>\n",
" <td>0.233013</td>\n",
" <td>0.179737</td>\n",
" <td>0.202485</td>\n",
" <td>0.167919</td>\n",
" <td>0.208381</td>\n",
" <td>0.148001</td>\n",
" <td>0.054963</td>\n",
" </tr>\n",
" <tr>\n",
" <th>en_google_fleurs</th>\n",
" <td>0.198209</td>\n",
" <td>0.157780</td>\n",
" <td>0.125360</td>\n",
" <td>0.111138</td>\n",
" <td>0.112012</td>\n",
" <td>0.116211</td>\n",
" <td>0.092322</td>\n",
" </tr>\n",
" <tr>\n",
" <th>en_minds14</th>\n",
" <td>0.463499</td>\n",
" <td>0.446222</td>\n",
" <td>0.442346</td>\n",
" <td>0.444175</td>\n",
" <td>0.438048</td>\n",
" <td>0.434445</td>\n",
" <td>0.371188</td>\n",
" </tr>\n",
" <tr>\n",
" <th>en_voxpopuli</th>\n",
" <td>0.325976</td>\n",
" <td>0.294154</td>\n",
" <td>0.306453</td>\n",
" <td>0.451091</td>\n",
" <td>0.414535</td>\n",
" <td>0.120754</td>\n",
" <td>0.055428</td>\n",