{"id":29682,"date":"2024-10-28T01:56:04","date_gmt":"2024-10-28T01:56:04","guid":{"rendered":"http:\/\/atmokpo.com\/w\/?p=29682"},"modified":"2024-11-26T06:51:44","modified_gmt":"2024-11-26T06:51:44","slug":"%ed%97%88%ea%b9%85%ed%8e%98%ec%9d%b4%ec%8a%a4-%ed%8a%b8%eb%a0%8c%ec%8a%a4%ed%8f%ac%eb%a8%b8-%ed%99%9c%ec%9a%a9%ea%b0%95%ec%a2%8c-%ec%9e%90%eb%8f%99-%ec%9d%8c%ec%84%b1-%ec%9d%b8%ec%8b%9d-%eb%8d%b0","status":"publish","type":"post","link":"https:\/\/atmokpo.com\/w\/29682\/","title":{"rendered":"\ud5c8\uae45\ud398\uc774\uc2a4 \ud2b8\ub80c\uc2a4\ud3ec\uba38 \ud65c\uc6a9\uac15\uc88c, \uc790\ub3d9 \uc74c\uc131 \uc778\uc2dd \ub370\uc774\ud130\uc138\ud2b8 \ubd88\ub7ec\uc624\uae30"},"content":{"rendered":"<p>\n    \uc774 \uac15\uc88c\uc5d0\uc11c\ub294 \ud5c8\uae45\ud398\uc774\uc2a4\uc758 \ud2b8\ub80c\uc2a4\ud3ec\uba38(Transformers) \ub77c\uc774\ube0c\ub7ec\ub9ac\ub97c \ud65c\uc6a9\ud558\uc5ec \uc790\ub3d9 \uc74c\uc131 \uc778\uc2dd(ASR: Automatic Speech Recognition) \ub370\uc774\ud130\uc14b\uc744 \uc5b4\ub5bb\uac8c \ubd88\ub7ec\uc624\uace0 \uc0ac\uc6a9\ud560 \uc218 \uc788\ub294\uc9c0\ub97c \uc124\uba85\ud558\uaca0\uc2b5\ub2c8\ub2e4. \ub9d0\uc500\ub4dc\ub9ac\uc790\uba74, \ub525\ub7ec\ub2dd \uae30\ubc18\uc758 \uc74c\uc131 \uc778\uc2dd \uae30\uc220\uc740 \ucd5c\uadfc \uba87 \ub144 \ub3d9\uc548 \uae09\uaca9\ud788 \ubc1c\uc804\ud558\uc600\uace0, \ud2b9\ud788 \ud5c8\uae45\ud398\uc774\uc2a4 \ub77c\uc774\ube0c\ub7ec\ub9ac\ub294 \uc774\ub7ec\ud55c \uae30\uc220\uc744 \uc190\uc27d\uac8c \uc801\uc6a9\ud560 \uc218 \uc788\ub294 \ub3c4\uad6c\ub97c \uc81c\uacf5\ud569\ub2c8\ub2e4.\n<\/p>\n<h2>1. \ud5c8\uae45\ud398\uc774\uc2a4 \ud2b8\ub80c\uc2a4\ud3ec\uba38 \uc18c\uac1c<\/h2>\n<p>\n    \ud5c8\uae45\ud398\uc774\uc2a4(Hugging Face)\ub294 \ub2e4\uc591\ud55c \uc790\uc5f0\uc5b4 \ucc98\ub9ac (NLP) \ubaa8\ub378\uc744 \uc27d\uac8c \uc0ac\uc6a9\ud560 \uc218 \uc788\ub3c4\ub85d \ub3d5\ub294 \ub77c\uc774\ube0c\ub7ec\ub9ac\ub85c \uc798 \uc54c\ub824\uc838 \uc788\uc2b5\ub2c8\ub2e4. \ucd5c\uadfc\uc5d0\ub294 \uc74c\uc131 \uc778\uc2dd \ubaa8\ub378\ub3c4 \uc9c0\uc6d0\ud558\uc5ec, \uc5f0\uad6c\uc790\uc640 \uac1c\ubc1c\uc790\ub4e4\uc774 \uc74c\uc131 \uc778\uc2dd \uae30\uc220\uc744 direkt \ud1b5\ud569\ud560 \uc218 \uc788\ub3c4\ub85d \ud558\uace0 \uc788\uc2b5\ub2c8\ub2e4. \ud2b8\ub80c\uc2a4\ud3ec\uba38 \ub77c\uc774\ube0c\ub7ec\ub9ac\ub294 \uc804\uc774 \ud559\uc2b5(Transfer Learning) \ubc0f \ub2e4\uc591\ud55c \uc0ac\uc804 \ud6c8\ub828\ub41c \ubaa8\ub378\uc744 \uc81c\uacf5\ud558\uc5ec, \ubcf5\uc7a1\ud55c \uc54c\uace0\ub9ac\uc998 \uad6c\ud604 \uc5c6\uc774\ub3c4 \uace0\uc131\ub2a5 \ubaa8\ub378\uc744 \ube60\ub974\uac8c \uad6c\ucd95\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.\n<\/p>\n<h2>2. \uc790\ub3d9 \uc74c\uc131 \uc778\uc2dd(ASR) \uac1c\uc694<\/h2>\n<p>\n    \uc790\ub3d9 \uc74c\uc131 \uc778\uc2dd(ASR)\uc740 \uc74c\uc131\uc744 \ud14d\uc2a4\ud2b8\ub85c \ubcc0\ud658\ud558\ub294 \uacfc\uc815\uc785\ub2c8\ub2e4. \uc774 \uacfc\uc815\uc740 \uc74c\ud5a5 \ubaa8\ub378, \uc5b8\uc5b4 \ubaa8\ub378, \uadf8\ub9ac\uace0 \ubc1c\uc74c \ubaa8\ub378\uc744 \ud3ec\ud568\ud558\uc5ec \uc774\ub8e8\uc5b4\uc9d1\ub2c8\ub2e4. \ucd5c\uadfc\uc758 \ub525\ub7ec\ub2dd \uae30\ubc18 ASR \uc2dc\uc2a4\ud15c\uc740 \ub300\ub7c9\uc758 \uc74c\uc131 \ub370\uc774\ud130\uc14b\uc744 \ud65c\uc6a9\ud558\uc5ec \uc0ac\ub78c\uc758 \uc74c\uc131\uc744 \uc778\uc2dd\ud558\ub294 \ub370 \ub192\uc740 \uc815\ud655\ub3c4\ub97c \ubcf4\uc5ec\uc90d\ub2c8\ub2e4.\n<\/p>\n<h2>3. \ucda9\ubd84\ud55c \ub370\uc774\ud130\uc14b \ud655\ubcf4\ud558\uae30<\/h2>\n<p>\n    **\ud5c8\uae45\ud398\uc774\uc2a4\ub294 ASR\uc744 \uc704\ud574 \ub2e4\uc591\ud55c \ub370\uc774\ud130\uc14b\uc744 \uc81c\uacf5\ud569\ub2c8\ub2e4.** \uc608\ub97c \ub4e4\uc5b4, Common Voice, LibriSpeech, TED-LIUM \ub4f1\uc774 \uc788\uc2b5\ub2c8\ub2e4. \uc704\uc758 \ub370\uc774\ud130\uc14b\uc740 \ubaa8\ub450 \ud5c8\uae45\ud398\uc774\uc2a4\uc758 \ub370\uc774\ud130\uc14b \ud5c8\ube0c\uc5d0\uc11c \uc27d\uac8c \uc811\uadfc\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \uc774\ub97c \ud1b5\ud574 \ud544\uc694\ud55c \ub370\uc774\ud130\uc14b\uc744 \uc9c1\uc811 \ubd88\ub7ec\uc62c \uc218 \uc788\uc2b5\ub2c8\ub2e4.\n<\/p>\n<h2>4. \ub370\uc774\ud130\uc14b \ubd88\ub7ec\uc624\uae30<\/h2>\n<p>\n    \uc774\uc81c \uc2e4\uc81c\ub85c \uc790\ub3d9 \uc74c\uc131 \uc778\uc2dd \ub370\uc774\ud130\uc14b\uc744 \ubd88\ub7ec\uc624\ub294 \uc608\uc81c\ub97c \uc0b4\ud3b4\ubcf4\uaca0\uc2b5\ub2c8\ub2e4. \uc774\ub97c \uc704\ud574 \uba3c\uc800 \ud544\uc694\ud55c \ud328\ud0a4\uc9c0\ub97c \uc124\uce58\ud574\uc57c \ud569\ub2c8\ub2e4. \uc544\ub798\ub294 \ud544\uc694\ud55c \ud328\ud0a4\uc9c0\ub97c \uc124\uce58\ud558\ub294 \uba85\ub839\uc5b4\uc785\ub2c8\ub2e4:\n<\/p>\n<pre><code>pip install transformers datasets<\/code><\/pre>\n<h3>4.1. \ub370\uc774\ud130\uc14b \ubd88\ub7ec\uc624\uae30 \uc608\uc81c<\/h3>\n<p>\n    \uc774\uc81c <code>datasets<\/code> \ub77c\uc774\ube0c\ub7ec\ub9ac\ub97c \ud65c\uc6a9\ud558\uc5ec Common Voice \ub370\uc774\ud130\uc14b\uc744 \ubd88\ub7ec\uc624\uaca0\uc2b5\ub2c8\ub2e4. \uc544\ub798\uc758 \ucf54\ub4dc\ub294 Python\uc73c\ub85c \uc791\uc131\ub41c \uc608\uc81c\uc785\ub2c8\ub2e4.\n<\/p>\n<pre><code>\nfrom datasets import load_dataset\n\n# Common Voice \ub370\uc774\ud130\uc14b \ub85c\ub4dc\ndataset = load_dataset(\"common_voice\", \"ko\", split=\"train\")\n\n# \ub370\uc774\ud130\uc14b\uc758 \uccab \uba87 \uac1c\uc758 \uc0d8\ud50c \ucd9c\ub825\nfor i in range(5):\n    print(dataset[i])\n<\/code><\/pre>\n<h3>4.2. \ucf54\ub4dc \uc124\uba85<\/h3>\n<p>\n    \uc704\uc758 \ucf54\ub4dc\uc5d0\uc11c <code>load_dataset<\/code> \ud568\uc218\ub294 \ud5c8\uae45\ud398\uc774\uc2a4 datasets \ub77c\uc774\ube0c\ub7ec\ub9ac\uc5d0\uc11c \uc81c\uacf5\ud558\ub294 \ub2e4\uc591\ud55c \ub370\uc774\ud130\uc14b\uc744 \uc190\uc27d\uac8c \ubd88\ub7ec\uc624\ub294 \uae30\ub2a5\uc744 \ud569\ub2c8\ub2e4. \uc5ec\uae30\uc11c\ub294 Common Voice \ub370\uc774\ud130\uc14b\uc758 \ud55c\uad6d\uc5b4 \ubc84\uc804\uc744 \ubd88\ub7ec\uc624\uace0 \uc788\uc2b5\ub2c8\ub2e4. \ubd88\ub7ec\uc628 \ub370\uc774\ud130\uc14b\uc740 <code>dataset<\/code> \ubcc0\uc218\uc5d0 \uc800\uc7a5\ub418\uba70, \uc774 \ub370\uc774\ud130\ub97c \uc0ac\uc6a9\ud558\uc5ec \uc74c\uc131 \uc778\uc2dd \ubaa8\ub378\uc744 \ud6c8\ub828\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.\n<\/p>\n<h3>4.3. \ub370\uc774\ud130\uc14b \uad6c\uc870<\/h3>\n<p>\n    Common Voice \ub370\uc774\ud130\uc14b\uc740 \uc5ec\ub7ec \ud544\ub4dc\ub97c \uac00\uc9c0\uace0 \uc788\uc2b5\ub2c8\ub2e4. \uac01 \uc0d8\ud50c\uc740 \ubcf4\ud1b5 \ub2e4\uc74c\uacfc \uac19\uc740 \ud615\ud0dc\ub85c \uc774\ub8e8\uc5b4\uc838 \uc788\uc2b5\ub2c8\ub2e4:\n<\/p>\n<ul>\n<li><strong>audio<\/strong>: \ub179\uc74c\ub41c \uc74c\uc131 \ub370\uc774\ud130\uc5d0 \ub300\ud55c \uc815\ubcf4<\/li>\n<li><strong>sentence<\/strong>: \uc74c\uc131\uc73c\ub85c \uc778\uc2dd\ub41c \ud14d\uc2a4\ud2b8<\/li>\n<li><strong>speaker_id<\/strong>: \ubc1c\ud654\uc790\uc758 ID<\/li>\n<li><strong>lang<\/strong>: \uc5b8\uc5b4 \uc815\ubcf4<\/li>\n<\/ul>\n<h2>5. \uac04\ub2e8\ud55c \uc74c\uc131 \uc778\uc2dd \ubaa8\ub378 \ud559\uc2b5<\/h2>\n<p>\n    \ub370\uc774\ud130\uc14b\uc744 \ubd88\ub7ec\uc654\uc73c\ub2c8, \uc774\uc81c \uac04\ub2e8\ud55c \uc74c\uc131 \uc778\uc2dd \ubaa8\ub378\uc744 \ud559\uc2b5\uc2dc\ucf1c \ubcf4\uaca0\uc2b5\ub2c8\ub2e4. pretrained \ubaa8\ub378\uc744 \uac00\uc838\uc640\uc11c transfer learning\uc744 \uc801\uc6a9\ud558\ub294 \ubc29\uc2dd\uc73c\ub85c \uc9c4\ud589\ud560 \uac83\uc785\ub2c8\ub2e4.\n<\/p>\n<h3>5.1. \ubaa8\ub378 \ub85c\ub4dc \ubc0f \ud6c8\ub828 \ub370\uc774\ud130 \uc900\ube44<\/h3>\n<pre><code>\nfrom transformers import Wav2Vec2ForCTC, Wav2Vec2Tokenizer\nimport torch\n\n# pretrained \ubaa8\ub378\uacfc \ud1a0\ud06c\ub098\uc774\uc800 \ub85c\ub4dc\nmodel_name = \"facebook\/wav2vec2-large-960h\"\ntokenizer = Wav2Vec2Tokenizer.from_pretrained(model_name)\nmodel = Wav2Vec2ForCTC.from_pretrained(model_name)\n\n# \uc74c\uc131 \uc2e0\ud638\ub97c \ud14d\uc2a4\ud2b8\ub85c \ubcc0\ud658\ndef transcribe(input_audio):\n    inputs = tokenizer(input_audio, return_tensors=\"pt\", padding=\"longest\")\n    with torch.no_grad():\n        logits = model(inputs.input_values).logits\n    predicted_ids = torch.argmax(logits, dim=-1)\n    transcription = tokenizer.batch_decode(predicted_ids)\n    return transcription[0]\n\n# \uccab \ubc88\uc9f8 \uc624\ub514\uc624 \uc0d8\ud50c\uc5d0 \ub300\ud574 \uc804\uc0ac \uc218\ud589\ntranscription_result = transcribe(dataset[0]['audio']['array'])\nprint(\"Transcription:\", transcription_result)\n<\/code><\/pre>\n<h3>5.2. \ucf54\ub4dc \uc124\uba85<\/h3>\n<p>\n    \uc704\uc758 \ucf54\ub4dc\ub294 \uc0ac\uc804 \ud559\uc2b5\ub41c Wav2Vec2 \ubaa8\ub378\uc744 \uc0ac\uc6a9\ud558\uc5ec \uc74c\uc131 \ub370\uc774\ud130\ub97c \ud14d\uc2a4\ud2b8\ub85c \uc804\uc0ac\ud558\ub294 \uacfc\uc815\uc785\ub2c8\ub2e4. \uc774 \ubaa8\ub378\uc740 Facebook\uc774 \uac1c\ubc1c\ud588\uace0, 960\uc2dc\uac04\uc758 \ub2e4\uc591\ud55c \uc74c\uc131 \ub370\uc774\ud130\ub97c \uae30\ubc18\uc73c\ub85c \ud559\uc2b5\ub418\uc5c8\uc2b5\ub2c8\ub2e4. <code>transcribe<\/code> \ud568\uc218\ub294 \uc785\ub825\ub41c \uc624\ub514\uc624 \uc0d8\ud50c\uc744 \uc0ac\uc6a9\ud558\uc5ec \ud14d\uc2a4\ud2b8\ub85c \ubcc0\ud658\ud558\uba70, \uacb0\uacfc\ub294 \ucf58\uc194\uc5d0 \ucd9c\ub825\ub429\ub2c8\ub2e4.\n<\/p>\n<h2>6. \uacb0\uacfc \ubd84\uc11d<\/h2>\n<p>\n    \ubaa8\ub378\uc758 \uc131\ub2a5\uc744 \ud3c9\uac00\ud558\uae30 \uc704\ud574, \uc5ec\ub7ec \uc624\ub514\uc624 \uc0d8\ud50c\uc5d0 \ub300\ud574 \uc804\uc0ac\ub97c \uc218\ud589\ud558\uace0, \uc2e4\uc81c \ud14d\uc2a4\ud2b8\uc640 \ube44\uad50\ud574 \ubcfc \uc218 \uc788\uc2b5\ub2c8\ub2e4. \uc77c\ubc18\uc801\uc73c\ub85c, \uc74c\uc131 \uc778\uc2dd \ubaa8\ub378\uc740 \ubc1c\ud654\uc790\uc758 \ubc1c\uc74c, \ub9d0\uc758 \uc18d\ub3c4, \ubc30\uacbd \uc18c\uc74c \ub4f1\uc5d0 \ub530\ub77c \uc778\uc2dd \uc815\ud655\ub3c4\uac00 \ub2ec\ub77c\uc9c8 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \uc5ec\ub7ec \uc0d8\ud50c\uc744 \ube44\uad50\ud558\uc5ec \ubaa8\ub378\uc758 \uac15\uc810\uacfc \uc57d\uc810\uc744 \ubd84\uc11d\ud558\ub294 \uac83\uc774 \uc911\uc694\ud569\ub2c8\ub2e4.\n<\/p>\n<h2>7. \uacb0\ub860<\/h2>\n<p>\n    \uc774\ubc88 \uac15\uc88c\uc5d0\uc11c\ub294 \ud5c8\uae45\ud398\uc774\uc2a4\uc758 \ud2b8\ub80c\uc2a4\ud3ec\uba38 \ub77c\uc774\ube0c\ub7ec\ub9ac\ub97c \ud65c\uc6a9\ud558\uc5ec \uc790\ub3d9 \uc74c\uc131 \uc778\uc2dd \ub370\uc774\ud130\uc14b\uc744 \ubd88\ub7ec\uc624\uace0, \uac04\ub2e8\ud55c \uc74c\uc131 \uc778\uc2dd \ubaa8\ub378\uc744 \uad6c\ucd95\ud558\ub294 \ubc29\ubc95\uc744 \uc0b4\ud3b4\ubcf4\uc558\uc2b5\ub2c8\ub2e4. \ub3d9\uc601\uc0c1\uc774\ub098 \uc74c\uc131 \ub370\uc774\ud130\ub294 \ub9ce\uc9c0\ub9cc, \uc5b4\ub5a4 \ubaa8\ub378\uc744 \uc0ac\uc6a9\ud560\uc9c0, \uc5b4\ub5bb\uac8c \ud559\uc2b5 \uc2dc\ud0ac\uc9c0\ub97c \uace0\ubbfc\ud558\ub294 \uac83\uc774 \uc911\uc694\ud569\ub2c8\ub2e4. \ud5a5\ud6c4 \ub354\uc6b1 \ubc1c\uc804\ub41c \ubaa8\ub378\uc744 \ud1b5\ud574 \ub2e4\uc591\ud55c \uc0c1\ud669\uc5d0\uc11c\ub3c4 \ub192\uc740 \uc815\ud655\ub3c4\ub97c \ub0bc \uc218 \uc788\uae30\ub97c \uae30\ub300\ud569\ub2c8\ub2e4.\n<\/p>\n<p>\n    \uc55e\uc73c\ub85c\ub3c4 \ub2e4\uc591\ud55c \ub525\ub7ec\ub2dd \uae30\uc220\uc744 \ud559\uc2b5\ud558\uace0 \uc801\uc6a9\ud558\ub294 \ub370\uc5d0 \ub3c4\uc6c0\uc774 \ub418\ub294 \uae00\uc744 \uacc4\uc18d \uc791\uc131\ud560 \uc608\uc815\uc774\ub2c8 \ub9ce\uc740 \uae30\ub300 \ubd80\ud0c1\ub4dc\ub9bd\ub2c8\ub2e4!\n<\/p>\n<h2>8. \ucc38\uace0 \uc790\ub8cc<\/h2>\n<ul>\n<li><a href=\"https:\/\/huggingface.co\/models\">\ud5c8\uae45\ud398\uc774\uc2a4 \ubaa8\ub378 \ud5c8\ube0c<\/a><\/li>\n<li><a href=\"https:\/\/huggingface.co\/docs\/transformers\/index\">\ud5c8\uae45\ud398\uc774\uc2a4 \ud2b8\ub80c\uc2a4\ud3ec\uba38 \ubb38\uc11c<\/a><\/li>\n<li><a href=\"https:\/\/huggingface.co\/datasets\">\ud5c8\uae45\ud398\uc774\uc2a4 \ub370\uc774\ud130\uc14b \ud5c8\ube0c<\/a><\/li>\n<li><a href=\"https:\/\/arxiv.org\/abs\/2006.11477\">Wav2Vec: Unsupervised Pre-training for Speech Recognition<\/a><\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>\uc774 \uac15\uc88c\uc5d0\uc11c\ub294 \ud5c8\uae45\ud398\uc774\uc2a4\uc758 \ud2b8\ub80c\uc2a4\ud3ec\uba38(Transformers) \ub77c\uc774\ube0c\ub7ec\ub9ac\ub97c \ud65c\uc6a9\ud558\uc5ec \uc790\ub3d9 \uc74c\uc131 \uc778\uc2dd(ASR: Automatic Speech Recognition) \ub370\uc774\ud130\uc14b\uc744 \uc5b4\ub5bb\uac8c \ubd88\ub7ec\uc624\uace0 \uc0ac\uc6a9\ud560 \uc218 \uc788\ub294\uc9c0\ub97c \uc124\uba85\ud558\uaca0\uc2b5\ub2c8\ub2e4. \ub9d0\uc500\ub4dc\ub9ac\uc790\uba74, \ub525\ub7ec\ub2dd \uae30\ubc18\uc758 \uc74c\uc131 \uc778\uc2dd \uae30\uc220\uc740 \ucd5c\uadfc \uba87 \ub144 \ub3d9\uc548 \uae09\uaca9\ud788 \ubc1c\uc804\ud558\uc600\uace0, \ud2b9\ud788 \ud5c8\uae45\ud398\uc774\uc2a4 \ub77c\uc774\ube0c\ub7ec\ub9ac\ub294 \uc774\ub7ec\ud55c \uae30\uc220\uc744 \uc190\uc27d\uac8c \uc801\uc6a9\ud560 \uc218 \uc788\ub294 \ub3c4\uad6c\ub97c \uc81c\uacf5\ud569\ub2c8\ub2e4. 1. \ud5c8\uae45\ud398\uc774\uc2a4 \ud2b8\ub80c\uc2a4\ud3ec\uba38 \uc18c\uac1c \ud5c8\uae45\ud398\uc774\uc2a4(Hugging Face)\ub294 \ub2e4\uc591\ud55c \uc790\uc5f0\uc5b4 \ucc98\ub9ac (NLP) \ubaa8\ub378\uc744 \uc27d\uac8c \uc0ac\uc6a9\ud560 &hellip; <a href=\"https:\/\/atmokpo.com\/w\/29682\/\" class=\"more-link\">\ub354 \ubcf4\uae30<span class=\"screen-reader-text\"> &#8220;\ud5c8\uae45\ud398\uc774\uc2a4 \ud2b8\ub80c\uc2a4\ud3ec\uba38 \ud65c\uc6a9\uac15\uc88c, \uc790\ub3d9 \uc74c\uc131 \uc778\uc2dd \ub370\uc774\ud130\uc138\ud2b8 \ubd88\ub7ec\uc624\uae30&#8221;<\/span><\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_jetpack_memberships_contains_paid_content":false,"footnotes":""},"categories":[30],"tags":[],"class_list":["post-29682","post","type-post","status-publish","format-standard","hentry","category-30"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v26.2 - 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